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Reference Guide for the British National Corpus (XML Edition)
edited by Lou Burnard
Published for the British National Corpus Consortium by the Research Technologies Service at Oxford University Computing Services
January 2007

Design of the corpus

This section discusses some of the basic design issues underlying the creation of the BNC. It summarizes the kinds of uses for which the corpus is intended, and the principles upon which it was created. Some summary information about the composition of the corpus is also included.

Purpose

The uses originally envisaged for the British National Corpus were set out in a working document called Planned Uses of the British National Corpus BNCW02 (11 April 91). This document identified the following as likely application areas for the corpus:
  • reference book publishing
  • academic linguistic research
  • language teaching
  • artificial intelligence
  • natural language processing
  • speech processing
  • information retrieval
The same document identified the following categories of linguistic information derivable from the corpus:
  • lexical
  • semantic/pragmatic
  • syntactic
  • morphological
  • graphological/written form/orthographical

In the 15 or more years since that document was published, it has become apparent that the corpus, and corpus methods in general, have had a far wider impact than anticipated, notably in the field of language teaching.

General definitions

The British National Corpus is:
  • a sample corpus: composed of text samples generally no longer than 45,000 words.
  • a synchronic corpus: the corpus includes imaginative texts from 1960, informative texts from 1975.
  • a general corpus: not specifically restricted to any particular subject field, register or genre.
  • a monolingual British English corpus: it comprises text samples which are substantially the product of speakers of British English.
  • a mixed corpus: it contains examples of both spoken and written language.

Composition

There is a broad consensus among the participants in the project and among corpus linguists that a general-purpose corpus of the English language would ideally contain a high proportion of spoken language in relation to written texts. However, it is significantly more expensive to record and transcribe natural speech than to acquire written text in computer-readable form. Consequently the spoken component of the BNC constitutes approximately 10 per cent (10 million words) of the total and the written component 90 per cent (90 million words). These were agreed to be realistic targets, given the constraints of time and budget, yet large enough to yield valuable empirical statistical data about spoken English. In the BNC sampler, a two per cent sample taken from the whole of the BNC, spoken and written language are present in approximately equal proportions, but other criteria are not equally balanced.

From the start, a decision was taken to select material for inclusion in the corpus according to an overt methodology, with specific target quantities of clearly defined types of language. This approach makes it possible for other researchers and corpus compilers to review, emulate or adapt concrete design goals. This section outlines these design considerations, and reports on the final make-up of the BNC.

This and the other tables in this section show the actual make-up of the second version of the British National Corpus (the BNC World Edition) in terms of
  • texts : number of distinct samples not exceeding 45,000 words
  • S-units: number of <s> elements identified by the CLAWS system (more or less equivalent to sentences)
  • W-units: number of <w> elements identified by the CLAWS system (more or less equivalent to words)

For further explanation of <s> and <w> elements, see section Segments and words.

Frequency tables

The XML Edition of the BNC contains 4049 texts and occupies (including all markup) 5,228,040 Kb, or about 5.2 Gb. In total, it comprises just under 100 million orthographic words (specifically, 96816116), but the number of w-units (POS-tagged items) is slightly higher at 98363783. The tagging distinguishes a further 13614425 punctuation strings, giving a total content count of 110691482 strings. The total number of sunits tagged is about 6 million (6026284). Counts for these and all the other elements tagged in the corpus are provided in the corpus header.

In the following tables both an absolute count and a percentage are given for all the counts. The percentage is calculated with reference to the relevant portion of the corpus, for example, in the table for "written text domain", with reference to the total number of w-units in written texts. Note that punctuation strings are not included in these totals. The reference totals used are given in the first table below.

In the following tables both an absolute count and a percentage are given for all the counts. The percentage is calculated with reference to the relevant portion of the corpus, for example, in the table for "written text domain", with reference to the total number of written texts. These reference totals are given in the first table below.
Table 1. Text type
textsw-units%s-units%
Spoken demographic15342339554.3061055710.13
Spoken context-governed75561758966.274275237.09
Written books and periodicals26857923814680.55439558172.94
Written-to-be-spoken3512786181.291046651.73
Written miscellaneous42174371687.564879588.09
All texts are also classified according to their date of production. For spoken texts, the date was that of the recording. For written texts, the date used for classification was the date of production of the material actually transcribed, for the most part; in the case of imaginative works, however, the date of first publication was used. Informative texts were selected only from 1975 onwards, imaginative ones from 1960, reflecting their longer ‘shelf-life’, though most (75 per cent ) of the latter were published no earlier than 1975.
Table 2. Publication date
textsw-units%s-units%
Unknown16218315851.861264162.09
1960-19744617184491.741195101.98
1975-198416947308894.802579624.28
1985-199336729008286091.58552239691.63

Spoken and written components of the corpus are discussed separately in the next two sections.

Design of the written component

Sampling basis: production and reception

While it is sometimes useful to distinguish in theory between language which is received (read and heard) and that which is produced (written and spoken), it was agreed that the selection of samples for a general-purpose corpus must take account of both perspectives.

Text that is published in the form of books, magazines, etc., is not representative of the totality of written language that is produced, as writing for publication is a comparatively specialized activity in which few people engage. However, it is much more representative of written language that is received, and is also easier to obtain in useful quantities, and thus forms the greater part of the written component of the corpus.

There was no single source of information about published material that could provide a satisfactory basis for a sampling frame, but a combination of various sources furnished useful information about the totality of written text produced and, particularly, received, some sources being more significant than others. They are principally statistics about books and periodicals that are published, bought or borrowed.

Catalogues of books published per annum tell us something about production but little about reception as many books are published but hardly read.

A list of books in print provides somewhat more information about reception as time will weed out the books that nobody bought (or read): such a list will contain a higher proportion of books that have continued to find a readership.

The books that have the widest reception are presumably those that figure in bestseller lists, particularly prize winners of competitions such as the Booker or Whitbread. Such works were certainly candidates for inclusion in the corpus, but the statistics of book-buying are such that very few texts achieve high sales while a vast number sell only a few or in modest numbers. If texts had been selected in strict arithmetical proportion to their sales, their range would have been severely limited. However, where a text from one particular subject domain was required, it was appropriate to prefer a book which had achieved high sales to one which had not.

Library lending statistics, where these are available, also indicate which books enjoy a wide reception and, like lists of books in print, show which books continue to be read.

Similar observations hold for magazines and periodicals. lists of current magazines and periodicals are similar to catalogues of published books, but perhaps more informative about language reception, as it may be that periodicals are bought and read by a wider cross-section of the community than books. Also, a periodical that fails to find a readership will not continue to be published for long.

Periodical circulation figures have to be treated with the same caution as bestseller lists, as a few titles dominate the market with a very high circulation. To concentrate too exclusively on these would reduce the range of text types in the corpus and make contrastive analysis difficult.

Published written texts were selected partly at random from Whitaker's Books in Print for 1992 and partly systematically, according to the selection features outlined in section Selection features below.

Available sources are concerned almost exclusively with published books and periodicals. It is much more difficult to obtain data concerning the production or reception of unpublished writing. Intuitive estimates were therefore made in order to establish some guidelines for text sampling in the latter area.

Selection features

Texts were chosen for inclusion according to three selection features: domain (subject field), time (within certain dates) and medium (book, periodical, etc.).

The purpose of these selection features was to ensure that the corpus contained a broad range of different language styles, for two reasons. The first was so that the corpus could be regarded as a microcosm of current British English in its entirety, not just of particular types. The second was so that different types of text could be compared and contrasted with each other.

Selection Procedure

Each selection feature was divided into classes (e.g. ‘Medium’ into books, periodicals, unpublished etc.; ‘Domain’ into imaginative, informative, etc.) and target percentages were set for each class. These percentages are quite independent of each other: there was no attempt, for example, to make 25 per cent of the selected periodicals imaginative.

Seventy-five per cent of the samples were to be drawn from informative texts, and the remaining 25 per cent from imaginative texts.

titles were to be taken from a variety of media, in the following proportions: 60 per cent from books, 30 per cent from periodicals, 10 per cent from miscellaneous sources (published, unpublished, and written to be spoken).

Half of the books in the ‘Books and Periodicals’ class were selected at random from Whitaker's Books in Print 1992. This was to provide a control group to validate the categories used in the other method of selection: the random selection disregarded Domain and Time, but texts selected by this method were classified according to these other features after selection.

Sample size and method

For books, a target sample size of 40,000 words was chosen. No extract included in the corpus exceeds 45,000 words. For the most part, texts which in their entirety were shorter than 40,000 words were further reduced by ten per cent for copyright reasons; a few texts longer than the target size were however included in their entirety. Text samples normally consist of a continuous stretch of discourse from within the whole. A convenient breakpoint (e.g. the end of a section or chapter) was chosen as far as possible to begin and end the sample so that high-level discourse units were not fragmented. Only one sample was taken from any one text. Samples were taken randomly from the beginning, middle or end of longer texts. (In a few cases, where a publication included essays or articles by a variety of authors of different nationalities, the work of non-UK authors was omitted.)

Some types of written material are composite in structure: that is, the physical object in written form is composed of more than one text unit. Important examples are issues of a newspaper or magazine which, though editorially shaped as a document, contain discrete texts, each with its specific authorship, stylistic characteristics, register and domain. The BNC attempts to separate these discrete texts where appropriate and to classify them individually according to the selection and classification features. As far as possible, the individual stories in one issue of a newspaper were grouped according to domain, for example as ‘Business’ articles, ‘Leisure’ articles, etc.

The following subsections discuss each selection criterion, and indicate the actual numbers of words in each category included.

Domain
Classification according to subject field seems hardly appropriate to texts which are fictional or which are generally perceived to be literary or creative. Consequently, these texts are all labelled imaginative and are not assigned to particular subject areas. All other texts are treated as informative and are assigned to one of the eight domains listed below.
Table 3. Written Domain
textsw-units%s-units%
Imaginative4761649642018.75135215027.10
Informative: natural & pure science14638219024.341833843.67
Informative: applied science37071741528.153566627.15
Informative: social science5261402553715.9469821813.99
Informative: world affairs4831724453419.6079850316.00
Informative: commerce & finance29573411638.343823747.66
Informative: arts26165748577.473211406.43
Informative: belief & thought14630375333.451512833.03
Informative: leisure4381223783413.9174449014.92

The evidence from catalogues of books and periodicals suggests that imaginative texts account for significantly less than 25 per cent of published output, and unpublished reports, correspondence, reference works and so on would seem to add further to the bulk of informative text which is produced and consumed. However, the overall distribution between informative and imaginative text samples is set to reflect the influential cultural role of literature and creative writing. The target percentages for the eight informative domains were arrived at by consensus within the project, based loosely upon the pattern of book publishing in the UK during the past 20 years or so, as reflected in the categorized figures for new publications that appear annually in Whitaker's Book list.

Medium
This categorisation is broad, since a detailed taxonomy or feature classification of text medium could have led to such a proliferation of subcategories as to make it impossible for the BNC adequately to represent all of them. The labels used here are intended to be comprehensive in the sense that any text can be assigned with reasonable confidence to these macro categories. The labels we have adopted represent the highest levels of a fuller taxonomy of text medium.
Table 4. Written Medium
textsw-units%s-units%
Book14115029380357.18288752357.88
Periodical12082860949432.52148764429.82
Miscellaneous published23842331354.812877005.76
Miscellaneous unpublished24935388824.022206724.42
To-be-spoken3512786181.451046652.09

The ‘Miscellaneous published’ category includes brochures, leaflets, manuals, advertisements. The ‘Miscellaneous unpublished’ category includes letters, memos, reports, minutes, essays. The ‘written-to-be-spoken’ category includes scripted television material, play scripts etc.

Descriptive features

Written texts may be further classified according to sets of descriptive features. These features describe the sample texts; they did not determine their selection. This information is recorded to allow more delicate contrastive analysis of particular sets of texts. As a simple example, the gross division into two time periods in the selection features can, of course, be refined and subcorpora defined over the BNC for more specific dates. However, the relative sizes of such subcorpora are undefined by the BNC design specification.

These descriptive features were monitored during the course of the data gathering, and text selection, in cases where a free choice of texts was available, took account of the relative balance of these features. Thus although no relative proportions were defined for different target age groups (for example), we ensured that the corpus does contain texts intended for children as well as for adults.

The following tables summarize the results for the first release of the corpus. Note that many texts remain unclassified.

Author information

Information about authors of written texts was included only where it was readily available, for example from the dust-wrapper of a book. Consequently, the coverage of such information is very patchy. The authorship of a written text was characterized as ‘corporate’ where it was produced by an organization and no specific author was given, and as ‘multiple’ in cases where several authors were named. Author sex was classified as ‘mixed’ where more than one author of either sex was specified, and ‘unknown’ where it could not reliably be determined from the author's name. Note that ‘author age’ means the author's age at the time of creation of the work concerned.

Table 5. Author type
texts w-units % s-units %
Unknown 211 3786835 4.30 174371 3.49
Corporate author 347 6497144 7.38 455649 9.13
Multiple author 1322 34563219 39.29 1810901 36.30
Sole author 1261 43106734 49.01 2547283 51.06
Table 6. Sex of author
texts w-units % s-units %
Unknown 1573 36161115 41.11 1968162 39.45
Author sex Male 920 30665582 34.86 1671420 33.50
Author sex Female 414 14588260 16.58 967522 19.39
Author sex Mixed 234 6538975 7.43 381100 7.64
Table 7. Author age-group
texts w-units % s-units %
Unknown 2518 66000719 75.04 3687586 73.92
Author age 0-14 3 59559 0.06 3443 0.06
Author age 15-24 19 542578 0.61 29810 0.59
Author age 25-34 66 2267139 2.57 159455 3.19
Author age 35-44 191 6726926 7.64 410143 8.22
Author age 45-59 205 7230714 8.22 410644 8.23
Author age 60+ 139 5126297 5.82 287123 5.75
Table 8. Domicile
texts w-units % s-units %
Unknown 2272 57227155 65.06 3133068 62.80
Author domicile UK and Ireland 841 29760000 33.83 1798301 36.05
Author domicile Commonwealth 12 411207 0.46 25759 0.51
Author domicile Continental Europe 6 234402 0.26 12466 0.24
Author domicile USA 8 245604 0.27 15675 0.31
Author domicile Elsewhere 2 75564 0.08 2935 0.05
Target audience

Some attempt was made to characterize the kind of audience for which written texts were produced in terms of age, sex and ‘level’ (a subjective assessment of the text's technicality or difficulty). The last of these proved very difficult to assess and was very frequently confused with circulation size or audience size; for that reason, no figures for it are included here.

Table 9. Audience age
texts w-units % s-units %
Child audience 42 903690 1.02 81074 1.62
Teenager audience 78 1831178 2.08 138098 2.76
Adult audience 2911 81928776 93.14 4597388 92.16
Any audience 110 3290288 3.74 171644 3.44
Table 10. Audience sex
texts w-units % s-units %
Unknown 706 20271270 23.04 1131254 22.67
Male audience 61 2396935 2.72 135950 2.72
Female audience 175 6904137 7.84 503629 10.09
Mixed audience 2199 58381590 66.37 3217371 64.49
Miscellaneous classification information

Written texts were also characterized according to their place of publication and the type of sampling used

Table 11. Publication place
texts w-units % s-units %
Unknown 690 14718827 16.73 788440 15.80
UK (unspecific) publication 263 7163111 8.14 380824 7.63
Ireland publication 37 570652 0.64 31793 0.63
UK: North (north of Mersey-Humber line) publication 191 3781055 4.29 228247 4.57
UK: Midlands (north of Bristol Channel-Wash line) publication 93 2590345 2.94 177308 3.55
UK: South (south of Bristol Channel-Wash line) publication 1853 58587808 66.61 3360401 67.36
United States publication 14 542134 0.61 21191 0.42
Table 12. Sampling type
texts w-units % s-units %
Unknown 1583 35551102 40.42 1991798 39.93
Whole text 270 6524975 7.41 433722 8.69
Beginning sample 584 21075222 23.96 1119251 22.43
Middle sample 510 18454807 20.98 1049692 21.04
End sample 119 4317326 4.90 253322 5.07
Composite sample 75 2030500 2.30 140419 2.81

In addition to the above, standard bibliographic details such as author, title, publication details, extent, topic keywords etc. were recorded for the majority of texts, as further described below (see The header).

Selection procedures employed

Books

Roughly half the titles were randomly selected from available candidates identified in Whitaker's Books in Print (BIP), 1992, by students of Library and Information Studies at Leeds City University. Each text randomly chosen was accepted only if it fulfilled certain criteria: it had to be published by a British publisher, contain sufficient pages of text to make its incorporation worthwhile, consist mainly of written text, fall within the designated time limits, and cost less than a set price. The students noted the ISBN, author, title and price of each book thus selected; the final selection weeded out texts by non-UK authors.

Half of the books having been selected by this method, the remaining half were selected systematically to make up the target percentages in each category. The selection proceeded as follows.

Bestsellers

Because of their wide reception, bestsellers were obvious candidates for selection. The lists used were those that appeared in the Bookseller at the end of the years 1987 to 1993 inclusive. Some of the books in the lists were rejected, for a variety of reasons. Obviously books that had already been selected by the random method were excluded, as were those by non-UK authors. In addition, a limit of 120,000 words from any one author was imposed, and books belonging to a domain or category whose quota had already been reached were not selected. Other bestseller lists were obtained from The Guardian, the British Council, and from Blackwells Paperback Shop.

The titles yielded by this search were mostly in the Imaginative category.

Literary prizes

The criteria for inclusion were the same as for bestsellers. The prize winners, together with runners-up and shortlisted titles, were taken from several sources, principally Anne Strachan, Prizewinning literature: UK literary award winners, London, 1989. For 1990 onwards the sources used were: the last issue of the Bookseller for each year; The Guardian Index, 1989–, entries under the term ‘Literature’; and The Times Index, 1989-, entries under the term ‘Literature — Awards’.

Literary prizes are in the main awarded to works that fall into the Imaginative category, but there are some Informative ones also.

Library loans

The source of statistics in this category was the record of loans under Public Lending Right, kindly provided by Dr J. Parker, the Registrar. The information comprised lists of the hundred most issued books and the hundred most issued children's books, in both cases for the years 1987 to 1993.

The lists consist almost exclusively of imaginative literature, and many titles found there also appear in the lists of bestsellers and prize winners.

Additional texts

As collection proceeded, monitoring disclosed potential shortfalls in certain domains. A further selection was therefore made, based on the ‘Short Loan’ collections of seven University libraries. (Short Loan collections typically contain books required for academic courses, which are consequently in heavy demand.)

Periodicals and magazines

Periodicals, magazines and newspapers account for 30 per cent of the total text in the corpus. Of these, about 250 titles were issues of newspapers. These were selected to cover as wide a spectrum of interests and language as possible. Newspapers were selected to represent as wide a geographic spread as possible: The Scotsman and the Belfast Telegraph are both represented, for example.

Other media

In addition to samples from books, periodicals, and magazines, the written part of the corpus contains about seven million words classified as ‘Miscellaneous Published’, ‘Miscellaneous Unpublished’, or as ‘Written to be spoken’. The distinction between ‘published’ and ‘unpublished’ is not an easy one; the former category largely contains publicity leaflets, brochures, fact sheets, and similar items, while the latter has a substantial proportion of school and university essays, unpublished creative writing or letters, and internal company memoranda. The ‘written to be spoken’ material includes scripted material, intended to be read aloud such as television news broadcasts; transcripts of more informal broadcast materials such as discussions or phone-ins are included in the spoken part of the corpus.

Copyright permissions

Before a selected text could be included, permissions had to be obtained from the copyright owner (publisher, agent, or author). A standard Permissions Request was drafted with considerable care, but some requests were refused, or simply not answered even after prompting, so that the texts concerned had to be excluded or replaced.

Design of the spoken component

Lexicographers and linguists have long hoped for corpus evidence about spoken language, but the practical difficulties of transcribing sufficiently large quantities of text have prevented the construction of a spoken corpus of over one million words. The British National Corpus project undertook to produce five to ten million words of orthographically transcribed speech, covering a wide range of speech variation. A large proportion of the spoken part of the corpus — over four million words — comprises spontaneous conversational English. The importance of conversational dialogue to linguistic study is unquestionable: it is the dominant component of general language both in terms of language reception and language production.

As with the written part of the corpus, the most important considerations in constructing the spoken part were sampling and representativeness. The method of transcription was also an important issue.

The issues of corpus sampling and representativeness have been discussed at great length by many corpus linguists. With spoken language there are no obvious objective measures that can be used to define the target population or construct a sampling frame. A comprehensive list of text types can be drawn up but there is no accurate way of estimating the relative proportions of each text type other than by a priori linguistically motivated analysis. An alternative approach, one well known to sociological researchers, is demographic sampling, and this was broadly the approach adopted for approximately half of the spoken part of the corpus. The sampling frame was defined in terms of the language production of the population of British English speakers in the United Kingdom. Representativeness was achieved by sampling a spread of language producers in terms of age, gender, social group, and region, and recording their language output over a set period of time.

We recognised, however, that many types of spoken text are produced only rarely in comparison with the total output of all ‘speech producers’: for example, broadcast interviews, lectures, legal proceedings, and other texts produced in situations where — broadly speaking — there are few producers and many receivers. A corpus constituted solely on the demographic model would thus omit important spoken text types. Consequently, the demographic component of the corpus was complemented with a separate text typology intended to cover the full range of linguistic variation found in spoken language; this is termed the context-governed part of the corpus.

The demographically sampled part of the corpus

The approach adopted uses demographic parameters to sample the population of British English speakers in the United Kingdom. Established random location sampling procedures were used to select individual members of the population by personal interview from across the country taking into account age, gender, and social group. Selected individuals used a portable tape recorder to record their own speech and the speech of people they conversed with over a period of up to a week. In this way a unique record of the language people use in everyday conversation was constructed.

Sampling procedure

124 adults (aged 15+) were recruited from across the United Kingdom. Recruits were of both sexes and from all age groups and social classes. The intention was, as far as possible, to recruit equal numbers of men and women, equal numbers from each of the six age groups, and equal numbers from each of four social classes.

Additional recordings were gathered for the BNC as part of the University of Bergen COLT Teenager Language Project. This project used the same recording methods and transcription scheme as the BNC, but selected only respondents aged 16 or below.

The tables below give figures for the amount of transcribed material collected by each respondent, classified by their age, class, and sex.

Table 13. Age-group
texts w-units % s-units %
Respondent Age 0-14 26 267005 6.30 41036 6.72
Respondent Age 15-24 36 665358 15.71 97993 16.04
Respondent Age 25-34 29 853832 20.16 121752 19.94
Respondent Age 35-44 22 845153 19.96 126690 20.74
Respondent Age 45-59 20 963483 22.75 136530 22.36
Respondent Age 60+ 20 639124 15.09 86556 14.17
Table 14. Social class
texts w-units % s-units %
Unknown 7 37622 0.88 5340 0.87
AB respondent 59 1372933 32.42 197795 32.39
C1 respondent 36 1104279 26.08 169387 27.74
C2 respondent 31 1087808 25.69 144876 23.72
DE respondent 20 631313 14.91 93159 15.25
Table 15. Sex
texts w-units % s-units %
Unknown 5 16245 0.38 2407 0.39
Male respondent 73 1742222 41.14 248241 40.65
Female respondent 75 2475488 58.46 359909 58.94

Recruits who agreed to take part in the project were asked to record all of their conversations over a two to seven day period. The number of days varied depending on how many conversations each recruit was involved in and was prepared to record. Results indicated that most people recorded nearly all of their conversations, and that the limiting factor was usually the number of conversations a person had per day. The placement day was varied, and recruits were asked to record on the day after placement and on any other day or days of the week. In this way a broad spread of days of the week including weekdays and weekends was achieved. A conversation log allowed recruits to enter details of every conversation recorded, and included date, time and setting, and brief details of other participants.

Recording procedure

All conversations were recorded as unobtrusively as possible, so that the material gathered approximated closely to natural, spontaneous speech. In many cases the only person aware that the conversation was being taped was the person carrying the recorder. Although an initial unnaturalness on the part of the recruit was not uncommon this soon seemed to disappear. Similarly, where non-intrusive recording was not possible, for example at a family gathering where everyone is aware they are being recorded, the same initial period of unease sometimes occurred, but in our experience again vanished quickly. The guarantee of confidentiality and complete anonymity (all references to full names and addresses have been removed from the corpus and the log), and the fact that there was an intermediary between those being recorded and those listening to the recordings certainly helped.

For each conversational exchange the person carrying the recorder told all participants they had been recorded and explained why. Whenever possible this happened after the conversation had taken place. If any participant was unhappy about being recorded the recording was erased. During the project around 700 hours of recordings were gathered.

Sample size

The number of people recruited may seem small in comparison to some demographic studies of the population of the United Kingdom. As with any sampling method, some compromise between what was theoretically desirable and what was feasible within the constraints of the BNC project had to be made. There is no doubt that recruiting 1000 people would have given greater statistical validity but the practical difficulties and cost implications of recruiting 1000 people and transcribing 50–100 million words of speech made this impossible. given that we were not attempting to represent the complete range of age and social groups within each region we considered a sample size between 100 and 130 would be adequate. It is also important to stress that the total number of participants in all conversations was well in excess of a thousand.

Piloting the demographic sampling approach
Because this approach to spoken corpus sampling had to our knowledge never previously been attempted a detailed piloting project was carried out to investigate:
  • the likelihood that enough material would be obtained from a sample of around 100 people
  • any problems that might be encountered during the recruitment and collection stages
  • any problems or difficulties experienced by recruits during taping or with logging details of conversations and participants
  • any areas where the documentation designed for the project could be improved
  • whether the recording quality under a wide range of conditions would be good enough for accurate transcription
  • whether the predicted throughput rates for tape editing, transcription and checking were accurate.

The results of the pilot generally confirmed predictions and allowed some procedures to be refined for the full project.

The context-governed part of the corpus

As mentioned above, the spoken texts in the demographic part of the corpus consists mainly of conversational English. A complementary approach was developed to create what is termed the context-governed part of the corpus. As in other spoken corpora, the range of text types was selected according to a priori linguistically motivated categories. At the top layer of the typology is a division into four equal-sized contextually based categories: educational, business, public/institutional, and leisure. Each is divided into the subcategories monologue (40 per cent) and dialogue (60 per cent). Each monologue subcategory therefore totals 10 per cent of the context-governed part of the corpus, and each dialogue subcategory 15 per cent.

Within each subcategory a range of text types was defined. This range was not fixed, and the design was flexible enough to allow the inclusion of additional text types. The sampling methodology was different for each text type but the overall aim was to achieve a balanced selection within each, taking into account such features as region, level, gender of speakers, and topic. Other features, such as purpose, were applied on the basis of post hoc judgements.

Sampling procedure

For the most part, a variety of text types were sampled within three geographic regions. However, some text types, such as parliamentary proceedings, and most broadcast categories, apply to the country as a whole and were not regionally sampled. Different sampling strategies were required for each text type, and these are outlined below.

Educational and informative:
Lectures, talks, educational demonstrations
Within each sampling area a university (or college of further education) and a school were selected. A range of lectures and talks was recorded, varying the topic, level, and speaker gender.
News commentaries
Regional sampling was not applied, but both national and regional broadcasting companies were sampled. The topic, level, and gender of commentator was varied.
Classroom interaction
Schools were regionally sampled and the level (generally based on student age) and topic were varied. Home tutorials were also included.
Business:
Company talks and interviews
Sampling took into account company size, areas of activity, and gender of speakers.
Trade union talks
Talks to union members, branch meetings and annual conferences were all sampled.
Sales demonstrations
A range of topics was included.
Business meetings
Companies were selected according to size, area of activity, and purpose of meeting.
Consultations
These included medical, legal, business and professional consultations.

All categories under this heading were regionally sampled.

Public/ or institutional:
Political speeches
Regional sampling of local politics, plus speeches in both the House of Commons and the House of Lords.
Sermons
Different denominations were sampled.
Public/government talks
Regional sampling of local inquiries and meetings, plus national issues at different levels.
Council meetings
Regionally sampled, covering parish, town, district, and county councils.
Religious meetings
Includes church meetings, group discussions, and so on.
Parliamentary proceedings
Sampling of main sessions and committees, House of Commons and House of Lords.
Legal proceedings
Royal Courts of Justice, and local Magistrates and similar courts were sampled.
Leisure:
Speeches
Regionally sampled, covering a variety of occasions and speakers.
Sports commentaries
Exclusively broadcast, sampling a variety of sports, commentators, and TV/radio channels.
Talks to clubs
Regionally sampled, covering a range of topics and speakers.
Broadcast chat shows and phone-ins
Only those that include a significant amount of unscripted speech were selected from both television and radio.
Club meetings
Regionally sampled, covering a wide range of clubs.
Sample size

Each monologue text type contains up to 200,000 words of text, and each dialogue text type up to 300,000 words. The length of text units within each text type vary — for example, news commentaries may be only a few minutes long (several hundred words), lectures are typically up to one hour (10,000 words), and some business meetings and parliamentary proceedings may last for several hours (20,000 words+). For the context-governed part of the corpus an upper limit of 10,000 words per text unit was generally imposed, although a few texts are slightly above this.

Composition of the spoken component
A total of 757 texts (6,153,671 words) make up the context-governed part of the corpus. The following contexts are distinguished:
Table 16. Spoken context
textsw-units%s-units%
Educational/Informative169164638026.6511898727.83
Business129128241620.7610736625.11
Public/Institutional262167265827.089650022.57
Leisure195157444225.4910467024.48
In addition, the following classifications are applicable to both demographic and context-governed spoken texts:
Table 17. Region
textsw-units%s-units%
Unknown354484584.30274962.64
South 311468787745.0345772644.09
Midlands213249223623.9424030623.14
North349278128026.7131255230.10
Table 18. Interaction type
textsw-units%s-units%
Monologue207156201715.00926198.92
Dialogue701884783484.9994546191.07

Basic structure

The original British National Corpus was provided as an application of ISO 8879, the Standard Generalized Mark-Up Language (SGML). This international standard provides, amongst other things, a method of specifying an application-independent document grammar, in terms of the elements which may appear in a document, their attributes, and the ways in which they may legally be combined. SGML was a predecessor of XML, the extensible markup language defined by the World Wide Web Consortium and now in general use on the World Wide Web, which was originally designed as a means of distributing SGML documents on the web.

This XML edition of the BNC is delivered in an XML format which is documented in this manual in section Markup conventions below; more detailed information about XML itself is readily available in many places.

The original BNC encoding format was also strongly influenced by the proposals of the Text Encoding Initiative (TEI). This international research project resulted in the development of a set of comprehensive guidelines for the encoding and interchange of a wide range of electronic texts amongst researchers. An initial report appeared in 1991, and a substantially revised and expanded version in early 1994. A conscious attempt was made to conform to TEI recommendations, where these had already been formulated, but in the first version of the BNC there were a number of differences in tag names, and models. In the second edition of the BNC (BNC World), the tagging scheme was changed to conform as far as possible with the published Recommendations of the TEI (??). In the XML edition, this process has continued, and the corpus schema is now supplied in the form of a TEI customization: see further ??.

Section Markup conventions describes the basic structure of the BNC encoding scheme, in terms of the XML elements and attributes distinguished and the tags used to mark them. Section Written texts describes features which are peculiar to written texts, and section Spoken texts those peculiar to spoken texts. In each case, a distinction is made between those elements which are marked up in all texts and those which (for technical or financial reasons) are not always so distinguished, and hence appear in some texts only.

Section The header describes the structure of the <teiHeader> element attached to each component of the corpus, and also to the whole corpus itself. Sections Written texts and Spoken texts informally describe the elements specific to written and to spoken texts respectively. It should be noted that by no means all of the features described here will be present in every text of the corpus, nor, if present, will they necessarily be tagged. Finally, a reference section (Formal Specification of the BNC XML schema) provides an alphabetical list of all elements and attributes used, together with the model and attribute classes to which they belong, and macros used to simplify references to them.

Markup conventions

The BNC XML edition is marked up in XML and encoded in Unicode. These formats are now so pervasive as to need little explication here; for the sake of completeness however, we give a brief summary of their chief characteristics. We strongly recommend the use of XML-aware processing tools to process the corpus.

An XML document, such as the BNC consists of a single root element, within which are nested occurrences of other element types. All element occurrences are delimited by tags. There are two forms of tag, a start-tag, marking the beginning of an element, and an end-tag marking its end. Tags are delimited by the characters < and >, and contain the name of the element (its gi, for generic identifier), preceded by a solidus (/) in the case of an end-tag.

For example, a heading or title in a written text will be preceded by a tag of the form <head> and followed by a tag in the form </head>. Everything between these two tags is regarded as the content of an element of type <head>.

Attributes applicable to element instances, if present, are also indicated within the start-tag, and take the form of an attribute name, an equals sign and the attribute value, in the form of a quoted literal. Attribute values are used for a variety of purposes, notably to represent the part of speech codes allocated to particular words by the CLAWS tagging scheme.

For example, the <head> element may take an attribute type which categorizes it in some way. A main heading will thus appear with a start tag <head type="MAIN">, and a subheading with a start tag <head type="SUB">.

The names of elements and attributes are case-significant, as are attribute values. The style adopted throughout the BNC scheme is to use lower-case letters for identifiers, unless they are derived from more than one word, in which case the first letter of the second and any subsequent word is capitalized.

Unless it is empty, every occurrence of an element must have both a start-tag and an end-tag. Empty elements use a special syntax in which start and end-tags are combined together: for example, the point at which a page break occurs in an original source is marked <pb/> rather than <pb></pb>

The BNC is delivered in UTF-8 encoding: this means that almost all characters in the corpus are represented directly by the appropriate Unicode character. The chief exceptions are the ampersand (&) which is always represented by the special string &amp;, the double quotation mark, which is sometimes represented by the special string &quot;, and the arithmetic less-than sign, which always appears as &lt;. These ‘named entity references’ use a syntactic convention of XML which is followed by this version of the corpus. All other characters, including accented letters such as é or special characters such as —, are represented directly.

The number of linebreaks in the corpus has been reduced to a minimum in order to simplify processing by non-XML aware utilities. In particular:
  • XML tags are never broken across linebreaks;
  • the TEI Header prefixed to each text contains no linebreaks
  • each <s> element begins on a new line
. Many XML aware utilities are available to convert this representation as required.

An example

Here is the opening of text J10 (a novel by Michael Pearce):
 <wtext type="FICTION">   <pb n="5"/>   <div level="1">    <head>     <s n="1">      <w c5="NN1" hw="chapter" pos="SUBST">CHAPTER </w>      <w c5="CRD" hw="1" pos="ADJ">1</w>     </s>    </head>    <p>     <s n="2">      <c c5="PUQ">‘</c>      <w c5="CJC" hw="but" pos="CONJ">But</w>      <c c5="PUN">,</c>      <c c5="PUQ">’ </c>      <w c5="VVD" hw="say" pos="VERB">said </w>      <w c5="NP0" hw="owen" pos="SUBST">Owen</w>      <c c5="PUN">,</c>      <c c5="PUQ">‘</c>      <w c5="AVQ" hw="where" pos="ADV">where </w>      <w c5="VBZ" hw="be" pos="VERB">is </w>      <w c5="AT0" hw="the" pos="ART">the </w>      <w c5="NN1" hw="body" pos="SUBST">body</w>      <c c5="PUN">?</c>      <c c5="PUQ">’</c>     </s>    </p>    ....    </div>  </wtext>
This example has been reformatted to make its structure more apparent: as noted above, in the actual corpus texts, newlines appear only at the start of each <s> element, rather than (as here) at the start of each element. The original files also lack the extra white space at the start of each line, used in the above example to indicate how the XML elements nest within one another.

The example begins with the start tag for a <wtext> (written text) element, which bears a type attribute, the value of which is FICTION, the code used for texts derived from published fiction. The start tag is followed by an empty <pb> element, which provides the page number in the original source text. This in turn is followed by the start of a <div> element, which contains the first subdivision (chapter) of this text. This first chapter begins with a heading (marked by a <head> element) followed by a paragraph (marked by the <p> element). Further details and examples are provided for all of these elements and their functions elsewhere in this documentation.

Each distinct word and punctuation mark in the text, as identified by the CLAWS tagger, has been separately tagged with a <w> or <c> element as appropriate. These elements both bear a c5 attribute, which indicates the code from the CLAWS C6 tagset allocated to that word by the CLAWS POS-tagger; <w> elements also bear a pos attribute, which provides a less fine-grained part of speech classification for the word, and an hw attribute, which indicates the root form of the word. For example, the word ‘said’ in this example has the CLAWS 5 code VVD, the simplified POS tag VERB, and the headword say. The sequence of words and punctuation marks making up a complete segment is tagged as an <s> element, and bears an n attribute, which supplies its sequence number within the text. A combination of text identifier (the three letter code) and <s> number may be used to reference any part of the corpus: the example above contains J10 1 and J10 2.

This is not, of course, a complete text: in particular, it lacks the TEI header which is prefixed to each text file making up the corpus. Its purpose is to indicate how the corpus is encoded. Any XML aware processing software, including common Web browsers, should be able to operate directly on BNC texts in XML format.

The remainder of this manual describes in more detail the intended semantics for each of the XML elements used in the corpus, with examples of their use.

Corpus and text elements

The BNC contains a large number of text samples, some spoken and some written. Each such sample has some associated descriptive or bibliographic information particular to it, and there is also a large body of descriptive information which applies to the whole corpus.

In XML terms, the corpus consists of a single element, tagged <bnc>. This element contains a single <teiHeader> element, containing metadata which relates to the whole corpus, followed by a sequence of <bncDoc> elements. Each such <bncDoc> element contains its own <teiHeader>, containing metadata relating to that specific text, followed by either a <text> element (for written texts) or an <stext> element (for spoken texts).

Each bncDoc element also carries an xml:id attribute, which supplies its standard three-character identifier.
 <bncDoc xml:id="ABC">   <teiHeader> <!-- header for text ABC here -->   </teiHeader>   <wtext> <!-- text of ABC (a written text) here -->   </wtext>  </bncDoc>

The components of the TEI header are fully documented in section The header.

Note that different elements are used for spoken and written texts because each has a different substructure; this represents a departure from TEI recommended practice.

The function of these elements and their attributes may be summarized as follows:
  • <wtext> contains a single written text.
  • <stext> contains a single spoken text, i.e. a transcription or collection of transcriptions from a single source.

Segments and words

The <s> element is the basic organizational principle for the whole corpus: every text, spoken or written, is represented as a sequence of <s> elements, possibly grouped into higher-level constructs, such as paragraphs or utterances. Each <s> element in turn contains <w> or <c> elements representing words and punctuation marks.

The n attribute is used to provide a sequential number for the <s> element to which it is attached. These numbers are, as far as possible, preserved across versions of the corpus, to facilitate referencing. This implies that the sequence numbering may have gaps, where duplicate sequences or segmentation errors have been identified and removed from the corpus. In cases where sequences formerly regarded as a single <s> have subsequently been split into two or more, the same number is retained for each new <s>, but it is suffixed by a fragment number. To identify any part of the corpus uniquely therefore, all that is needed is the three character text identifier (given as the value of the attribute xml:id on the <bncDoc> containing the text, followed by the value of the n attribute of the <s> element containing the passage to be identified.

Fragmentary sentences such as headings or labels in lists are also encoded as <s> elements, as in the following example from text CBE:
 <div type="u">   <head type="MAIN">    <s n="835">     <w c5="AJ0" hw="serious" pos="ADJ">Serious </w>     <w c5="NN1" hw="fit" pos="SUBST">fit </w>     <w c5="PRF" hw="of" pos="PREP">of </w>     <w c5="NN2" hw="giggle" pos="SUBST">giggles</w>    </s>   </head>   <p>    <s n="836">     <w c5="AT0" hw="a" pos="ART">A </w>     <w c5="NN0" hw="pair" pos="SUBST">PAIR </w>     <w c5="PRF" hw="of" pos="PREP">of </w>     <w c5="NN1" hw="tv" pos="SUBST">TV </w>     <w c5="NN2" hw="newsreader" pos="SUBST">newsreaders </w>    ...    </s>...</p> ... </div>
As noted above, at the lowest level, the corpus consists of <w> (word) and <c> (punctuation) elements, grouped into <s> (segment) elements. Each <w> element contains three attributes to indicate its morphological class or part of speech, as determined by the CLAWS tagger, a simplified form of that POS code, and an automatically-derived root form or lemma. Each <c> element also carries codes for part of speech, but not for lemma. For example, the word ‘corpora’ werever it appears in the BNC is presented like this:
 <w c5="NN2" pos="SUBST" hw="corpus">corpora </w>
Any white space following a word in the original source is preserved within the <w> tag, as in the previous example. White space is not added if no space is present in the source, as in the following example:
 <w c5="NN2" pos="SUBST" hw="corpus">corpora</w>  <c c5="PUN" pos="PUN">. </c>
The <w> element encloses a single token as identified by the CLAWS tagger. Usually this willl correspond with a word as conventionally spelled; there are however two important exceptions. Firstly, CLAWS regards certain common appreviated or enclitic forms such as ‘'s’ in ‘he's’ or <dog's> as distinct tokens, thus enabling it to distinguish them as being an auxiliary verb in the first case, and a genitive marker in the second. For example, ‘It's’ is encoded as follows:
 <w c5="PNP" hw="it" pos="PRON">It</w>  <w c5="VBZ" hw="be" pos="VERB">'s </w>
, while ‘dog's’ is encoded:
 <w c5="NN1" hw="dog" pos="SUBST">dog</w>  <w c5="POS" hw="'s" pos="UNK">'s </w>
Secondly, CLAWS treats certain common multi-word units as if they were single tokens, giving the whole of a sequence such as ‘in spite of’ a single POS code. These multiword sequences were not distinguished from individual <w> elements in earlier versions of the corpus; in the present version however a new element <mw> (for multiword) has been introduced to mark them explicitly. The individual components of a <mw> sequence are also tagged as <w> elements in the same way as elsewhere. Thus, the phrase ‘in terms of’, which in earlier editions of the BNC would have been encoded as a single <w> element, is now encoded as follows:
 <mw c5="PRP">   <w c5="PRP" hw="in" pos="PREP">in </w>   <w c5="NN2" hw="term" pos="SUBST">terms </w>   <w c5="PRF" hw="of" pos="PREP">of   </w>  </mw>
Detailed information about the procedures by which the part of speech and lemmatization information was added to the corpus is provided in section Wordclass Tagging in BNC XML, which is derived from the Manual to accompany The British National Corpus (Version 2) with Improved Word-class Tagging by Geoffrey Leech and Nicholas Smith, as distributed along with the BNC World edition of the corpus. A brief summary of the codes used and their significance is also provided in the reference section below (Formal Specification of the BNC XML schema).
  • <s> (s-unit) contains a sentence-like division of a text.
    n
    sequence number
  • <w> (word) represents a grammatical (not necessarily orthographic) word.
    pos
    supplies a simplified part-of-speech code.
    c5
    supplies the CLAWS 5 code associated with this word.
    hw
    specifies the headword under which this lexical unit is conventionally grouped, where known.
  • <c> (character) contains a significant punctuation mark as identified by the CLAWS tagger.
    c5
    the CLAWS 5 code associated with this punctuation mark.
  • <mw> contains a multi-word unit as identified by CLAWS, that is, a sequence of individual tokens which function as a single unit and can be given a single part of speech code.

Editorial indications

Despite the best efforts of its creators, any corpus as large as the BNC will inevitably contain many errors, both in transcription and encoding. Every attempt has been made to reduce the incidence of such errors to an acceptable level, using a number of automatic and semi-automatic validation and correction procedures, but exhaustive proof-reading of a corpus of this size remains economically feasible.Editorial interventions in the marked up texts take three forms. On a few occasions, where markup or commentary introduced by transcribers during the process of creating the corpus may be helpful to subsequent users, it has been retained in the form of an XML comment. On some occasions, encoders have decided to correct material evidently wrong in their copy text: such corrections are marked using the <corr> element. And on several occasions, sampling, anonymization or other concerns, have led to the omission of significant parts of the original source; such omissions are marked by means of the <gap> element.

The transcription and editorial policies defined for the corpus may not have been applied uniformly by different transcribers and consequently the usage of these elements is not consistent across all texts. The <tagsDecl> element in each text's header may be consulted for an indication of the usage of these and other elements within it (see further section The encoding description). Their absence should not be taken to imply that the text is either complete or perfectly transcribed.

In the following example, the first three chapters have been omitted for sampling reasons:
 <wtext type="FICTION">   <div level="1" n="1">    <head>     <s n="1">      <w c5="NP0" hw="friday" pos="SUBST">Friday </w>      <w c5="CRD" hw="16" pos="ADJ">16 </w>      <w c5="NP0" hw="september" pos="SUBST">September </w>      <w c5="PRP" hw="to" pos="PREP">to </w>      <w c5="NP0" hw="tuesday" pos="SUBST">Tuesday </w>      <w c5="CRD" hw="20" pos="ADJ">20 </w>      <w c5="NP0" hw="september" pos="SUBST">September</w>     </s>    </head>    <gap desc="chapters 1–3 of book 1" reason="sampling strategy"/>    <pb n="17"/>    <div level="2" n="4">     <p>      <s n="2">       <w c5="AV0" hw="once" pos="ADV">Once </w>       <w c5="AJ0" hw="free" pos="ADJ">free </w>       <w c5="PRF" hw="of" pos="PREP">of </w>       <w c5="AT0" hw="the" pos="ART">the </w>       <w c5="AJ0" hw="knotted" pos="ADJ">knotted </w>       <w c5="NN2" hw="tentacle" pos="SUBST">tentacles </w>       <w c5="PRF" hw="of" pos="PREP">of </w>       <w c5="AT0" hw="the" pos="ART">the       </w>       <w c5="AJ0" hw="eastern" pos="ADJ">eastern </w>       <w c5="NN2" hw="suburb" pos="SUBST">suburbs</w>       <c c5="PUN">, </c>       <w c5="NP0" hw="dalgliesh" pos="SUBST">Dalgliesh </w>       <w c5="VVD" hw="make" pos="VERB">made </w>       <w c5="AJ0" hw="good" pos="ADJ">good </w>       <w c5="NN1" hw="time" pos="SUBST">time </w>       <w c5="CJC" hw="and" pos="CONJ">and </w>       <w c5="PRP" hw="by" pos="PREP">by </w>       <w c5="CRD" hw="three" pos="ADJ">three </w>       <w c5="PNP" hw="he" pos="PRON">he       </w>       <w c5="VBD" hw="be" pos="VERB">was </w>       <w c5="VVG" hw="drive" pos="VERB">driving </w>       <w c5="PRP" hw="through" pos="PREP">through       </w>       <w c5="NP0" hw="lydsett" pos="SUBST">Lydsett </w>       <w c5="NN1" hw="village" pos="SUBST">village</w>       <c c5="PUN">.</c>      </s>     </p>... </div>...</div>  </wtext> <!-- C8T -->
In the following example, a proper name has been omitted:
 <s n="547">   <w c5="PNP" hw="i" pos="PRON">I </w>   <w c5="VVD" hw="ask" pos="VERB">asked </w>   <w c5="NP0" hw="mr" pos="SUBST">Mr </w>   <gap desc="name" reason="anonymization"/>   <w c5="CJC" hw="and" pos="CONJ">and </w>  ...</s> <!-- KBC -->
In the following example, a telephone number has been omitted:
 <s n="762">   <w c5="PNP" hw="he" pos="PRON">He </w>   <w c5="VVD" hw="appeal" pos="VERB">appealed </w>   <w c5="PRP" hw="for" pos="PREP">for </w>   <w c5="PNI" hw="anyone" pos="PRON">anyone </w>   <w c5="PRP" hw="with" pos="PREP">with </w>   <w c5="NN1" hw="information" pos="SUBST">information </w>   <w c5="TO0" hw="to" pos="PREP">to </w>   <w c5="VVI" hw="contact" pos="VERB">contact </w>   <w c5="PNP" hw="he" pos="PRON">him </w>   <w c5="AVP" hw="on" pos="ADV">on </w>   <gap desc="telephone number"/>   <c c5="PUN">.</c>  </s> <!-- K3C -->
In the following example, a typographic error in the original has been corrected:
 <s n="48">...  <w c5="AJ0" hw="good" pos="ADJ">good </w>   <w c5="CJC" hw="or" pos="CONJ">or </w>   <corr sic="herioc">    <w c5="AJ0" hw="heroic" pos="ADJ">heroic </w>   </corr>   <w c5="NN1" hw="behaviour" pos="SUBST">behaviour</w>  ...</s> <!-- B17 -->
In the following example, typographic variation in the original has been regularized:
 <s n="1380">   <w c5="PNP" hw="he" pos="PRON">He </w>   <w c5="VVD" hw="use" pos="VERB">used </w>   <w c5="AT0" hw="the" pos="ART">the </w>   <w c5="NN1" hw="telephone" pos="SUBST">telephone </w>   <w c5="TO0" hw="to" pos="PREP">to </w>   <w c5="VVI" hw="ring" pos="VERB">ring </w>   <w c5="DPS" hw="he" pos="PRON">his </w>   <w c5="DT0" hw="own" pos="ADJ">own </w>   <w c5="NN1" hw="number" pos="SUBST">number </w>   <w c5="CJC" hw="and" pos="CONJ">and </w>   <w c5="NP0" hw="celia" pos="SUBST">Celia</w>   <w c5="POS" hw="'s" pos="UNC">'s</w>   <c c5="PUN">, </c>   <w c5="PRP" hw="on" pos="PREP">on </w>   <w c5="AT0" hw="the" pos="ART">the </w>   <corr sic="offchance" resp="OUCS">    <w c5="AJ0" hw="off" pos="ADJ">off </w>    <w c5="NN1" hw="chance" pos="SUBST">chance </w>   </corr>   <w c5="CJT" hw="that" pos="CONJ">that </w>   <w c5="NP0" hw="dougal" pos="SUBST">Dougal </w>   <w c5="VHD" hw="have" pos="VERB">had </w>   <w c5="VVN" hw="go" pos="VERB">gone </w>   <w c5="PRP" hw="to" pos="PREP">to </w>   <w c5="NP0" hw="primrose" pos="SUBST">Primrose </w>   <w c5="NP0" hw="hill" pos="SUBST">Hill</w>   <c c5="PUN">.</c>  </s> <!-- GUU -->
The usage of these elements may be summarized as follows:
  • <gap> (omitted material) indicates a point where material has been omitted from the transcription.
    desc
    briefly describes the material which has been omitted.
    reason
    gives further details of the reason for omission.
    resp
    indicates the agency responsible for the intervention or interpretation, for example an editor or transcriber.
  • <corr> (correction) contains the correct form of a passage apparently erroneous in the copy text.
    sic
    contains verbatim text which has been corrected, or an empty string if the correction consists of an addition.
    rend
    a code briefly characterising the way the element content was originally presented.
    resp
    a code identifying the agency responsible for making the correction.
Note that the <sic> element used in preceding editions of the BNC is no longer used.

Written texts

Divisions of written texts

Written texts exhibit a rich variety of different structural forms. Some have very little organization at levels higher than the paragraphs; others may have a complex hierarchy of parts, sections, chapters etc. Novels are divided into chapters, newspapers into sections, reference works into articles and so forth. In the BNC all such structural divisions are represnted uniformly by means of the <div> element.
  • <div> (text division) contains a subdivision of the front, body, or back of a text.
    n
    for a spoken text, identities the tape corresponding to this division.
    level
    specifies the hierarchic level of this division as a number between 1 (outermost or largest division) and 4 (innermost or smallest).
    type
    identifies the type or function of the division (for a written text).
The n attribute is sometimes used to supply an identifying name or number used within the text for a given division, for example, a chapter number, as in the following example:
 <div type="chapter" n="three" level="1">...</div>

More often, however, chapter names or numbers will appear within the text, tagged using the <head> element discussed in section Headings and captions below.

The value of the attribute type is used to characterise the function of the textual division, according to an informal taxonomy listed above. If a value is supplied for one division at a given level, it may be assumed to apply to all subsequent divisions at the same level until the end of the enclosing element, although it is not always explicitly specified.

Where <div> levels are nested, for example where the chapters of a novel are grouped into parts each of which may have its own title or number, the level attribute is used to indicate the depth of nesting. This is not strictly necessary (since an XML-aware processor retains this information) but has been added for the convenience of users of previous versions of the corpus, in which the level was explicitly coded into the name of the surrounding element (<div>, <div> etc.)

In text ANY, for example, each chapter of the original novel corresponds with a <div level="2">, because the work contains groups of chapters, each of which begins with a page containing just a date. The opening of the text is therefore encoded as follows:
 <wtext type="FICTION">   <div level="1" n="1">    <s n="1">     <w c5="NP0" hw="monday" pos="SUBST">Monday</w>     <c c5="PUN">, </c>     <w c5="NP0" hw="january" pos="SUBST">January </w>     <w c5="ORD" hw="13th" pos="ADJ">13th</w>     <c c5="PUN">, </c>     <w c5="CRD" hw="1986" pos="ADJ">1986</w>     <c c5="PUN">.</c>    </s>    <div level="2" n="1">     <p>      <s n="2">       <w c5="NP0" hw="victor" pos="SUBST">Victor </w>       <w c5="NP0" hw="wilcox" pos="SUBST">Wilcox </w>       <w c5="VVZ" hw="lie" pos="VERB">lies </w>       <w c5="AJ0" hw="awake" pos="ADJ">awake</w>      ...       </s>     </p>    </div>   </div>...</wtext>

Note however that in some texts initial sentences (like ‘Monday, January 13th, 1986’ above) may have been misplaced, so that they appear at the start of an inner <div> rather than the start of its parent.

A sequence of paragraph-level elements of arbitrary length may precede the first structural subdivision at any level. A text may have no structural divisions within it at all. Note that any prefatory or appended matter not forming part of a text will not generally be captured: the tei elements <front> and <back> elements are not used.

Paragraph-level elements and chunks

Written texts may be organized into structural units containing more than one <s> element and smaller than any of the divisions discussed in section Divisions of written texts above. The most commonly found such element is the <p> (paragraph):
  • <p> (paragraph) marks paragraphs in prose.
    type
    indicates how the paragraph is displayed Values are:
    caption
    the paragraph is displayed as a caption
    caption:byline
    the displayed paragraph contains a byline
    caption:display
    the paragraph is displayed as a floating caption
    caption:attached
    the paragraph is displayed as an attached caption
    (In addition to global attributes and those inherited from [att.rendered ] )
Several other elements may however appear directly within <div> or within <text> elements, not nested within some other element such as a paragraph. An list of these elements follows:
  • <head> (heading) contains any type of heading, for example the title of a section or a poem.
    type
    rend
    a code briefly characterising the way the element content was originally presented.
  • <quote> (quotation) contains a phrase or passage attributed by the narrator or author to some agency external to the text.
  • <sp> (speech) An individual speech in a performance text, or a passage presented as such in a prose or verse text.
  • <lg> (line group) contains a group of verse lines functioning as a formal unit, e.g. a stanza, refrain, verse paragraph, etc.
  • <list> contains any sequence of items organized as a list.
  • <note> contains a note or annotation.
    place
    n
    internal identifier
  • <bibl> (bibliographic citation) contains any bibliographic reference, occurring either within the header of a written corpus text in which case it has a fixed substructure, or within the body of a corpus text, in which case it contains only s elements.

Each of these elements contains one or more <s> elements, as discussed above; in some cases enclosed by an intermediate element. They are used chiefly to indicate the function of sections of the text, as indicated in the list above.

The following sections provide examples for the use of each of these elements.

Headings and captions

One or more <head> elements of specified types may appear in sequence at the start of any <div> element, or at the start of a <list> or <poem>, as in the following examples:.
 <div level="1" n="1">   <head type="MAIN">    <s n="1">     <w c5="NN1" hw="ageism" pos="SUBST">AGEISM</w>    </s>   </head>   <head type="SUB">    <s n="2">     <w c5="AT0" hw="the" pos="ART">THE </w>     <w c5="NN1" hw="foundation" pos="SUBST">FOUNDATION </w>     <w c5="PRF" hw="of" pos="PREP">OF </w>     <w c5="NN1" hw="age" pos="SUBST">AGE </w>     <w c5="NN1" hw="discrimination" pos="SUBST">DISCRIMINATION</w>    </s>   </head>   <head type="BYLINE">    <s n="3">     <w c5="NP0" hw="steve" pos="SUBST">STEVE </w>     <w c5="NP0-NN1" hw="scrutton" pos="SUBST">SCRUTTON</w>    </s>   </head>...</div>

As shown above, the type attribute is used to distinguish more exactly the function of a heading.

Note that, in the BNC, captions or headings which ‘float’ within the text, that is, which appear elsewhere than at the very beginning of the section which they name, are not encoded as <head> elements. A <head> element can appear only at the start of a text division and is logically associated with it (for example, chapter titles, newspaper headlines etc.). Paragraphs which provide heading or captioning information, but which are logically independent of their position within a textual division (for example, captions attached to pictures or figures, or ‘pull-quotes’ embedded within the text) are represented in the same way as any other paragraph of text, using the <p> element, but specifying the value caption in their rend attribute.

In the following example, the <head> element is followed by a number of captions introducing particular parts of a magazine story:
 <div level="1">   <head>    <s n="40">     <w c5="NN2" hw="trousers" pos="SUBST">TROUSERS </w>     <w c5="VVB-NN1" hw="suit" pos="VERB">SUIT</w>    </s>   </head>   <p type="caption">    <s n="41">     <w c5="EX0" hw="there" pos="PRON">There </w>     <w c5="VBZ" hw="be" pos="VERB">is </w>     <w c5="PNI" hw="nothing" pos="PRON">nothing </w>     <w c5="AJ0" hw="masculine" pos="ADJ">masculine </w>     <w c5="PRP" hw="about" pos="PREP">about </w>     <w c5="DT0" hw="these" pos="ADJ">these </w>     <w c5="AJ0" hw="new" pos="ADJ">new </w>     <w c5="NN1" hw="trousers" pos="SUBST">trouser </w>     <w c5="VVZ-NN2" hw="suit" pos="VERB">suits </w>     <w c5="PRP" hw="in" pos="PREP">in </w>     <w c5="NN1" hw="summer" pos="SUBST">summer</w>     <w c5="POS" hw="'s" pos="UNC">'s </w>     <w c5="AJ0" hw="soft" pos="ADJ">soft </w>     <w c5="NN2" hw="pastel" pos="SUBST">pastels</w>     <c c5="PUN">.</c>    </s>...</p>...</div>

Quotations

A quotation is an extract from some other work than the text itself which is embedded within it, for example as an epigraph or illustration. It is marked up using the <quote> element. This may contain any combination of other chunks (for example paragraphs, poems, lists) but may not directly contain phrase-level elements. A reference for the citation may also be contained within it.

For example:
 <quote>   <p>    <s n="2080">     <w c5="DT0" hw="this" pos="ADJ">This </w>     <w c5="NN1" hw="way" pos="SUBST">way </w>     <w c5="PRP" hw="for" pos="PREP">for     </w>     <w c5="AT0" hw="the" pos="ART">the </w>     <w c5="AJ0" hw="sorrowful" pos="ADJ">sorrowful </w>     <w c5="NN1" hw="city" pos="SUBST">city</w>     <c c5="PUN">.</c>    </s>   ...   <s n="2083">     <w c5="VVB" hw="abandon" pos="VERB">Abandon </w>     <w c5="DT0" hw="all" pos="ADJ">all </w>     <w c5="NN1" hw="hope" pos="SUBST">hope</w>     <c c5="PUN">, </c>     <w c5="PNP" hw="you" pos="PRON">you </w>     <w c5="PNQ" hw="who" pos="PRON">who </w>     <w c5="VVB" hw="enter" pos="VERB">enter</w>     <c c5="PUN">…</c>    </s>    <bibl>     <s n="2084">      <w c5="NP0" hw="dante" pos="SUBST">Dante</w>     </s>    </bibl>   </p>  </quote>

Spoken paragraphs

As noted above, the <sp> element is used to mark parts of a written text which were or are intended to be spoken, for example the speeches in a dramatic text or a published interview. Such parts are generally readily identifiable by the use of such conventions as speaker prefixes (the label supplying the name of the speaker) and stage directions, for which the following additional elements are used:
  • <speaker> A specialized form of heading or label, giving the name of one or more speakers in a dramatic text or fragment.
  • <stage> (stage direction) contains any kind of stage direction within a dramatic text or fragment.

The <sp> element is used only for speech which is presented as such in a written text, by contrast with the element <u> discussed in section Utterances, which is used only for speaker turns identified in a spoken text, i.e. one which has been transcribed from audio tape.

If present, a <speaker> element will appear only at the start of the <sp> element, followed by one or more <p> elements containing the actual speech.

Here is an example of a stage direction occurring within a speech:
 <sp>   <p>    <s n="1115">     <w c5="CRD" hw="seven" pos="ADJ">Seven </w>     <w c5="NN2" hw="book" pos="SUBST">books </w>     <w c5="AT0" hw="a" pos="ART">a </w>     <w c5="NN1" hw="week" pos="SUBST">week</w>     <c c5="PUN">.</c>    </s>   </p>   <stage rend="it">    <s n="1119">     <w c5="PNP" hw="he" pos="PRON">He </w>     <w c5="VVZ" hw="dance" pos="VERB">dances</w>    </s>   </stage>   <p>    <s n="1122">     <w c5="NN1" hw="library" pos="SUBST">Library </w>     <w c5="NN2" hw="book" pos="SUBST">books</w>     <c c5="PUN">.</c>    </s>   </p>  </sp>
These elements appear frequently in formal transcriptions of written proceedings, notably those parts of the BNC which are extracted from Hansard:
 <sp>   <p>    <s n="20468">     <w c5="DT0" hw="that" pos="ADJ">That </w>     <w c5="NN1" hw="millionaire" pos="SUBST">millionaire </w>     <w c5="NN1" hw="mammy" pos="SUBST">mammy</w>     <w c5="POS" hw="'s" pos="UNC">'s </w>     <w c5="NN1" hw="boy" pos="SUBST">boy </w>     <c c5="PUN">—</c>    </s>    <stage>     <s n="20469">      <w c5="NN1" hw="interruption" pos="SUBST">Interruption</w>     </s>    </stage>   </p>  </sp>  <sp>   <speaker>    <s n="20470">     <w c5="NP0" hw="mr." pos="SUBST">Mr. </w>     <w c5="NP0" hw="speaker" pos="SUBST">Speaker</w>    </s>   </speaker>   <p>    <s n="20471">     <w c5="NN1-VVB" hw="order" pos="SUBST">Order</w>     <c c5="PUN">.</c>    </s>    <s n="20472">     <w c5="DT0" hw="that" pos="ADJ">That </w>     <w c5="VBZ" hw="be" pos="VERB">is </w>     <w c5="XX0" hw="not" pos="ADV">not </w>     <w c5="AV0" hw="wholly" pos="ADV">wholly </w>     <w c5="AJ0" hw="unparliamentary" pos="ADJ">unparliamentary</w>     <c c5="PUN">.</c>    </s>   </p>  </sp>

Poetry

Poetry is distinguished from prose in the BNC where it is so presented in the original, for example as fragments of verse or song may appearing within or between paragraphs of prose. The <l> (line) element is used to mark each verse line; where there are several such lines, perhaps with a heading, they are grouped together using the <lg> (linegroup) element, and any title or heading present is marked with a <head> element.

For example:
 <lg>   <l>    <s n="906">     <w c5="PNP" hw="i" pos="PRON">I </w>     <w c5="VVB" hw="send" pos="VERB">send </w>     <w c5="DPS" hw="i" pos="PRON">my </w>     <w c5="NN1" hw="soul" pos="SUBST">soul </w>     <w c5="PRP" hw="through" pos="PREP">through </w>     <w c5="NN1" hw="time" pos="SUBST">time </w>     <w c5="CJC" hw="and" pos="CONJ">and </w>     <w c5="NN1-VVB" hw="space" pos="SUBST">space </w>     <w c5="TO0" hw="to" pos="PREP">to </w>     <w c5="VVI" hw="greet" pos="VERB">greet </w>     <w c5="PNP" hw="you" pos="PRON">you</w>     <c c5="PUN">.</c>    </s>   </l>   <l>    <s n="907">     <w c5="PNP" hw="you" pos="PRON">You </w>     <w c5="VBD" hw="be" pos="VERB">were </w>     <w c5="AT0" hw="a" pos="ART">a </w>     <w c5="NN1" hw="poet" pos="SUBST">poet</w>     <c c5="PUN">.</c>    </s>    <s n="908">     <w c5="PNP" hw="you" pos="PRON">You </w>     <w c5="VM0" hw="will" pos="VERB">will </w>     <w c5="VVI" hw="understand" pos="VERB">understand</w>     <c c5="PUN">.</c>    </s>   </l>  </lg>

Note that the <l> element is not used to mark typographic lineation. Layout information is not, in general, preserved in the BNC.

Lists

A list is a collection of distinct items flagged as such by special layout in written texts, often functioning as a single syntactic unit. Lists may appear within or between paragraphs. Where marked, lists are tagged with the <list> element, which may contain the following subelements:
  • <head> (heading) contains any type of heading, for example the title of a section or a poem.
    type
    Legal values are:
    MAIN
    a major heading.
    SUB
    any sub-heading.
    BYLINE
    a sub-heading providing the name of a journalist or other source of a newspaper report.
    (In addition to global attributes and those inherited from [att.rendered ] )
  • <label> contains the label associated with an item in a list; in glossaries, marks the term being defined.
  • <item> contains one component of a list.

A <list> element consists of an optional <head> element, followed by one or more <item> elements, each of which may optionally be preceded by a <label> element, used to hold the identifier or tag sometimes attached to a list item, for example ‘(a)’. It may also contain a word or phrase used for a similar purpose.

The <item> element may appear only inside lists. It contains the same mixture of elements as a paragraph, and may thus contain one or more nested lists. It may also contains a series of paragraphs, each marked with a <p> element.

Here is an example of a simple list:
 <list>   <item>    <s n="87">     <w c5="VBZ" hw="be" pos="VERB">Is </w>     <w c5="DPS" hw="you" pos="PRON">your </w>     <w c5="NN1" hw="nylon" pos="SUBST">nylon </w>     <hi rend="it">      <w c5="NN1" hw="nightie" pos="SUBST">nightie </w>     </hi>     <w c5="AJ0" hw="fireproof" pos="ADJ">fireproof</w>     <c c5="PUN">?</c>    </s>   </item>   <item>    <s n="88">     <w c5="AT0" hw="the" pos="ART">The </w>     <w c5="NN1" hw="hurricane" pos="SUBST">hurricane </w>     <w c5="VBD" hw="be" pos="VERB">was </w>     <hi rend="it">      <w c5="AV0" hw="mighty" pos="ADV">mighty </w>     </hi>     <w c5="AJ0" hw="fierce" pos="ADJ">fierce</w>     <c c5="PUN">.</c>    </s>   </item>   <item>    <s n="89">     <w c5="VM0" hw="will" pos="VERB">Will </w>     <w c5="PNP" hw="you" pos="PRON">you </w>     <hi rend="it">      <w c5="VVI" hw="mow" pos="VERB">mow </w>     </hi>     <w c5="AT0" hw="the" pos="ART">the </w>     <w c5="NN1" hw="lawn" pos="SUBST">lawn</w>     <c c5="PUN">?</c>    </s>   </item>   <item>    <s n="90">     <w c5="VDD" hw="do" pos="VERB">Did </w>     <w c5="PNP" hw="you" pos="PRON">you </w>     <hi rend="it">      <w c5="VVI" hw="know" pos="VERB">know      </w>     </hi>     <w c5="AT0" hw="the" pos="ART">the </w>     <w c5="NN1" hw="time" pos="SUBST">time</w>     <c c5="PUN">?</c>    </s>   </item>  </list>
Here is an example of a labelled list:
 <list>   <label>    <s n="424">     <w c5="CRD" hw="1" pos="ADJ">1</w>     <c c5="PUN">.</c>    </s>   </label>   <item>    <s n="425">     <w c5="NN1-NP0" hw="surya" pos="SUBST">Surya </w>     <c c5="PUN">— </c>     <w c5="NN1" hw="sun" pos="SUBST">Sun </w>     <c c5="PUN">— </c>     <w c5="AJ0" hw="creative" pos="ADJ">Creative </w>     <w c5="NN1" hw="agent" pos="SUBST">agent</w>    </s>   </item>   <label>    <s n="426">     <w c5="CRD" hw="2" pos="ADJ">2</w>     <c c5="PUN">.</c>    </s>   </label>   <item>    <p>     <s n="427">      <w c5="NN1-NP0" hw="vayu" pos="SUBST">Vayu </w>      <c c5="PUN">— </c>      <w c5="NN1" hw="air" pos="SUBST">Air </w>      <c c5="PUN">— </c>      <w c5="VVG-AJ0" hw="preserve" pos="VERB">Preserving </w>      <w c5="NN1" hw="agent" pos="SUBST">agent </w>      <pb n="43"/>     </s>    </p>   </item>   <label>    <s n="428">     <w c5="CRD" hw="3" pos="ADJ">3</w>     <c c5="PUN">.</c>    </s>   </label>   <item>    <p>     <s n="429">      <w c5="NN2" hw="agni" pos="SUBST">Agni </w>      <c c5="PUN">—      </c>      <w c5="NN1-VVB" hw="fire" pos="SUBST">Fire </w>      <c c5="PUN">—      </c>      <w c5="AJ0" hw="destructive" pos="ADJ">Destructive </w>      <w c5="NN1" hw="agent" pos="SUBST">agent</w>     </s>    </p>   </item>  </list>

Notes and citations

Annotations occurring in written texts, and bibliographic citations or references, have been marked up in some texts, using the <note> element.

Original notes may contain any mixture of other chunks, and may also contain paragraphs: they appear in written texts only. They may be relocated to the end of the section in which they appear.

For example:
 <note place="SIDE">   <s n="477">    <w c5="AT0" hw="the" pos="ART">The </w>    <w c5="AJ0-NN1" hw="short" pos="ADJ">short </w>    <w c5="VBZ" hw="be" pos="VERB">is </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="NN1" hw="film" pos="SUBST">film </w>    <w c5="PRP" hw="about" pos="PREP">about </w>    <w c5="NN1-VVG" hw="sailing" pos="SUBST">sailing</w>    <c c5="PUN">.</c>   </s>...</note> <!-- A6C 476-->  <s n="56">   <w c5="PNP" hw="i" pos="PRON">I </w>   <w c5="VVB" hw="expect" pos="VERB">expect </w>   <w c5="NN1-VVB" hw="demand" pos="SUBST">demand </w>   <w c5="PRP" hw="for" pos="PREP">for </w>   <w c5="DT0" hw="this" pos="ADJ">this </w>   <w c5="NN1" hw="service" pos="SUBST">service </w>   <w c5="TO0" hw="to" pos="PREP">to </w>   <w c5="VVI" hw="continue" pos="VERB">continue </w>   <w c5="TO0" hw="to" pos="PREP">to </w>   <w c5="VVI" hw="grow" pos="VERB">grow </w>   <w c5="PRP-AVP" hw="over" pos="PREP">over </w>   <w c5="AT0" hw="the" pos="ART">the </w>   <w c5="AJ0" hw="coming" pos="ADJ">coming </w>   <w c5="NN1" hw="year" pos="SUBST">year</w>   <c c5="PUN">.</c>  </s>  <note n="2">   <s n="57">    <w c5="NN1" hw="aids" pos="SUBST">AIDS </w>    <w c5="NN2" hw="death" pos="SUBST">deaths</w>    <c c5="PUN">: </c>    <w c5="NP0" hw="april" pos="SUBST">April </w>    <w c5="CRD" hw="1990" pos="ADJ">1990 </w>    <c c5="PUN">— </c>    <w c5="NP0" hw="march" pos="SUBST">March </w>    <w c5="CRD" hw="1991" pos="ADJ">1991</w>    <c c5="PUN">, </c>    <w c5="NP0" hw="uk" pos="SUBST">UK </w>    <w c5="NN1" hw="total" pos="SUBST">total </w>    <c c5="PUL">(</c>    <w c5="NP0" hw="cdsc" pos="SUBST">CDSC </w>    <w c5="NN2-VVZ" hw="figure" pos="SUBST">figures </w>    <c c5="PUN">— </c>    <w c5="CRD" hw="584" pos="ADJ">584 </w>    <w c5="NP0" hw="april" pos="SUBST">April </w>    <w c5="CRD" hw="1991" pos="ADJ">1991</w>    <c c5="PUN">.</c>    <c c5="PUR">)</c>   </s>   <s n="58">    <w c5="DPS" hw="we" pos="PRON">Our </w>    <w c5="NN1" hw="home" pos="SUBST">Home </w>    <w c5="NN1-VVB" hw="care" pos="SUBST">Care </w>    <w c5="NN2" hw="team" pos="SUBST">teams </w>    <w c5="VVD" hw="see" pos="VERB">saw </w>    <w c5="CRD" hw="141" pos="ADJ">141 </w>    <w c5="NN2" hw="aid" pos="SUBST">AIDS </w>    <w c5="AJ0-VVD" hw="related" pos="ADJ">related </w>    <w c5="NN2" hw="death" pos="SUBST">deaths </w>    <w c5="ORD" hw="last" pos="ADJ">last </w>    <w c5="NN1" hw="year" pos="SUBST">year</w>   </s>  </note>  <p>   <s n="59">    <w c5="PRP" hw="in" pos="PREP">In </w>    <w c5="NP0" hw="scotland" pos="SUBST">Scotland </w>    <w c5="AV0" hw="rapidly" pos="ADV">rapidly </w>    <w c5="AJ0-VVG" hw="growing" pos="ADJ">growing </w>    <w c5="NN2" hw="number" pos="SUBST">numbers </w>    <w c5="PRF" hw="of" pos="PREP">of </w>    <w c5="AJ0" hw="ill" pos="ADJ">ill </w>    <w c5="NN2" hw="man" pos="SUBST">men</w>    <c c5="PUN">, </c>    <w c5="NN2" hw="woman" pos="SUBST">women </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NN2" hw="child" pos="SUBST">children </w>    <w c5="PRP" hw="at" pos="PREP">at </w>    <w c5="NN1" hw="home" pos="SUBST">home </w>    <w c5="VHB" hw="have" pos="VERB">have </w>    <w c5="VVN" hw="stretch" pos="VERB">stretched </w>    <w c5="DPS" hw="we" pos="PRON">our </w>    <w c5="NP0" hw="edinburgh" pos="SUBST">Edinburgh </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NP0" hw="dundee" pos="SUBST">Dundee </w>    <w c5="NN2" hw="team" pos="SUBST">teams </w>    <w c5="PRP" hw="to" pos="PREP">to </w>    <w c5="AT0" hw="the" pos="ART">the </w>    <w c5="NN1" hw="limit" pos="SUBST">limit</w>    <c c5="PUN">.</c>   </s>  </p>
Note the use of the n attribute to carry the original footnote number in the above example.

Bibliographic references

Bibliographic citations or references within running texts may also be marked, using the <bibl> element; this is done in some texts only in the present version of the corpus.

For example:
 <quote>   <p rend="it">    <s n="1943">     <w c5="NN1" hw="zombie" pos="SUBST">Zombie </w>     <w c5="AT0" hw="no" pos="ART">no </w>     <w c5="NN1" hw="go" pos="SUBST">go </w>     <w c5="CJS" hw="unless" pos="CONJ">unless </w>     <w c5="PNP" hw="you" pos="PRON">you </w>     <w c5="VVB" hw="tell" pos="VERB">tell </w>     <w c5="VVB-NN1" hw="im" pos="VERB">im </w>     <w c5="TO0" hw="to" pos="PREP">to </w>     <w c5="VVI" hw="go" pos="VERB">go</w>    </s>    <bibl>     <s n="1944">      <w c5="AT0" hw="the" pos="ART">The </w>      <w c5="NP0" hw="communards" pos="SUBST">Communards</w>      <c c5="PUN">.</c>     </s>    </bibl>   </p>  </quote>

Note that the <bibl> element used within corpus texts has none of the more detailed sub-elements described for it in Structured bibliographic record. Like all the other elements described in the present subsection, the <bibl> element appearing within corpus texts contains only <s> elements.

Phrase-level elements

Phrase-level elements are elements which cannot appear directly within a textual division, but must be contained by some other element. In practice, this means they will be contained within an <s> element. In addition to the <w>, <mw>, and <c> elements already discussed, only the following phrase-level elements appear within <s> elements in written texts:
  • <pb> (page break) marks the boundary between one page of a text and the next in a standard reference system.
    n
    gives the number of the page beginning here
  • <hi> (highlighted) marks a word or phrase as graphically distinct from the surrounding text, for reasons concerning which no claim is made.

Page breaks

Wherever possible, the original pagination and page numbering of the source text has been preserved. The <pb> element is used to mark the approximate position in the text at which each new page starts, and its n attribute supplies the number of the page.
 <l>   <s n="1403">    <c c5="PUN">— </c>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NN2" hw="creditor" pos="SUBST">creditors </w>    <w c5="VVB" hw="grow" pos="VERB">grow </w>    <w c5="AJ0" hw="cruel" pos="ADJ">cruel</w>    <c c5="PUN">,</c>   </s>  </l>  <l>   <pb n="75"/>  </l>  <l>   <s n="1404">    <w c5="AV0" hw="so" pos="ADV">so </w>    <w c5="PNP" hw="he" pos="PRON">he </w>    <w c5="VVZ" hw="bow" pos="VERB">bows </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NN2-VVZ" hw="scrape" pos="SUBST">scrapes</w>    <c c5="PUN">,</c>   </s>  </l>
Where several pages have been left out of a transcription, for example because they are blank or contain illustrations only, a <pb> element may be given for each, as in this example:
 <s n="1323">   <w c5="PNP" hw="i" pos="PRON">I </w>   <w c5="VHB" hw="have" pos="VERB">have</w>   <w c5="XX0" hw="not" pos="ADV">n't </w>   <w c5="VBN" hw="be" pos="VERB">been </w>   <w c5="PRP" hw="to" pos="PREP">to </w>   <w c5="AT0" hw="an" pos="ART">an </w>   <w c5="AJ0" hw="organized" pos="ADJ">organized </w>   <w c5="NN1" hw="campsite" pos="SUBST">campsite </w>   <w c5="PRP" hw="for" pos="PREP">for </w>   <pb n="64"/>   <pb n="65"/>   <pb n="66"/>   <w c5="AV0" hw="perhaps" pos="ADV">perhaps </w>   <w c5="CRD" hw="fifteen" pos="ADJ">fifteen </w>   <w c5="NN2" hw="year" pos="SUBST">years</w>   <c c5="PUN">, </c>   <w c5="AV0" hw="so" pos="ADV">so </w>   <w c5="DT0" hw="all" pos="ADJ">all </w>   <w c5="DT0" hw="this" pos="ADJ">this </w>   <w c5="VBZ" hw="be" pos="VERB">is </w>   <w c5="AJ0" hw="new" pos="ADJ">new </w>   <w c5="PRP" hw="to" pos="PREP">to </w>   <w c5="PNP" hw="i" pos="PRON">me</w>   <c c5="PUN">.</c>  </s>

Highlighted phrases

Typographic changes or highlighting in the original may not be marked in the transcript at all. Alternatively, highlighted phrases, and the kind of highlighting used, may be recorded in one of two ways:
  • using the rend (rendition) attribute on elements for which this is defined
  • using the <hi> (highlighted) element

The former is used where the whole of the content of one of the elements <bibl>, <corr>, <div>, <head>, <item>, <l>, <label>, <list>, <p>, <quote> or <stage>function is highlighted. The latter is used on all other occasions. The values available for the rend attribute in either case and their significance are as listed above in either case.

It should be noted that the purpose of the rend attribute is not to provide information adequate to the needs of a typesetter, but simply to record some qualitative information about the original.

Like all other phrase-level elements, each <hi> element must be entirely contained by an <s> element. This implies that where, for example, a bolded passage contains more than one sentence, or an italicised phrase begins in one verse line and ends in another, the <hi> element must be closed at the end of the enclosing element, and then re-opened within the next.

For example, in the following four lines of verse, the first three are rendered in italics, and the rend attribute is therefore specified for each <l> element. In the fourth line, only the first few words are in italics: a <hi> element must be used within the <l> to carry this information.
 <l rend="it">   <s n="394">    <w c5="PNP" hw="it" pos="PRON">It </w>    <w c5="VBD" hw="be" pos="VERB">was </w>    <w c5="CRD" hw="one" pos="ADJ">one </w>    <w c5="PRF" hw="of" pos="PREP">of </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="NN0" hw="pair" pos="SUBST">pair</w>    <c c5="PUN">.</c>   </s>   <s n="395">    <w c5="DPS" hw="it" pos="PRON">Its </w>    <w c5="AJ0" hw="precious" pos="ADJ">precious </w>    <w c5="NN1" hw="twin" pos="SUBST">twin</w>   </s>  </l>  <l rend="it">   <s n="396">    <w c5="VBD" hw="be" pos="VERB">was </w>    <w c5="VVN" hw="steal" pos="VERB">stolen </w>    <w c5="PRP" hw="by" pos="PREP">by </w>    <w c5="AT0" hw="the" pos="ART">the </w>    <w c5="NN2" hw="soldier" pos="SUBST">soldiers</w>    <c c5="PUN">.</c>   </s>   <s n="397">    <w c5="DT0" hw="all" pos="ADJ">All </w>    <w c5="AT0" hw="the" pos="ART">the </w>    <w c5="NN1" hw="time" pos="SUBST">time</w>   </s>  </l>  <l rend="it">   <s n="398">    <w c5="DPS" hw="she" pos="PRON">her </w>    <w c5="NN1" hw="uncle" pos="SUBST">uncle </w>    <w c5="VVD" hw="stand" pos="VERB">stood </w>    <w c5="AV0" hw="there" pos="ADV">there </w>    <w c5="VVG" hw="clutch" pos="VERB">clutching </w>    <w c5="DT0" hw="this" pos="ADJ">this </w>    <w c5="PNI" hw="one" pos="PRON">one </w>    <w c5="AVP-PRP" hw="in" pos="ADV">in</w>   </s>  </l>  <l>   <s n="399">    <hi rend="it">     <w c5="DPS" hw="he" pos="PRON">his </w>     <w c5="AJ0" hw="big" pos="ADJ">big </w>     <w c5="NN1" hw="fist" pos="SUBST">fist </w>    </hi>    <c c5="PUN">— </c>    <w c5="AV0" hw="so" pos="ADV">so</w>    <c c5="PUN">!</c>   </s>   <s n="400">    <w c5="PNP" hw="she" pos="PRON">She </w>    <w c5="VDZ" hw="do" pos="VERB">does </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="AJ0" hw="little" pos="ADJ">little </w>    <w c5="NN1" hw="mime" pos="SUBST">mime</w>    <c c5="PUN">.</c>   </s>  </l>

Spoken texts

Basic structure: spoken texts

The spoken material transcribed for the BNC is also organized into ‘texts’, which are subdivided into ‘divisions’, made up of <w> and <mw> elements grouped into <s> elements in the same way as written texts. However there a number of other elements specific to spoken texts, and their hierarchic organization is naturally not the same as that of written texts. For this reason, a different element (<stext>) is used to represent a spoken text.

In demographically sampled spoken texts, each distinct conversation recorded by a given respondent is treated as a distinct <div> element. All the conversations from a single respondent are then grouped together to form a single <stext> element.

Context-governed spoken texts do not use the <div> element; each <stext> element containing a context-governed spoken text consists of a sequence of <u> elements again interspersed with a variety of empty elements used to indicate para-linguistic phenomena noticed by the transcribers.

The <s> elements making up a spoken text are grouped not into <p> or other similar elements, but instead into <u> elements. Each <u> (utterance) element marks a stretch of uninterrupted speech from a given speaker; (see section Utterances), interspersed within and between it a variety of empty elements are used to indicate para-linguistic phenomena noticed by the transcribers (see section Paralinguistic phenomena).

The methods and principles applied in transcription and normalisation of speech are discussed in TGCW21 Spoken Corpus Transcription Guide and summarised in the appropriate part of the corpus header. The editorial tags discussed in section Editorial indications above are also used to represent normalisation practice when dealing with transcribed speech.

Utterances

The term utterance is used in the BNC to refer to a continuous stretch of speech produced by one participant in a conversation, or by a group of participants. Structurally, the corresponding element behaves in a similar way to the <p> element in a written text — it groups a sequence of <s> elements together.
  • <u> (utterance) a stretch of speech usually preceded and followed by silence or by a change of speaker.
The who attribute is required on every <u>: its function is to identify the person or group of people making the utterance, using the unique code defined for that person in the appropriate section of the header (see section The <langUsage> element). A simple example follows:
 <u who="PS1LW">   <s n="159">    <w c5="ITJ" hw="mm" pos="INTERJ">Mm </w>    <w c5="ITJ" hw="mm" pos="INTERJ">mm</w>    <c c5="PUN">.</c>   </s>  </u>
The code PS1LW used here will be specified as the value for the xml:id attribute of some <person> element within the header of the text from which this example is taken. A code ending PS000, PSUNK, or PS001 is used where the speaker cannot be identified, prefixed by the identifier for the text. Where there are several distinct, but unidentified, speakers within the same text, distinct identifiers are used.

Paralinguistic phenomena

In transcribing spoken language, it is necessary to select from the possibly very large set of distinct paralinguistic phenomena which might be of interest. In the texts transcribed for the BNC, encoders were instructed to mark the following such phenomena:
voice quality
for example, whispering, laughing, etc., both as discrete events and as changes in voice quality affecting passages within an utterance.
non-verbal but vocalised sounds
for example, coughs, humming noises etc.
non-verbal and non-vocal events
for example passing lorries, animal noises, and other matters considered worthy of note.
significant pauses
silence, within or between utterances, longer than was judged normal for the speaker or speakers.
unclear passages
whole utterances or passages within them which were inaudible or incomprehensible for a variety of reasons.
speech management phenomena
for example truncation, false starts, and correction.
overlap
points at which more than one speaker was active.
Other aspects of spoken texts are not explicitly recorded in the encoding, although their headers contain considerable amounts of situational and participant information.

In many cases, because no standardized set of descriptions was predefined, transcribers gave very widely differing accounts of the same phenomena. An attempt has however been made to normalize the descriptions for some of these elements in the BNC XML editions.

The elements used to mark these phenomena are listed below in alphabetical order:
  • <event> (Event) any phenomenon or occurrence, not necessarily vocalized or communicative, for example incidental noises or other events affecting communication.
    desc
    provides a brief description of the event
    dur
    (duration) indicates the duration of the element in minutes.
  • <pause> a pause either between or within utterances.
  • <shift> (Shift) marks the point at which some paralinguistic feature of a series of utterances by any one speaker changes.
    new
    specifies the new state of the paralinguistic feature specified.
  • <trunc> contains one or more truncated words in transcribed speech.
  • <unclear> contains a word, phrase, or passage which cannot be transcribed with certainty because it is illegible or inaudible in the source.
  • <vocal> (Vocalized semi-lexical) any vocalized but not necessarily lexical phenomenon, for example voiced pauses, non-lexical backchannels, etc.
    desc
    provides a brief description of the vocal event
    dur
    (duration) indicates the duration of the element in minutes.
    who
    indicates the person, or group of people, to whom the element content is ascribed.

The value of the dur attribute is normally specified only if it is greater than 5 seconds, and its accuracy is only approximate.

With the exception of the <trunc> element, which is a special case of the editorial tags discussed in section Editorial indications above, all of these elements are empty, and may appear anywhere within a transcription.

The following example shows an event, several pauses and a patch of unclear speech:
 <s n="5490">   <event desc="radio on"/>   <pause dur="34"/>   <w c5="PNP" hw="you" pos="PRON">You </w>   <w c5="VVN" hw="get" pos="VERB">got</w>   <w c5="TO0" hw="ta" pos="PREP">ta </w>   <unclear/>   <w c5="NN1" hw="radio" pos="SUBST">Radio </w>   <w c5="CRD" hw="two" pos="ADJ">Two </w>   <w c5="PRP" hw="with" pos="PREP">with </w>   <w c5="DT0" hw="that" pos="ADJ">that</w>   <c c5="PUN">.</c>  </s>  <s n="5491">   <pause dur="6"/>   <w c5="AJ0" hw="bloody" pos="ADJ">Bloody   </w>   <w c5="NN1" hw="pirate" pos="SUBST">pirate </w>   <w c5="NN1" hw="station" pos="SUBST">station </w>   <w c5="VM0" hw="would" pos="VERB">would</w>   <w c5="XX0" hw="not" pos="ADV">n't </w>   <w c5="PNP" hw="you" pos="PRON">you</w>   <c c5="PUN">?</c>  </s>
Where the whole of an utterance is unclear, that is, where no speech has actually been transcribed, the <unclear> element is used on its own, with an optional who attribute to indicate who is speaking, if this is identifiable. For example:
 <u who="xx">   <s>....</s>  </u>  <unclear who="yy"/>  <u who="xx">   <s>... </s>  </u>
Here YY's remarks, whatever they are, are too unclear to be transcribed, and so no <u> element is provided.
The values used for the desc attribute of the <event> element are not constrained in the current version of the corpus, and more than a thousand different values exist in the corpus. Some common examples follow:
 <event desc="laughter"/>  <event desc="telephone noise"/>
A list of the most frequent values is given in Event descriptions.
As noted above, a distinction is made between discrete vocal events, such as laughter, and changes in voice quality, such as words which are spoken in a laughing tone. The former are encoded using the <vocal> element, as in the following example:
 <u who="PS09T">   <s n="4307">    <vocal desc="laugh"/>    <c c5="PUN">, </c>    <w c5="PNP" hw="you" pos="PRON">you</w>    <w c5="VM0" hw="will" pos="VERB">'ll </w>    <w c5="VHI" hw="have" pos="VERB">have </w>    <w c5="TO0" hw="to" pos="PREP">to </w>    <w c5="VVI" hw="take" pos="VERB">take </w>    <w c5="DT0-CJT" hw="that" pos="ADJ">that </w>    <w c5="AVP-PRP" hw="off" pos="ADV">off </w>    <w c5="AV0" hw="there" pos="ADV">there </w>    <vocal desc="laugh"/>    <w c5="ITJ" hw="yeah" pos="INTERJ">yeah </w>    <w c5="PNP" hw="you" pos="PRON">you </w>    <w c5="VM0" hw="can" pos="VERB">can </w>    <pause/>    <vocal desc="laugh"/>    <pause/>   </s>  </u>
The <shift> element is used instead where the laughter indicates a change in voice quality, as in the following example:
 <u who="PS01V">   <s n="4188">    <w c5="CJC" hw="and" pos="CONJ">And </w>    <w c5="UNC" hw="erm" pos="UNC">erm </w>    <pause/>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="AV0" hw="then" pos="ADV">then </w>    <w c5="PNP" hw="we" pos="PRON">we </w>    <w c5="VVD" hw="go" pos="VERB">went </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="VVD" hw="get" pos="VERB">got </w>    <w c5="DPS" hw="i" pos="PRON">my </w>    <w c5="NN0" hw="fruit" pos="SUBST">fruit </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NN1" hw="veg" pos="SUBST">veg </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="AV0" hw="then" pos="ADV">then </w>    <w c5="PNP" hw="we" pos="PRON">we </w>    <w c5="VVD" hw="go" pos="VERB">went </w>    <w c5="PRP" hw="in" pos="PREP">in </w>    <w c5="AJ0-NN1" hw="top" pos="ADJ">Top </w>    <w c5="NP0" hw="marks" pos="SUBST">Marks </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="VVD" hw="get" pos="VERB">got </w>    <w c5="PNP" hw="they" pos="PRON">them </w>    <shift new="laughing"/>    <w c5="AV0" hw="so" pos="ADV">so </w>    <w c5="PNP" hw="we" pos="PRON">we </w>    <w c5="AV0" hw="never" pos="ADV">never </w>    <w c5="VVD" hw="get" pos="VERB">got </w>    <shift/>    <w c5="PNP" hw="we" pos="PRON">we </w>    <w c5="VVD" hw="go" pos="VERB">went </w>    <w c5="AVP" hw="through" pos="ADV">through </w>    <w c5="PRP" hw="for" pos="PREP">for </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="NN1" hw="video" pos="SUBST">video </w>    <w c5="AV0" hw="really" pos="ADV">really</w>    <c c5="PUN">, </c>    <w c5="AV0" hw="never" pos="ADV">never </w>    <w c5="VVN-VVD" hw="get" pos="VERB">got </w>    <w c5="AVP" hw="round" pos="ADV">round </w>    <w c5="PRP" hw="to" pos="PREP">to </w>    <w c5="VVG" hw="look" pos="VERB">looking </w>    <w c5="PRP" hw="for" pos="PREP">for </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="NN1" hw="video" pos="SUBST">video </w>    <w c5="VDD" hw="do" pos="VERB">did </w>    <w c5="PNP" hw="we" pos="PRON">we</w>    <c c5="PUN">?</c>   </s>  </u>

Here the passage between the tags <shift new=laughing> and <shift> is spoken with a laughing intonation.

A list of values currently used for the new attribute is given below in section Voice quality codes.

Alignment of overlapping speech

By default it is assumed that the events represented in a transcription are non-overlapping and that they are transcribed in temporal sequence. That is, unless otherwise specified, it is implied that the end of one utterance precedes the start of the next following it in the text, perhaps with an interposed <pause> element. Where this is not the case, the following element is used:
  • <align> marks an temporal alignment point within transcribed speech

The with attribute of an <align> element may be thought of as identifying some point in time. Where two or more <align> elements specify the same value for this attribute, their locations are assumed to be synchronised.

The following example demonstrates how this mechanism is used to indicate that one speaker's attempt to take the floor has been unsuccessful:
 <u who="PS6U5">   <s n="485">    <w c5="AJ0" hw="poor" pos="ADJ">Poor </w>    <w c5="AJ0" hw="old" pos="ADJ">old </w>    <w c5="NP0" hw="luxembourg" pos="SUBST">Luxembourg</w>    <w c5="VHZ" hw="have" pos="VERB">'s </w>    <w c5="VVN-AJ0" hw="beat" pos="VERB">beaten</w>    <c c5="PUN">.</c>   </s>   <s n="486">    <w c5="PNP" hw="you" pos="PRON">You </w>    <w c5="PNP" hw="you" pos="PRON">you</w>    <w c5="VHB" hw="have" pos="VERB">'ve </w>    <w c5="PNP" hw="you" pos="PRON">you</w>    <w c5="VHB" hw="have" pos="VERB">'ve </w>    <w c5="AV0" hw="absolutely" pos="ADV">absolutely </w>    <w c5="AV0" hw="just" pos="ADV">just </w>    <w c5="VVN" hw="go" pos="VERB">gone </w>    <w c5="AV0-AJ0" hw="straight" pos="ADV">straight </w>    <align with="KNYLC01D"/>    <w c5="PRP" hw="over" pos="PREP">over </w>    <w c5="PNP" hw="it" pos="PRON">it </w>    <align with="KNYLC01E"/>   </s>  </u>  <u who="PS4YX">   <s n="487">    <align with="KNYLC01D"/>    <w c5="PNP" hw="i" pos="PRON">I </w>    <w c5="VHB" hw="have" pos="VERB">have</w>    <w c5="XX0" hw="not" pos="ADV">n't</w>    <c c5="PUN">.</c>   </s>  </u>  <u who="PS6U5">   <s n="488">    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="VVN" hw="forget" pos="VERB">forgotten </w>    <w c5="AT0" hw="the" pos="ART">the </w>    <w c5="AJ0" hw="poor" pos="ADJ">poor </w>    <w c5="AJ0" hw="little" pos="ADJ">little </w>    <w c5="NN1" hw="country" pos="SUBST">country</w>    <c c5="PUN">.</c>   </s>  </u>
This encoding is the CDIF equivalent of what might be presented in a conventional playscript as follows:
W0001: Poor old Luxembourg's beaten. You, you've, you've absolutely just gone straight over it -- W0014: (interrupting) I haven't. W0001: (at the same time) and forgotten the poor little country.

The header

The header of a TEI-conformant text provides a structured description of its contents, analogous to the title page and front matter of a book. The component elements of a TEI header are intended to provide in machine-processable form all the information needed to make sensible use of the Corpus.

Every separate text in the British National Corpus (i.e. each <bncDoc> element) has its own header, referred to below as a text header. In addition, the corpus itself has a header, referred to below as the corpus header, containing information which is applicable to the whole corpus, possibly with some local over-riding, as described in section. Both corpus and text headers are represented by <teiHeader> elements.

In the remainder of this section, we describe the components of the <teiHeader> element, as used within the BNC. A TEI header contains a file description (section The file description ), an encoding description (section The encoding description), a profile description (section The profile description ) and a revision description (section The revision description), represented by the following four elements:
  • <fileDesc> (File Description) contains a full bibliographic description of an electronic file.
  • <encodingDesc> (Encoding description) documents the relationship between an electronic text and the source or sources from which it was derived.
  • <profileDesc> (text-profile description) provides a detailed description of non-bibliographic aspects of a text, specifically the languages and sublanguages used, the situation in which it was produced, the participants and their setting.
  • <revisionDesc> (revision description) summarizes the revision history for a file.

The file description

The file description (<fileDesc>) is the first of the four main constituents of the header. It is intended to document an electronic file i.e. (in the case of a corpus header) the whole corpus, or (in the case of a text header) any characteristics peculiar to an individual file within it. In each case, it contains the following five subdivisions:
  • <titleStmt> (title statement) groups information about the title of a work and those responsible for its intellectual content.
  • <editionStmt> (edition statement) groups information relating to one edition of a text.
  • <extent> specifies the approximate size of the text, in orthographic words, w elements, and s elements
  • <publicationStmt> (publication statement) groups information concerning the publication or distribution of an electronic or other text.
  • <sourceDesc> supplies a description of the source text(s) from which an electronic text was derived or generated.

Further detail for each of these is given in the following subsections.

The title statement

The title statement (<titleStmt>) element of a BNC text contains one or more <title> elements, optionally followed by <author>, <editor>, or <respStmt> elements. These sub-elements are used throughout the header, wherever the title of a work or a statement of responsibility are required.

For the corpus header, the title statement looks like this:
 <titleStmt>   <title>The British National Corpus: XML Edition</title>   <respStmt>    <resp>Lead partner in consortium</resp>    <name>Oxford University Press</name>   </respStmt>   <respStmt>    <resp>Text selection for miscellaneous and unpublished written materials</resp>    <name>W R Chambers</name>    <resp>Text selection, data capture and transcription for spoken texts and for 14% of    published written texts</resp>    <name>Longman ELT</name>    <resp>Text selection for 86% published written texts</resp>    <name>Oxford University Press</name>    <resp>Data capture and transcription for all miscellaneous and unpublished written    texts and for 86% of published written texts</resp>    <name>Oxford University Press</name>   </respStmt>   <respStmt>    <resp>XML conversion, encoding, storage and distribution</resp>    <name>Oxford University Computing Services</name>   </respStmt>   <respStmt>    <resp>Text enrichment</resp>    <name>Unit for Computer Research into the English Language,    University of Lancaster</name>   </respStmt>  </titleStmt>
In individual corpus texts, the title statement follows a pattern like the following:
 <titleStmt>   <title> The National Trust Magazine. Sample containing   about 21015 words from a periodical (domain: arts)   </title>   <respStmt>    <resp> Data capture and transcription </resp>    <name>    Oxford University Press </name>   </respStmt>  </titleStmt>

The content of the <title> element includes the title of the source, followed by the phrase "Sample containing about", the approximate word count for the sample, and further information about the text type and domain, all extracted from other parts of the header. This is followed by responsibility statements showing which of the BNC Consortium members was responsible for capturing the text originally.

Here are some typical examples:
 <title> How we won the open: the caddies' stories. Sample containing  about 36083 words from a book (domain: leisure) </title> <!-- ASA-->  <title> Harlow Women's Institute committee meeting.   Sample containing about 246 words speech recorded   in public context</title>  <title> The Scotsman: Arts section. Sample containing   about 48246 words from a periodical (domain: arts)  </title>  <title>32 conversations recorded by `Frank' (PS09E)   between 21 and 28 February 1992 with 9 interlocutors,   totalling 3193 s-units, 20607 words, and 3 hours   22 minutes 23 seconds of recordings.</title>  <title>[Leaflets advertising goods and   products]. Sample containing about 23409 words   of miscellanea (domain: commerce)</title>
A <respStmt> element is used to indicate each agency responsible for any significant effort in the creation of the text. Since responsibilities for data encoding and storage, and for enrichment, are the same for all texts, they are not repeated in each text header. The responsibility for original data capture and transcription varies text by text, and is therefore stated in each text header, in the following manner:
 <respStmt>   <resp>   Data capture and transcription   </resp>   <name>   Longman ELT   </name>  </respStmt>

Author and editor information for the source from which a text is derived (e.g. the author of a book) is not included in the <filedesc> element but in the <sourceDesc> element discussed below (The source description ).

The edition statement

The <editionStmt> element is used to specify an edition for each file making up the corpus. It takes the same form in both the corpus header and individual text headers:
 <editionStmt>   <edition>BNC XML Edition, January 2007</edition>  </editionStmt>

The extent statement

The <extent> element is used in each text header to specify the size of the text to which it is attached, as in the following example:
 <extent> 21015 tokens; 21247 w-units; 957 s-units </extent>
These counts do not include the size of the header itself. The number of ‘tokens’ is generated by the Unix wc utility, which simply counts blank delimited strings; the other figures give the number of <w> and <s> elements respectively.

The publication statement

The <publicationStmt> element is used to specify publication and availability information for an electronic text. It contains the following three elements:
  • <distributor> supplies the name of a person or other agency responsible for the distribution of a text.
  • <availability> supplies information about the availability of a text, for example any restrictions on its use or distribution, its copyright status, etc.
  • <idno> (identifying number) supplies an identifying code for a text.
    type
    categorizes the code number used.
    (In addition to global attributes and those inherited from [model.biblPart ] )
Individual text headers contains the following fixed text for the first two of these:
 <publicationStmt>   <distributor>Distributed under licence by Oxford University Computing   Services on behalf of the BNC Consortium.</distributor>   <availability> This material is protected by international copyright laws and may not be copied or redistributed in any way. Consult the BNC Web Site at http://www.natcorp.ox.ac.uk for full licencing and distribution conditions.</availability>  </publicationStmt>
For contractual reasons, the corpus header includes a somewhat longer rehearsal of the terms and conditions under which the BNC is made available; this is reproduced in section The BNC corpus header below.
For individual text headers, two identification numbers are supplied, distinguished by the value of their type attribute.
 <idno type="bnc">A0A</idno>  <idno type="old">CAMfct</idno>

The second identifier (of type old) is the old-style mnemonic or numeric code attached to BNC texts in early releases of the corpus, and used to label original printed source materials in the BNC Archive. The first three character code (of type bnc) is the standard BNC identifier. It is also used both for the filename in which the text is stored and as the value supplied for the xml:id attribute on the <bncDoc> element containing the whole text, and should always be used to cite the text.

The source description

The <sourceDesc> element is used to supply bibliographic details for the original source material from which an electronic text derives. In the case of a BNC text, this might be a book, pamphlet, newspaper etc., or a recording. One of the following elements available within the <sourceDesc> will be used, as appropriate:
  • <recordingStmt> (recording statement) describes a set of recordings used in transcription of a spoken text.
  • <bibl> (bibliographic citation) contains any bibliographic reference, occurring either within the header of a written corpus text in which case it has a fixed substructure, or within the body of a corpus text, in which case it contains only s elements.

These elements are not used within the corpus header, which simply contains a note about the sources from which the corpus was derived, tagged as a <para> (paragraph). The headers of individual texts each contain one of the above elements to specify their source.

Context-governed spoken texts derived from broadcast or similar ‘published’ material may have either a recording statement or a bibliographic record as their source.

All bibliographic data supplied in the individual text headers is collected together and reproduced in section ?? below.

The recording statement
The recording statement (<recordingStmt>) element contains one or more <recording> elements:
  • <recording> (recording event) details of an audio or video recording event used as the source of a spoken text, either directly or from a public broadcast.
    n
    tape number.
    date
    date of the recording in standardized form.
    time
    time of day the recording was made.
    type
    kind of recording.
    dur
    duration of the recording in minutes.

The value of the n attribute here provides the number of the audio tape holding the original recording, as deposited with the British Library's Sound Archive in London.

In the following simple example, typical of most of the ‘context-governed’ parts of the BNC, the <recording> element has no content at all:
 <recordingStmt>   <recording     n="121101"     date="1994-02-09"     time="11:00"     type="DAT"/>  </recordingStmt>
When, as is often the case for the spoken demographic parts of the BNC, a text has been made up by transcribing several different recordings made by a single respondent over a period of time, each such recording will have its own <recording> element, as in the following example:
 <recordingStmt>   <recording     n="018201"     dur="322"     date="1991-11-28"     time="18:15+"     type="Walkman"     xml:id="KB7RE000"/>   <recording     n="018202"     dur="253"     date="1991-11-28"     time="18:15+"     type="Walkman"     xml:id="KB7RE001"/> <!-- ... -->   <recording     n="018207"     dur="630"     date="1991-11-29"     time="10:15+"     type="Walkman"     xml:id="KB7RE006"/>   <recording     n="018301"     dur="75"     date="1991-11-29"     time="12:15+"     type="Walkman"     xml:id="KB7RE007"/> <!-- ... -->  </recordingStmt>
Note the presence of an xml:id attribute on each of the above recordings. The value given here is used to indicate the recording from which a given part of the text was transcribed. Each recording is transcribed as a distinct <div> (division) element within an <stext>. In that element, the identifier of the source recording is supplied as the value of a decls attribute. Thus, in the spoken text derived from the above mentioned recordings, there will be a <div> element starting as follows:
 <div decls="KB7RE0077">  ...</div>
which will contain the part of text transcribed from that recording. As noted above the identifier supplied on the n attribute is quite distinct, and identifies the tape on which the original recording was made, and by which it is referenced in the British Library's Sound Archive.
Structured bibliographic record
In addition to its usage within the corpus texts (see Bibliographic references), the <bibl> element is also used to record bibliographic information for each non-spoken component of the BNC. In this case, its structure is constrained to contain only the following elements in the order specified:
  • <title> contains the full title of a work of any kind.
    level
    indicates the bibliographic level of this title Values are:
    a
    the title is an analytic title, rather than a monographic one
    (In addition to global attributes)
  • <editor> (editor) secondary statement of responsibility for a bibliographic item, for example the name of an individual, institution or organization, (or of several such) acting as editor, compiler, translator, etc.
    n
    supplies a number for the editor where multiple editors are specified for a single text
    (In addition to global attributes)
  • <author> in a bibliographic reference, contains the name of the author(s), personal or corporate, of a work; the primary statement of responsibility for any bibliographic item.
    domicile
    main country of residence where known
    n
    internal identifier
    born
    year of birth where known
    (In addition to global attributes)
  • <imprint> groups information relating to the publication or distribution of a bibliographic item.
    n
    internal identifier
    (In addition to global attributes)
  • <pp> supplies page numbers for a bibliographic citation.

During production of the BNC, the n attribute was used with both <author> and <imprint> elements to supply a six-letter code identifying the author or imprint concerned. The values used should be unique across the corpus, but this is not validated in the current release of the DTD.

The <imprint> element is supplied for published texts only and contains the following elements in the order given:
  • <pubPlace> contains the name of the place where a bibliographic item was published.
  • <publisher> provides the name of the organization responsible for the publication or distribution of a bibliographic item.
  • <date> contains a date in any format.
    value
    supplies a standardized representation of the date
    (In addition to global attributes)
The following example demonstrates how these elements are used to record bibliographic details for a typical book:
 <biblStruct>   <monogr>    <title>It might have been Jerusalem. </title>    <author n="HealyT1" domicile="Scotland">Healy, Thomas</author>    <imprint n="POLYGO1">     <publisher>Polygon Books</publisher>     <pubPlace>Edinburgh</pubPlace>     <date value="1991">1991</date>    </imprint>    <biblScope type="pp">1-81</biblScope>   </monogr>  </biblStruct>
The following example is typical of the case where a collection of leaflets or newsletters has been treated as a single text:
 <biblStruct>   <monogr>    <title>[Potato Marketing Board leaflets]</title>    <imprint n="POTATO1">     <publisher>Potato Marketing Board</publisher>     <pubPlace>London</pubPlace>     <date value="1991">1991</date>    </imprint>   </monogr>  </biblStruct>
Occasionally, a bibliographic item has two titles, for example a series title as well as an individual title, or multiple authors. In the BNC such cases are treated simply by repeating the element concerned, sometimes using the level attribute to distinguish the bibliographic ‘level’ of the title:
 <bibl>   <title level="a">Damages on death</title>   <author n="SauntT1">Saunt, Thomas</author>   <editor>Kemp, David</editor>   <title>Damages for personal injury and death</title>   <edition> (5th edition). </edition>   <imprint n="LONGMA1">    <publisher>Longman Group UK Ltd</publisher>    <pubPlace>Harlow</pubPlace>    <date value="1993">1993</date>   </imprint>   <pp>52-68</pp>  </bibl>

Where ‘series’ information is available for a given title, this is not normally tagged distinctly. Instead the series title is given as part of the monographic title, usually preceded by a colon.

This level of bibliographic description has not been carried out with complete consistency across the current release of the corpus.

The encoding description

The second major component of the TEI header is the encoding description (<encodingDesc>). This contains information about the relationship between an encoded text and its original source and describes the editorial and other principles employed throughout the corpus. It also contains reference information used throughout the corpus.

The BNC <encodingDesc> element has the following six components:
  • <projectDesc> (project description) describes in detail the aim or purpose for which an electronic file was encoded, together with any other relevant information concerning the process by which it was assembled or collected.
  • <samplingDecl> (sampling declaration) contains a prose description of the rationale and methods used in sampling texts in the creation of a corpus or collection.
  • <editorialDecl> (editorial practice declaration) provides details of editorial principles and practices applied during the encoding of a text.
  • <tagsDecl> (tagging declaration) provides information about the XML elements actually used within a BNC text
  • <refsDecl> (references declaration) provides documentation for the reference system applicable to the corpus.
  • <classDecl> (classification declarations) contains one or more taxonomies defining any classificatory codes used elsewhere in the text.
  • <xairaSpecification> specifies additional information needed by xaira.

In the BNC, one of each of these elements appears in the corpus header. Only the <tagsDecl> element appears in the individual text headers.

Documentary components of the encoding description

The <projectDesc> element for the corpus gives a brief description of the goals, organization and results of the BNC project. The <samplingDecl>, <editorialDecl> and <refsDecl> elements similarly supply brief prose descriptions It is reproduced in section The BNC corpus header below.

The tagging declaration

The tagging declaration (<tagsDecl>) element is used slightly differently in corpus and in text headers. In the corpus header, it is used to list every element name actually used within the corpus, together with a brief description of its function. In text headers, it is used to specify the number of elements actually tagged within each text. In either case it consists of a <namespace> element, containing a number of <tagUsage> elements, defined as follows:
  • <namespace> supplies the formal name of the namespace to which the elements documented by its children belong.
    name
    the full formal name of the namespace concerned.
    (In addition to global attributes)
  • <tagUsage> (tagUsage) supplies information about the usage of a specific element within a text.
    gi
    the name (generic identifier) of the element indicated by the tag.
    occurs
    specifies the number of occurrences of this element within the text.
In the corpus header, each <tagUsage> element contains a brief description of the element specified by its <gi> element; the occurs attribute is not supplied, as in the following extract:
 <tagUsage gi="event">  Non-verbal event in spoken text  </tagUsage>  <tagUsage gi="gap">  Point where source material has omitted  </tagUsage>  <tagUsage gi="head">  Header or headline in written text  </tagUsage>
.
In text headers, the <tagUsage> elements are empty, but the occurs attribute is always supplied, and indicates the number of such elements which appear within the text, as in the following example, taken from a typical written text:
 <tagsDecl>   <namespace name="">    <tagUsage gi="c" occurs="5750"/>    <tagUsage gi="corr" occurs="1"/>    <tagUsage gi="div" occurs="115"/>    <tagUsage gi="gap" occurs="3"/>    <tagUsage gi="head" occurs="156"/>    <tagUsage gi="hi" occurs="147"/>    <tagUsage gi="l" occurs="2"/>    <tagUsage gi="lg" occurs="1"/>    <tagUsage gi="mw" occurs="256"/>    <tagUsage gi="p" occurs="680"/>    <tagUsage gi="quote" occurs="3"/>    <tagUsage gi="s" occurs="2415"/>    <tagUsage gi="w" occurs="41799"/>   </namespace>  </tagsDecl>

The reference and classification declarations

The <refsDecl> element for the corpus header defines the approved format for references to the corpus. It takes the following form
 <refsDecl>   <para>Canonical references in the British National Corpus   are to text segment (<s>) elements, and   are constructed by taking the value of the n attribute   of the <cdif> element containing the target text,   and concatenating a dot separator, followed by the value   of the n attribute of the target <s> element.   </para>  </refsDecl>
The standard TEI <classDecl> element is used in the BNC Corpus Header to formally define several text classication schemes which are used in the corpus. Each scheme or taxonomy defines a number of code/description pairs, applicable to a text in the corpus. For example, the written domain taxonomy defines twelve subject domains ("Imagination", "Informative: natural science", "Informative: applied science" etc.) and each written text is assigned to one of them. Each taxonomy is defined in the corpus header, using the following elements:
  • <taxonomy> (taxonomy) defines a typology used to classify texts either implicitly, by means of a bibliographic citation, or explicitly by a structured taxonomy.
  • <desc> (description) supplies explanatory text associated with a category or other component defined in the corpus header
  • <category> (category) defines a single category within a taxonomy of texts.
  • <bibl> (bibliographic citation) contains any bibliographic reference, occurring either within the header of a written corpus text in which case it has a fixed substructure, or within the body of a corpus text, in which case it contains only s elements.
Here, for example, is the start of the <taxonomy> element defining the Written domain classification system as it appears in the corpus header:
 <taxonomy xml:id="WRIDOM">   <desc>Written Domain</desc>   <category xml:id="WRIDOM1">    <catDesc>Imaginative</catDesc>   </category>   <category xml:id="WRIDOM2">    <catDesc>Informative: natural & pure science</catDesc>   </category>   <category xml:id="WRIDOM3">    <catDesc>Informative: applied science</catDesc>   </category>  ...  </taxonomy>
The classification categories applicable to a given text are specified by the <catRef> element within the associated text header, as described below. Its target lists the identifiers of all <category> elements applicable to that text. For example, the header of a written text assigned to the social science domain which has a corporate author will include a <catRef> element like the following:
 <catRef target="... WRIATY1 WRIDOM4..."/>
(The dots above represent the identifiers of all other category codes applicable to this text).

A full list of all category codes, and the numbers of texts so classified in the current release of the corpus is provided in section Text and genre classification codes.

Further information about the classification and categorization of an individual texts is provided within the <textClass> element discussed below (Text classification )

The Xaira Specification

The Xaira Specification element is used by the XAIRA indexing software to index the BNC. Its components are not further described here; for further information, consult the Xaira documentation available from http://www.xaira.org.

The profile description

The third component of a TEI header is the profile description. In the BNC this is used to provide the following elements:
  • <creation> contains information about the creation of a text.
    date
    supplies the year of original composition, if known; or 000-00-00 if the date is unknown.
    (In addition to global attributes)
  • <particDesc> (participation description) describes the identifiable speakers, voices, or other participants in a linguistic interaction.
    n
    internal identifier
    (In addition to global attributes and those inherited from [att.declarable ] )
  • <settingDesc> (setting description) describes the setting or settings within which a language interaction takes place, either as a prose description or as a series of setting elements.
  • <langUsage> (language usage) describes the languages, sublanguages, registers, dialects etc. represented within a text.
  • <textClass> (text classification) groups information which describes the nature or topic of a text in terms of a standard classification scheme, thesaurus, etc.

The creation element

This element is provided to record the date of first publication of individual published texts, and any details concerning the origination of any spoken or written texts, whether or not covered elsewhere. It is supplied in every text header, although the details provided vary. As a minimum, a date (tagged with the standard <date> element) will be included; this gives the date the content of this text was first created. For a spoken text, this will be the same as the date of the recording; for a written text, it will normally be the date of first publication.

Here are two typical examples:
 <creation>   <date>1992-02-11</date>:  </creation>  <creation>   <date>1971</date>: originally published by Jonathan Cape.  </creation>

For imaginative works, the creation date is also the date used to classify the text (by means of the WRITIM category). For other written works, such as textbooks, which are likely to have been extensively revised since their first publication, the date used to classify the text will be that of the edition described in the <sourceDesc>, but the original date will also be recorded within the <creation> element.

The <langUsage> element

Unlike the other elements of the profile description, the language usage element occurs only in the corpus header. It contains the following text:
 <langUsage>  The language of the British National Corpus is modern  British English. Words, fragments, and passages from many  other languages, both ancient and modern, occur within the  corpus where these may be represented using a Latin  alphabet. Long passages in these languages, and material  in other languages, are generally silently deleted. In no  case is the lang attribute used to indicate the language  of a word, phrase or passage, nor are alternate writing  system definitions used.  </langUsage>

The participant description

The participant description (<particDesc>) element is used to provide information about speakers of texts transcribed for the BNC. It appears only within individual spoken text headers to define the participants specific to those texts.

It contains a series of <person> elements describing the participants whose speech is transcribed in this text.

The person element
Each <person> element describes a single participant in a language interaction. It carries a number of attributes which are used to provide encoded values for some key aspects of the person concerned:
  • <person> provides information about an identifiable individual, for example a participant in a language interaction, or a person referred to in a historical source.
    ageGroup
    specifies the age group to which the participant belongs.
    dialect
    specifies the dialect or accent of a participant's speech, as identified by the respondent.
    firstLang
    specifies the country of origin of the participant, as identified by the respondent.
    n
    internal identifier
    educ
    specifies the age at which the participant ceased full-time education.
    soc
    specifies the social class of the participant.
    sex
    specifies the sex of the participant.
    role
    describes the relationship or role of this participant with respect to the respondent.
    xml:id
    provides the unique identifier for this element.

The xml:id attribute is required for each participant whose speech is included in a text, and its value is unique within the corpus. Although a given individual will always have the same identifier within a single text, there is no way of identifying the same individual should they appear in different texts. Since all demographically sampled conversations collected by a single respondent are treated together as a single text, this is however rather unlikely.

On many occasions the speaker of a given utterance cannot be identified. A special code is used to indicate an unknown speaker, but, for consistency, this is also made unique to each text. Thus, an "unknown speaker" in one text will have different identifying code from an "unknown speaker" in another.

Where several speakers speak together, if they are identified, then all of the relevant codes are given; if however they are not, then a special "unknown speakere group" code is used.

Where it is available, additional information about a participant is provided by one or more of the following elements, appearing within the <person> element:
  • <persName> (personal name) contains a proper noun or proper-noun phrase referring to a person, possibly including any or all of the person's forenames, surnames, honorifics, added names, etc.
  • <age> specifies the age in years of a recorded participant at the time of the recording in which they participate.
  • <occupation> contains an informal description of a person's trade, profession or occupation.
  • <dialect> contains an informal description of the regional variety of English used by a participant in a spoken text.
  • <persNote> contains any additional information supplied about a participant in a spoken text

In each case, the information provided is that given by the respondent and is taken from the log books issued to all participants in the demographic part of the corpus. It has not been normalized.

Here is a typical example from the demographic part of the corpus:
 <person    age="0"    dialect="XLO"    xml:id="PS5A1"    role="self"    sex="m"    soc="C2">   <name>Terry</name>   <age>14</age>   <occupation>student</occupation>   <dialect>London</dialect>  </person>
Here is a typical example from the context-governed part of the corpus:
 <person    ageGroup="X"    xml:id="PS2AY"    role="unspecified"    sex="m"    soc="UU"    dialect="NONE"    educ="X">   <persName>frank   harasikwa</persName>   <occupation>politician</occupation>   <persNote>Euro candidate presenting self for   selection</persNote>  </person>
Any recorded relationship between speakers in the demographically sampled part of the corpus is specified by means of the role attribute, which indicates how the speaker concerned is related to the respondent, for example as a friend, colleague, brother, wife, etc. For example, the participant information recorded in the header for a text (KSU) comprising conversations between four participants: Michael and Steve (who are brothers), their mother Christine and their aunt Leslie is as follows:
 <particDesc n="708">   <person     ageGroup="Ag0"     xml:id="PS6RM"     role="self"     sex="m"     soc="C2"     dialect="XOT">    <age>13</age>    <persName>Michael</persName>    <occupation>student</occupation>   </person>   <person     ageGroup="Ag4"     xml:id="PS6RN"     role="mother"     sex="f"     soc="C2"     dialect="XOT">    <age>45</age>    <persName>Christine</persName>    <occupation>credit controller</occupation>   </person>   <person     ageGroup="Ag4"     xml:id="PS6RP"     role="aunt"     sex="f"     soc="UU"     dialect="XOT">    <age>45</age>    <persName>Leslie</persName>    <occupation>unemployed</occupation>   </person>   <person     ageGroup="Ag1"     xml:id="PS6RR"     role="brother"     sex="m"     soc="C2"     dialect="XOT">    <age>21</age>    <persName>Steve</persName>    <occupation>unemployed</occupation>   </person>  </particDesc>

In the context-governed part of the corpus however, there is no respondent and relationship information must be deduced from the other information provided. The role attribute for <person> elements in these texts will usually have the value unspecified.

The setting description

The <settingDesc> element is used to describe the context within which a spoken text takes place. It appears once in the header of each spoken text, and contains one or more <setting> elements for each distinct recording.
  • <setting> (setting) describes one particular setting in which a language interaction takes place.
    who
    indicates the person, or group of people, to whom the element content is ascribed.
    n
    an internal identifier for a setting
    xml:id
    provides the unique identifier for this element.
The content of each <setting> element supplies additional details about the place, time of day, and other activities going on, using the following additional elements:
  • <date> contains a date in any format.
    value
    supplies a standardized representation of the date
    (In addition to global attributes)
  • <locale> (locale) contains a brief informal description of the nature of a place for example a room, a restaurant, a park bench etc.
  • <activity> (activity) contains a brief informal description of what a participant in a language interaction is doing other than speaking, if anything.
    spont
    level of spontaneity
  • <placeName> (place name) contains an absolute or relative place name.
Some typical examples follow:
 <setting n="020901" who="PS000 DCJPS000 DCJPS001">   <name>Essex: Harlow </name>   <locale> Harlow College</locale>   <activity spont="M"> A'level lecture </activity>  </setting>  <setting xml:id="KDFSE002" n="063505" who="PS0M6">   <name>Lancashire: Morecambe </name>   <locale> at home </locale>   <activity spont="H"> watching television </activity>  </setting>

Text classification

The TEI provides a number of ways in which classification or text-type information may be specified for a text, grouped together within a <textClass> element, which appears once in the header of each text. Classifications may be represented using references to internally defined classications provided in the <classCode> element (such as the BNC classification scheme described in section The reference and classification declarations), by reference to some other predefined classification system, or by an open set of keywords. All three methods are used in the BNC, using the following elements:
  • <catRef> (category reference) provides a list of codes identifying the categories to which this text has been assigned, each code referencing a category element declared in the corpus header.
  • <classCode> (classCode) contains the classification code used for this text in some standard classification system.
  • <keywords> (Keywords) contains a list of keywords or phrases identifying the topic or nature of a text.
    scheme
    identifies the controlled vocabulary within which the set of keywords concerned is defined.
    (In addition to global attributes)

A <catRef> element is provided in the header of each text. Its target attribute contains values for each of the classification codes listed in the following table and defined in the corpus header. In each case, the classification code consists of a code used as the identifier of a <category> element within a <taxonomy> element defined in the corpus header (see above, ). For example: ALLTIM1 indicates ‘dated 1960-1974’. A list of the values used is given in section Text and genre classification codes below.

This taxonomy is that originally defined for selection and description of texts during the design of the corpus, as further discussed elsewhere. It is of course possible to classify the texts in many other ways, and no claim is made that this method is universally applicable or even generally useful, though it does serve to identify broadly distinct sub-parts of the corpus for investigation. The reader is also cautioned that, although an attempt has been made in the current edition of the corpus to correct the more egregious classification errors noted in the first edition, unquestionably many errors and inconsistencies remain. In particular, the categories WRILEV (perceived level of difficulty) and WRISTA (estimated circulation size) were incorrectly differentiated during the preparation of the corpus and cannot be relied on.

A <classCode> element is also provided for every text in the corpus. This contains the code assigned to the text in a genre-based analysis carried out at Lancaster University by David Lee since publication of the first edition of the BNC. Lee's scheme which is further described in an article (Leeref) classes the texts more delicately in most cases since it takes into account their topic or subject matter.

Lee's scheme is also used as the basis of a very simple categorization for each text, which is provided by means of the type attribute on its <text> or <stext> element. This categorization distinguishes six categories for written text (fiction, academic prose, non-academic prose, newspapers, other published, unpublished), and two for spoken text (conversation, other); It may be found a convenient way of distinguishing the major text types represented in the corpus.

In the first release of the BNC, most texts were assigned a set of descriptive keywords, tagged as <term> elements within the <keywords> element. These terms were not taken from any particular descriptive thesaurus or closed vocabulary; the words or phrases used are those which seemed useful to the data preparation agency concerned, and are thus often inconsistent or even misleading. They have been retained unchanged in the present version of the BNC, pending a more thorough revision. In the World (second) Edition this set of keywords was complemented for most written texts by a second set, also tagged using a <keywords> element, but with a value for its source attribute of COPAC, indicating that the terms so tagged are derived from a different source. The source used was a major online library catalogue service (see http://www.copac.ac.uk). Like other public access catalogue systems, COPAC uses a well-defined controlled list of keywords for its subject indexing, details of which are not further given here.

Here is an example showing how one text (BND) is classified in each of these ways:
 <teiHeader>... <textClass>    <catRef      targets="WRI ALLTIM3 ALLAVA2 ALLTYP3 WRIAAG0 WRIAD0 WRIASE3 WRIATY2 WRIAUD3 WRIDOM8 WRILEV2 WRIMED1 WRIPP5 WRISAM1 WRISTA2 WRITAS3"/>    <classCode scheme="DLee">W_religion</classCode>    <keywords scheme="COPAC">     <term>Marriage - Religious aspects - Christianity</term>     <term>Marriage - Christian viewpoints</term>    </keywords>    <keywords>     <term>Christian guide to marriage</term>    </keywords>   </textClass>...</teiHeader>  <wtext type="NONAC">...</wtext>

The revision description

The revision description (<revisionDesc>) element is the fourth and final element of a standard TEI header. In the BNC, it consists of a series of <change> elements.
  • <change> summarizes a particular change or correction made to a particular version of an electronic text which is shared between several researchers.
    date
    supplies the date of the change in standard form, i.e. yyyy-mm-dd.
    who
    indicates the person, or group of people, to whom the element content is ascribed.
Here is part of a typical example:
 <revisionDesc>   <change date="2006-10-21" who="#OUCS">Tag usage updated for BNC-XML</change>   <change date="2000-12-13" who="#OUCS">Last check for BNC World first   release</change>  ...  <change date="1999-12-25" who="#OUCS">corrected tagUsage</change>   <change date="1999-09-13" who="#UCREL">POS codes revised for BNC-2; header   updated</change>   <change date="1994-11-24" who="#dominic">Initial accession to   corpus</change>  </revisionDesc>

Wordclass Tagging in BNC XML

Introduction

The wordclass tagging1 has not changed significantly between the BNC World edition (2001) and the BNC XML edition (2006). In particular, no attempt has been made to completely retag the corpus, desirable though this might be. Changes have been made in the treatment of multiword units and some additional annotation has been provided (see Additional annotation in BNC XML , but in most respects the wordclass information provided by the corpus now is identical to that provided with the first release of the BNC in 1994.

The BNC is wordclass tagged using a set of 57 tags (known as C5) which we refer to as the "BNC Basic Tagset". (There are also 4 punctuation tags, excluded from consideration here.) Each C5 tag represents a grammatical class of words, and consists of a partially mnemonic sequence of three characters: e.g. NN1 for "singular common noun".

The BNC, consisting of c.100 million words, was tagged automatically, using the CLAWS4 automatic tagger developed by Roger Garside at Lancaster, and a second program, known as Template Tagger, developed chiefly by Mike Pacey. (Further details are given below, and also in R. Garside, G. Leech and T. McEnery, 1997 (eds.), Corpus Annotation: Linguistic Information from Computer Text Corpora, London: Longman, chapters 7-9). With such a large corpus, there was no opportunity to undertake post-editing2 i.e. disambiguation and correction of tagging errors produced by the automatic tagger, and so the errors (about 1.15 per cent of all words) remain in the distributed form of the corpus. In addition, the distributed form of the corpus contains ambiguous taggings (c.3.75 per cent of all words), shown in the form of ambiguity tags (also called ‘portmanteau tags’), consisting of two C5 tags linked by a hyphen: e.g. VVD-VVN. These tags indicate that the automatic tagger was unable to determine, with sufficient confidence, which was the correct category, and so left two possibilities for users to disambiguate themselves, if they should wish to do so. For example, in the case of VVD-VVN, the first (preferred) tag, say for a word such as wanted, is VVD: past tense of lexical verb; and the second (less favoured) tag is VVN: past participle of lexical verb. On the whole, the likelihood of the first tag of an ambiguity tag being correct is over 3 to 1 — see, however, details of individual tags in Table 23. Estimated ambiguity and error rates for the whole corpus (fine-grained calculation) of the error report document.

After the automatic tagging, some manual tagging was undertaken to correct some particularly blatant errors, mainly foreign or classical words embedded in English text. CLAWS is not very successful at detecting these foreign words and tagging them with their appropriate tag (UNC), except when they form part of established expressions such as ad hoc or nom de plume - in which case they are normally given tags appropriate to their grammatical function, e.g. as nouns or adverbs.

The main purpose of the report on estimated error rates is to document the rather small percentage of ambiguities and errors remaining in the tagged BNC, so that users of the corpus can assess the accuracy of the tagging for their own purposes. Since not surprisingly we have been unable to inspect each of the 100 million tags in the BNC, we have had to estimate ambiguity rates and error rates on the basis of a manual post-editing of a corpus sample of 50,000 words. The estimate is based on twenty-four 2,000-word text extracts and two 1,000-word extracts, selected so as to be as far as possible representative of the whole corpus.

Tokenization: splitting the text into words

Regarding the segmentation of a text into individual word-tokens (called tokenization), our tagging practice in general follows the default assumption that an orthographic word (separated by spaces, with or without punctuation, from adjacent words) is the appropriate unit for wordclass tagging. There are, however, exceptions to this. For example, a single orthographic word may consist of more than one grammatical word: in the case of enclitic verb contractions (as in she’s, they’ll, we’re) and negative contractions (as in don’t, isn’t, won’t), it is appropriate to assign two diferent wordclass tags to the same orthographic word. A full list of such contracted forms recognized by CLAWS and preserved in the XML markup is given in section Contracted forms and multiwords.

Also quite frequent is the opposite circumstance, where two or more orthographic words are given a single wordclass tag: e.g. multiword adverbs such as of course and in short, and multiword prepositions such as instead of and up to are each assigned a single word tag (AV0 for adverbs, PRP for prepositions). Sometimes, whether such orthographic sequences are to be treated as a single word for tagging purposes depends on the context and its interpretation. In short is in some circumstances not an adverb but a sequence of preposition + adjective (eg. in short, sharp bursts ). Up to in some contexts needs to be treated as a sequence of two grammatical words: adverbial-particle + preposition-or-infinitive-marker (eg. We had to phone her up to get the code.).

In the BNC XML edition, these multiword units are marked using an additional XML element (<mw>) which carries the wordclass assigned to the whole sequence. Within the <mw> element, the individual orthographic words are also marked, using the <w> element in the same way as elsewhere. For example, the multiword unit of course is marked up as follows:
<mw c5="AV0"> <w c5="PRF" hw="of" pos="PREP">of </w> <w c5="NN1" hw="course" pos="SUBST">course </w> </mw>
. Wordclass tags for the constituent tags of multiword units were derived semi-automatically from the tags assigned to the same words elsewhere in the corpus; there may therefore be residual errors in their usage.

In one respect, we have allowed the orthographic occurrence of spaces to be criterial. This is in the tagging of compound words such as markup, mark-up and mark up. Since English orthographic practice is often variable in such matters, the same ‘compound’ expression may occur in the corpus tagged as two words (if they are separated by spaces) or as one word (if the sequence is printed solid or with a hyphen). Thus mark up (as a noun) will be tagged NN1 AVP, whereas markup or mark-up will be tagged simply NN1.

Tagging Guidelines and Borderline Cases

Many detailed decisions have to be made in deciding how to draw the line between the correct and the incorrect assignment of a tag. So that the concept of what is a ‘correct’ or ‘accurate’ annotation can be determined, there have to be detailed guidelines of tagging practice. These are constitute the Wordclass Tagging Guidelines.

The Guidelines have to give much attention to borderline phenomena, where the distinction between (say) an adjective and a verb participle in -ing is unclear, and to clarify criteria for differentiating them. To promote consistency of tagging practice, the guidelines may even impose somewhat arbitrary dividing lines between one word class and another. Consider the case of a word such as setting, which may be a verb present participle (VVG), an adjective (AJ0) or a singular common noun (NN1). The difference may be illustrated by the three examples:
  • Oil prices are rising again. (verb, VVG)
  • the rising sun (adjective, AJ0)
  • the attempted rising was put down (noun, NN1)

The assignment of an example of ‘Verb+ing’ to the adjective category relies heavily on a semantic criterion, viz. the ability to paraphrase Verb+ing Noun by ‘Noun + Relative Clause that/which/who be Verb+ing’ or ‘that/which/who Verb(s)’ (e.g. the rising sun = the sun which is/was rising; a working mother = a mother who works). These contrast with a case such as dining table, where the first word dining is judged to be a noun. The reason for this is that the paraphrasable meaning of the expression is not ‘a table which is/was dining or dines’, but rather ‘a table (used) for dining’. Although somewhat arbitrary, this relative clause test is well established in English grammatical literature, and such criteria are useful in enabling a reasonable degree of consistency in tagging practice to be achieved, so that the success rate of corpus tagging can be checked and evaluated. (See further Adjective vs. noun)

It also has to be recognized that some borderline cases (occasionally) may have to be considered unresolvable. We may conclude, for example, that the word Hatching (occurring as a heading on its own, without any syntactic context) could be equally well analysed VVG or NN1, and in such a case one would be tempted to leave the ambiguity (VVG-NN1) in the corpus, showing uncertainty where any grammarian would be likely to acknowledge it. However, in our calculations of ambiguity, we have adhered to the common assumption that ideally, all tags should be correctly disambiguated. Other examples of unresolvability from the sample texts are:
  • the importance of weaving in the East (verb or noun? - VVG-NN1)
  • Armed with the knowledge (past participle verb or adjective? - VVN-AJ0)
  • the Lord is my shepherd (common noun or proper noun? - NN1-NP0)

In practice, in our post-edited sample, we chose the first tag to be correct in these cases.

Ambiguity tags, and the principle of asymmetry

As in the first version of the BNC, we have introduced only a limited number of ambiguity tags, to deal with particular cases where the tagger has difficulty in distinguishing two categories, and where incorrect taggings would otherwise result rather frequently. Ambiguity tags involve only the following 18 wordclass labels, and each of the ambiguity tags allows only two labels to be named:
  • AJ0 general adjective (positive)
  • NN2 plural common noun
  • AV0 general adverb
  • NP0 proper noun
  • AVP adverbial particle
  • PNI indefinite pronoun
  • AVQ wh- adverb PRP general preposition
  • CJS general subordinator
  • VVB lexical verb: finite base form
  • CJT subordinator: that
  • VVD lexical verb: past tense;
  • CRD cardinal numeral
  • VVG lexical verb: present participle (-ing form)
  • DT0 determiner-pronoun
  • VVN lexical verb: past participle
  • NN1 singular common noun
  • VVZ lexical verb: -s form

The permitted ambiguity tags are listed in the Wordclass tagging guidelines (Ambiguity Tag list).

It will be noted that overall 30 ambiguity tags are recognized. We also observe that each ambiguity tag (eg VVD-VVN) is matched by another ambiguity tag which is its mirror image (eg VVN-VVD). The ordering of tags is significant: it is the first of the two tags which is estimated by the tagger to be the more likely. Hence the interpretation of an ambiguity tag X-Y may be expressed as follows: ‘There is not sufficient confidence to choose between tags X and Y; however, X is considered to be more likely.’

Guidelines to the Wordclass Tagging

Preliminaries

The BNC basic tagset
For completeness, we begin by listing the C5 tagset used throughout the BNC, followed by the ambiguity codes used:
TagDescription
AJ0Adjective (general or positive) (e.g. good, old, beautiful)
AJCComparative adjective (e.g. better, older)
AJSSuperlative adjective (e.g. best, oldest)
AT0Article (e.g. the, a, an, no)
AV0General adverb: an adverb not subclassified as AVP or AVQ (see below) (e.g. often, well, longer (adv.), furthest.
AVPAdverb particle (e.g. up, off, out)
AVQWh-adverb (e.g. when, where, how, why, wherever)
CJCCoordinating conjunction (e.g. and, or, but)
CJSSubordinating conjunction (e.g. although, when)
CJTThe subordinating conjunction that
CRDCardinal number (e.g. one, 3, fifty-five, 3609)
DPSPossessive determiner-pronoun (e.g. your, their, his)
DT0General determiner-pronoun: i.e. a determiner-pronoun which is not a DTQ or an AT0.
DTQWh-determiner-pronoun (e.g. which, what, whose, whichever)
EX0Existential there, i.e. there occurring in the there is ... or there are ... construction
ITJInterjection or other isolate (e.g. oh, yes, mhm, wow)
NN0Common noun, neutral for number (e.g. aircraft, data, committee)
NN1Singular common noun (e.g. pencil, goose, time, revelation)
NN2Plural common noun (e.g. pencils, geese, times, revelations)
NP0Proper noun (e.g. London, Michael, Mars, IBM)
ORDOrdinal numeral (e.g. first, sixth, 77th, last) .
PNIIndefinite pronoun (e.g. none, everything, one [as pronoun], nobody)
PNPPersonal pronoun (e.g. I, you, them, ours)
PNQWh-pronoun (e.g. who, whoever, whom)
PNXReflexive pronoun (e.g. myself, yourself, itself, ourselves)
POSThe possessive or genitive marker 's or '
PRFThe preposition of
PRPPreposition (except for of) (e.g. about, at, in, on, on behalf of, with)
PULPunctuation: left bracket - i.e. ( or [
PUNPunctuation: general separating mark - i.e. . , ! , : ; - or ?
PUQPunctuation: quotation mark - i.e. ' or "
PURPunctuation: right bracket - i.e. ) or ]
TO0Infinitive marker to
UNCUnclassified items which are not appropriately considered as items of the English lexicon.
VBBThe present tense forms of the verb BE, except for is, 's: i.e. am, are, 'm, 're and be [subjunctive or imperative]
VBDThe past tense forms of the verb BE: was and were
VBGThe -ing form of the verb BE: being
VBIThe infinitive form of the verb BE: be
VBNThe past participle form of the verb BE: been
VBZThe -s form of the verb BE: is, 's
VDBThe finite base form of the verb BE: do
VDDThe past tense form of the verb DO: did
VDGThe -ing form of the verb DO: doing
VDIThe infinitive form of the verb DO: do
VDNThe past participle form of the verb DO: done
VDZThe -s form of the verb DO: does, 's
VHBThe finite base form of the verb HAVE: have, 've
VHDThe past tense form of the verb HAVE: had, 'd
VHGThe -ing form of the verb HAVE: having
VHIThe infinitive form of the verb HAVE: have
VHNThe past participle form of the verb HAVE: had
VHZThe -s form of the verb HAVE: has, 's
VM0Modal auxiliary verb (e.g. will, would, can, could, 'll, 'd)
VVBThe finite base form of lexical verbs (e.g. forget, send, live, return) [Including the imperative and present subjunctive]
VVDThe past tense form of lexical verbs (e.g. forgot, sent, lived, returned)
VVGThe -ing form of lexical verbs (e.g. forgetting, sending, living, returning)
VVIThe infinitive form of lexical verbs (e.g. forget, send, live, return)
VVNThe past participle form of lexical verbs (e.g. forgotten, sent, lived, returned)
VVZThe -s form of lexical verbs (e.g. forgets, sends, lives, returns)
XX0The negative particle not or n't
ZZ0Alphabetical symbols (e.g. A, a, B, b, c, d)

Total number of wordclass tags in the BNC basic tagset = 57, plus 4 punctuation tags

Ambiguity Tag list

In addition, there are 30 "Ambiguity Tags". These are applied wherever the probabilities assigned by the CLAWS automatic tagger to its first and second choice tags were considered too low for reliable disambiguation. So, for example, the ambiguity tag AJ0-AV0 indicates that the choice between adjective (AJ0) and adverb (AV0) is left open, although the tagger has a preference for an adjective reading. The mirror tag, AV0-AJ0, again shows adjective-adverb ambiguity, but this time the more likely reading is the adverb.

Ambiguity tag Ambiguous between More probable tag
AJ0-NN1 AJ0 or NN1 AJ0
AJ0-VVD AJ0 or VVD AJ0
AJ0-VVG AJ0 or VVG AJ0
AJ0-VVN AJ0 or VVN AJ0
AV0-AJ0 AV0 or AJ0 AV0
AVP-PRP AVP or PRP AVP
AVQ-CJS AVQ or CJS AVQ
CJS-AVQ CJS or AVQ CJS
CJS-PRP CJS or PRP CJS
CJT-DT0 CJT or DT0 CJT
CRD-PNI CRD or PNI CRD
DT0-CJT DT0 or CJT DT0
NN1-AJ0 NN1 or AJ0 NN1
NN1-NP0 NN1 or NP0 NN1
NN1-VVB NN1 or VVB NN1
NN1-VVG NN1 or VVG NN1
NN2-VVZ NN2 or VVZ NN2
NP0-NN1 NP0 or NN1 NP0
PNI-CRD PNI or CRD PNI
PRP-AVP PRP or AVP PRP
PRP-CJS PRP or CJS PRP
VVB-NN1 VVB or NN1 VVB
VVD-AJ0 VVD or AJ0 VVD
VVD-VVN VVD or VVN VVD
VVG-AJ0 VVG or AJ0 VVG
VVG-NN1 VVG or NN1 VVG
VVN-AJ0 VVN or AJ0 VVN
VVN-VVD VVN or VVD VVN
VVZ-NN2 VVZ or NN2 VVZ

Total number of wordclass tags including punctuation and ambiguity tags = 91.

Appearance of wordclass tags and citations

Throughout this section, we will show text examples in a format which is different from the XML contained in the corpus but which will highlight the particular tag that is being discussed. The XML tagging (for example, paragraph and pause markers) is not generally relevant to the present discussion and is usually invisible when using concordancing software such as Xaira, BNCWeb, or WordSmith.

As noted above, each word in the corpus is marked by an XML <w> element which provides three additional pieces of information the wordclass, carried by the c5 attribute, a headword or lemma derived from the word, carried by the hw attribute, and a simplified wordclass derived from the c5 value, carried by the pos attribute.

In the XML source therefore, we will see sentences like this:
<w c5="AV0" hw="apparently" pos="ADV">apparently </w> <w c5="PNP" hw="we" pos="PRON">we </w> <w c5="VVB" hw="eat" pos="VERB">eat </w> <w c5="DT0" hw="more" pos="ADJ">more </w> <w c5="NN1" hw="chocolate" pos="SUBST">chocolate </w> <w c5="CJS" hw="than" pos="CONJ">than </w> <w c5="DT0" hw="any" pos="ADJ">any </w> <w c5="AJ0" hw="other" pos="ADJ">other </w> <w c5="NN1" hw="country" pos="SUBST">country</w> <c c5="PUN">.</c>
For simplicity of discussion throughout this section we have chosen not to present examples in this way, but instead to suppress the bulk of the XML markup. Only the the wordclass attribute of the word (or words) being in question, we have preserved this and placed it after the word it relates to in the example sentences. Under subordinating conjunctions, for instance, the citation above appears as follows:

...apparently we eat more chocolate than_CJS any other country. [G3U.1000]

This is purely as an aid to reading the present document; in the corpus itself, all wordclass tagging is represented using the XML conventions shown above.
As noted above, any example from the BNC can be identified by means of the text identifier (a three character code such as GRU) and the number of the <s> element within it. We use this method throughout the following examples, where they are taken from the BNC. Thus, the example aboveis taken from s-unit 1000 of text G3U. In sections Disambiguation Guide and Disambiguation by Word below, we occasionally cite cases where the POS-tagging in the corpus does not match the tag given in the citation, in that it is either an error or an ambiguity tag. This is to give an idea of the contexts in which the resolution of ambiguities has been less reliable. We list the tag found in the corpus next to the file reference with an asterisk, eg. in well we give the ideal tag as VVB, but the actual tag as AV0:

Tears well_VVB up in my eyes.[BN3.5 *AV0]

Note also that we occasionally use invented examples, rather than corpus citations, especially where a contrast between categories is being made.
Appearance and tagging of contracted forms
Contracted forms — including enclitics, eg he's, she'll, negatives eg don't and can't, and 'fused words', eg wanna and gimme — are broken down by the tagger into their component parts, with each part being assigned its own tags. No spaces are introduced in POS-tagged contracted words:

doesn't = does_VDZ n't_XX0
dunno = Du_VDB n_XX0 no_VVI
wanna = wan_VVB na_TO0 or wan_VVB na_AT0
gimme = Gim_VVB me_PNP

This procedure sometimes results in strange-looking word divisions, particularly with the fused words. However, they do provide a ready means of comparison with the full forms, such as want_VVB to_TO0 and give_VVB me_PNP.

Note that in the case of ain't it has been tricky to resolve the tag of the first part ( ai ) satisfactorily. Therefore in all contexts we have tagged this as an unclassified word, followed by the negative particle.

Ai_UNC n't_XX0 got yours yet [KCT.1281]

Appearance and tagging of multiwords

The term `multiwords' denotes multiple-word combinations which CLAWS determines function as one wordclass - for example, a complex preposition, an adverbial, or a foreign expression naturalised into English as a compound noun. In the XML version of the corpus, these sequences are explicitly markeed using an XML element (<mw>). The individual orthographic words of which the sequence is composed are also marked, in the same way as other words, using the <w> element.

For example, as noted above, in the XML source of the corpus, the multiword sequence of course is tagged as follows:

<mw c5="AV0"> <w c5="PRF" lemma="of" pos="PREP">of </w> <w c5="NN1" lemma="course" pos="SUBST">course </w> </mw>

When displaying examples which contain multiwords in this chapter, we display only the wordclass of the outermost <mw> element. Its boundaries are indicated, where possible, by extra highlighting:

Of course_AV0 I can. [H9V.212]

The wordclass tags assigned to constituent parts of multiword items are listed in Contracted forms and multiwords. This part of the wordclass tagging was done automatically during the XML conversion process, and has not been checked by CLAWS.

Note that some multiwords can represent different categories according to context, e.g. in between in:

The stage in between_PRP the original negative and the dupe is called an interpositive [FB8.295]
The truth lies somewhere in between_AV0 [ABK.2834]

Moreover, sometimes it is more appropriate to tag a word combination as consisting of ordinary words than as a multiword sequence, as in the case of but for below:


but_CJC for_PRP years now darkness has been growing [F99.2027] cf.
which they would not have done but for_PRP the presence of the police. [H81.766]

Words joined by the slash character
Words which are joined together by a slash ( / ) but no whitespace, such as and/or, are not split up in tagged versions of the text.
  • if they are of the same wordclass they are assigned the same tag;
  • if they are of different wordclasses, the whole sequence is assigned the 'unclassified' tag, UNC.
Examples:


A title and/or_CJC an author's name [H0S.358]
You should be a graduate in Electrical/Electronic_AJ0 Engineering, Physics , Mathematics , Computing or a related discipline. [CJU.1049]
A time-space matrix for each rural/social/age_NN1 group. [FR2.346]

Introduction to Word Classes

Nouns
Common nouns
Singular common nouns are tagged NN1, while plurals take NN2:

A child_NN1.
Several children_NN2
An air_NN1 of distinction_NN1
Fifteen miles_NN2 away

Nouns which are morphologically invariant for number or which can take either a singular or plural verb, (so-called `neutral for number') are tagged NN0:

Now the government_NN0 is considering new warnings on steroids ... [K24.3057]
... the Government_NN0 are putting people's lives in jeopardy. [A7W.518]
I caught a fish_NN0.[KBW.316]
I had caught four fish_NN0 with hardly any effort[B0P.1387]

We make no special distinction between common nouns that can be mass (or `non-count') nouns (eg water, cheese), and other common nouns. All are tagged NN1 when singular and NN2 when plural:

Cheese_NN1 is a protein of high biological value. [ABB.1950]
three cheeses_NN2. [CH6.7834]
A car_NN1 glistens in the distance_NN1. [HH0.1035]
Three cars_NN2, two lorries_NN2 and a motorbike_NN1! [CHR.290]

In general we try to tag abbreviations for common nouns (and other word classes) as if they were written as full forms. Abbreviations for measurement nouns are generally tagged NN0 as they are invariant for number.

Crewe are top of div_NN1 3 by 8 points [J1C.961] (where div = division)
1 km_NN0
400 km_NN0 (km = 'kilometre' or 'kilometres')
1 oz_NN0.
6 oz_NN0 (oz = 'ounce' or 'ounces')

Nouns such as hundred, hundreds, dozens, gross, are all tagged as numbers, CRD, rather than nouns.

Proper nouns
The tag NP0 ideally should denote any kind of proper noun, but in practice the open-endedness of naming expressions makes it difficult to capture all possible types consistently. We have confined its coverage mainly to personal and geographical names, and to names of days of the week or months of the year. Within these, some rather arbitrary borderlines have had to be drawn.

Sally_NP0; Joe_NP0 Bloggs_NP0; Madame_NP0 Pompadour_NP0; Leonardo_NP0 da_NP0 Vinci_NP0 London_NP0; Lake_NP0 Tanganyika_NP0; New_NP0 York_NP0 April_NP0; Sunday_NP0

Number
Note that the distinction between singular and plural proper nouns is not indicated in the tagset, plural proper nouns being a comparative rarity:

John_NP0 Smith_NP0. All of the Smiths_NP0.

Multiwords
Note also that proper nouns are not processed as multiwords (though there may be good linguistic reasons for doing so). Each word in such a sequence gets its own tag.
Initials
A person's initials preceding a surname are tagged NP0, just as the surname itself. The choice whether to use a space and/or full-stop between initials (eg J.F. or J. F. or J F or JF) is determined by the original source text; the tagged version follows the same format.

John F. Kennedy = John_NP0 F._NP0 Kennedy_NP0 J. F. Kennedy = J._NP0 F._NP0 Kennedy_NP0 J.F. Kennedy = J.F._NP0 Kennedy_NP0

In the spoken part of the BNC, however, the components of names — and, in fact, most words — that are spelt aloud as individual letters, such as I B M, and J R in J R Hartley, are not tagged NP0 but ZZ0 (letter of the alphabet). See below

Nouns of style
Preceding a proper noun, or sequence of proper nouns, style (or title) nouns with uppercase initial capitals are tagged NP0:

Pastor_NP0 Tokes_NP0
Chairman_NP0 Mao_NP0
Sub-Lieutenant_NP0 R_NP0 C_NP0 V_NP0 Wynn_NP0
Sister_NP0 Wendy_NP0

Contrast the last example with the following:

You remember your sister_NN1 Wendy_NP0... [HGJ.800]

where Wendy is in apposition to a common noun sister, in lowercase letters.
Geographical names
For names of towns, streets, countries and states, seas, oceans, lakes, rivers, mountains and other geographical placenames, the general rule is to tag as NPO. If the word the precedes, it is tagged AT0:

East_NP0 Timor_NP0
South_NP0 Carolina_NP0
Baker_NP0 Street_NP0
West_NP0 Harbour_NP0 Lane_NP0
the_AT0 United_NP0 Kingdom_NP0
the_AT0 Baltic_NP0
the_AT0 Indian_NP0 Ocean_NP0
Mount_NP0 St_NP0 Helens_NP0
the_AT0 Alps_NP0

Other tags are used for the constituents of more verbose (especially political) descriptions of placenames, or those that are not typically marked on maps:

Latin_AJ0 America_NP0
Western_AJ0 Europe_NP0
the_AT0 Western_AJ0 Region_NN1
the_AT0 People_NN0's_POS Republic_NN1 of_PRF China_NP0
the_AT0 Dominican_AJ0 Republic_NN1
the_AT0 Sultanate_NN1 of_PRF Oman_NP0

The examples show a little arbitrariness in application. For example, contrast

the_AT0 United_NP0 States_NP0
the_AT0 Soviet_AJ0 Union_NN1

Multiword names containing a compass point, ie. those beginning North, South, East, West, North East, South-west etc. nearly always become NP0, whereas those with Northern, Southern, Eastern, Western follow the non-NP0 pattern. Rare exceptions are:

Northern_NP0 Ireland_NP0
Western_NP0 Samoa_NP0

Non-personal and non-geographical names
Where names of organisations, sports teams, commercial products (incl newspapers), shops, restaurants, horses, ships etc. consist of ordinary words (common nouns, adjectives etc.), they receive ordinary tags (NN1, AJ0 etc.). Only if a word used as part of a name is an existing NP0 (typically a personal or geographical name), or a specially-coined word, is it tagged NP0. Some examples follow:
Organisations, sports teams etc.

Cable_NN1 and_CJC Wireless_NN1
Procter_NP0 and_CJC Gamble_NP0 Acorn_NN1 Marketing_NN1 Limited_AJ0
Minolta_NP0; IBM_NP0; NATO_NP0
Wolverhampton_NP0 Wanderers_NN2 ( football_NN1 club_NN1 )
Tottenham_NP0 Hotspur_NP0 (football_NN1 club_NN1 )
The_AT0 Chicago_NP0 Bears_NN2
Spartak_NP0 Moscow_NP0
World_NN1 Health_NN1 Organisation_NN1
Oxfam_NP0

There is a slight inconsistency here, in that acronyms of organisation names (WHO, NATO, IBM etc.) take NP0, whereas the expanded forms of these names take regular tags.
Products (including newspapers and magazines)

Windows_NN2 software_NN1
Weetabix_NP0
Lancashire_NP0 Evening_NN1 Post_NN1
Mars_NP0 bars_NN2
Time_NN1 Magazine_NN1
Scotchgard_NP0
The_AT0 Reader_NN1 's_POS Digest_NN1
Perrier_NP0 water_NN1

Company names may sometimes be used to represent product names; in such cases the same tags apply. For example:

John drives a Volkswagen_NP0 Golf_NN1
John drives a Volkswagen_NP0.

Shops, pubs, restaurants, hotels, horses, ships etc.

Body_NN1 Shop_NN1
Mothercare_NP0
The_AT0 Grand_AJ0 Theatre_NN1
Sainsburys_NP0 supermarket_NN1
The_AT0 King_NN1 's_POS Arms_NN2
The_AT0 Ritz_NP0
Red_AJ0 Rum_NN1
Aldaniti_NP0
The_AT0 Bounty_NN1
The_AT0 Titanic_NP0

Here again NP0 is reserved for parts of names that are specially coined, or derived from existing personal/geographical proper nouns.
Verbs
type
The second character of a verb tag marks the type of verb as follows:
BForms of be (VBB VBD VBG VBI VBN VBZ)
DForms of do ( VDB VDD VDG VDI VDN VDZ)
HForms of have ( VHB VHD VHG VHI VHN VHZ)
MOther modal verbs (VM0)
VLexical verb (VVB VVD VVG VVI VVN VVZ)
Inflection
The third character of a verb tag marks the verb inflection as follows:
Bbase form finite
D past tense
Z 3rd person sing present
N past participle
I infinitive
G present participle
be, have, and do
Auxiliary and main uses of these verbs are not distinguished: .

she is_VBZ playing her best tennis for six years. [CH3.1382]
she is_VBZ just a star. [CH3.6939]
John has_VHZ built a set of bookshelves. [C9X.121]
John has_VHZ great courage. [CA9.1869]
We did_VDD n't_XX0 see anybody. [KB2.702]
They do_VDB nice work. [ANY.514]

Note the variant form of have in non-standard English:

they shouldn't of_VHI left it the last minute [KD8.7288]
That could of_VHI been 'bout us [B38.322]

Lexical verbs
Tags beginning VV- apply to all other (lexical) verbs.

She travels_VVZ in every Saturday morning. [KRH.4013]
The young kids want_VVB to dance_VVI and have fun [CHA.1599]
I thought_VVD he looked_VVD a sad sort of a boy. [CDY.2831]
...after running_VVG out of coal, the crew were forced_VVN to burn_VVI timber and resin [HPS.269]

Modals
All modals are tagged VM0. We do not differentiate between so-called past and present forms:

We can_VM0 go there.
We could_VM0 go there.
We used_VM0 to_TO0 go there every year.

The form let's is treated as one verb:

Let_VM0's go_VVI! [A61.1443]

Contracted forms
Contracted forms (can't, won't, gimme, dunno etc) are split into their component parts, which are tagged individually.

Are_VBBn't_XX0 you coming?[A0R.2215]
I du_VDB n_XX0 no_VVI [KR0.23]

Subjunctives and Imperatives
No special tags are used for these:

She suggested that they get_VVB married. [CBC.12107]
Please be_VBB patient. [CHJ.899]
Do_VDBn't_XX0 just stand there watching! [ACB.3470]

Catenative or semi-auxiliary verbs
Again, no special tagging is used for such forms as going to, ought to, or used to + infinitive:

you're not going_VVG to_TO0 get killed [KCE.6550]
you ought_VM0 to_TO0 let them know. [KCT.6115]

Adjectives

Adjectives are given one of the wordclass tags AJ0, AJC, or AJS.

The general tag for adjectives (AJ0) subsumes:
Predicative and attributive uses

The ground was dry_AJ0 and dusty_AJ0 [GWA.118]
The dust from the dry_AJ0 ground [GWA.121]

Quasi-comparatives and quasi-superlatives
Adjectives which have a heightening or downtoning effect rather like that of comparatives and superlatives, but which do not behave syntactically like comparatives or superlatives, are treated as ordinary adjectives. Examples include utter, upper and uppermost:

Events in Eastern Europe were evidently uppermost_AJ0 in Mr Li's mind. [A95.366]
Family contacts were very important in uniting the upper_AJ0 classes [FB6.1495]

Adjectives used catenatively
For example, able and unable:

Will you be able_AJ0 to manage? (catenative)
Your son is very able_AJ0 (non-catenative)

Comparative adjectives receive the tag AJC; superlatives take AJS:

A faster_AJC car.
The best_AJS in its class.

Ambiguities frequently arise between adjectives and other wordclasses, in particular adverbs, nouns and participles.

Adverbs

Adverbs are given one of the tags AV0, AVQ, or AVP

AV0 is the default tag for adverbs. It incorporates a very mixed bag, including:
adverbs of time, manner, place etc.
Eg slowly; here; soon
degree adverbs
Eg very and rather in

very_AV0 tall_AJ0
rather_AV0 painfully_AV0

sentence adverbs
for example:

However_AV0, …
In_AV0 addition

postnominal adverbs
for example:

aged between 2 and 11 years inclusive_AV0 [AMD.31]
the buildings thereon_AV0 [J16.813]
during 1986-91 inclusive_AV0 [FT0.1400]
Diamonds galore_AV0 [FPH.900]

discourse markers
such as well, right, like:

you know like_AV0, it's worthwhile opening a cinema at 4 o'clock... [F7A.358]

Note that adverbs, unlike adjectives, are not tagged as positive, comparative, or superlative. This is because of the relative rarity of comparative and superlative adverbs.

Interrogative and relative wh-adverbs (when, where, how, why, wherever) are tagged AVQ whether the word occurs in interrogative or relative use.

"When_AVQ do your courses start?" [A0F.3117]
"...if you let me know when_AVQ the police are called in." [BMU.2291]
Yet why_AVQ is that so? [CR7.3089]

Ordinal-type adverbs (including first, fourth, etc.) are treated separately with the ORD tag

Prepositional Adverbs (also known as "Adverbial Particle") are treated as prepositions and tagged AVP: see Prepositions

Articles, determiners & pronouns

Articles, definite or indefinite, are tagged AT0. Pronouns which act as determiners of various kinds (all, which, your etc.) are given tags DPS, DT0, or DTQ, and distinguished from pronouns which do not have a determiner function. These are marked using one of the tags PNP, PNI, PNQ, or PNX depending on their function.

Articles
All articles are tagged AT0. An article is defined here as a determiner word which typically begins a noun phrase, but which cannot occur as the head of a noun phrase. Examples include a/an, the, no and every:

Have a_AT0 break
Every_AT0 year
There's no_AT0 time

Determiners
Recognising that there is a high degree of formal and functional overlap between determiners and pronouns, we have conflated under the D-- heading words that are capable of either function. We distinguish three classes of determiner pronouns:
Determiner-Pronoun
Words such as few, both, another are tagged DT0:

free secondary education for all_DT0 [ECB.1610]
Few_DT0 diseases are incurable [GV1.1129]
for the benefit of the few_DT0 [HHX.10183]

Interrogative determiner-pronoun
The wh- (interrogative) determiner-pronoun is tagged DTQ. Which and what are always tagged DTQ:

Which_DTQ country do you live in? [A7N.979]
And she didn't say which_DTQ? [KCF.351 ]
What_DTQ time is it? [A0N.406]

Prenominal possessive determiner pronoun
Forms such as my, your, etc are always tagged DPS, for example:

my_DPS hat

Compare this with the nominal use:

That is your way. This is mine_PNP [ASD.726-7]

Pronouns
Tags beginning P-- indicate pronouns which do not share the determiner function, for example I, it , anyone. Pronouns are differentiated according to whether they are:
  • personal (PNP), eg I, him, they, us. Note also: it is included here.
  • reflexive personal (PNX), eg herself, themselves
  • indefinite pronouns (PNI), anyone, everything, nobody
  • interrogative (PNQ), eg who, whoever
Relative pronouns
Which as a relative (or interrogative) pronoun is grouped with the other determiner-pronouns, and tagged DTQ:

Give 4 details which_DTQ should appear on an order form [HBP.417]

Meanwhile, that as a relative clause complementizer is treated with that as a complement clause complementizer, and tagged CJT:

I got some currants that_CJT are left over [KST.3733]
this girl that_CJT Claire knows [KC7.1101]
He dismissed reports that_CJT his party was divided over tactics [A28.11]
We both knew that_CJT enough was enough. [FEX.268]

Note, however, that that takes the tag DT0 when it functions as a demonstrative pronoun or determiner:

Look at that_DT0 bear! [KP8.1547]
I guess I was sad about that_DT0.[BMM.239]

Prepositions and prepositional adverbs

Prepositions
Most prepositions are tagged PRP, including a large number of multiword items. Examples include:

at_PRP the Pompidou Centre in_PRP Paris [A04.325]
I use humour as_PRP a protection [FBL.356]
Heard about_PRP this have you? [KE6.9556]
According_PRP to ancient tradition, ...[A04.784]
Many disputes are dealt with by bodies other_PRP than courts. [F9B.4]
Nice walls and a big sky to look at_PRP. [A25.122]

Of
The preposition of is assigned a special tag PRF because of its frequency and its almost exclusively postnominal function. Examples:

a couple of_PRF cans of_PRF Coke[ AJN.283]
DNA consists of_PRF a string of_PRF four kinds of_PRF bases [AE7.107]

. Note that numerous multiwords contain of, eg in front of, in light of, by means of, etc.
Prepositional adverbs/particles
Preposition-type words which have no complement are tagged AVP. Typical uses of AVP are in phrasal verb constructions, or when it functions as a place adjunct:

We gave up_AVP after two hours. [KSV.1029]
there were a lot of horses around_AVP. [HR7.3101]

There are many instances of ambiguity between PRP and AVP.

Conjunctions

Co-ordinating conjunction
Co-ordinators such as and, or, but, nor etc are tagged CJC:

Fish and_CJC chips
James laughed and_CJC spilled wine. [A0N.136]
She was paralysed but_CJC she could still feel the pain. [FLY.529]

Subordinating conjunction
All subordinating conjunctions are all tagged CJS and introduce one of:
an adverbial clause (of time, reason, condition etc.)

"When_CJS you 've done it , you should go home,"[CRE.949]
I still stayed there after_CJS I heard the shooting [HW8.3263]
As_CJS you may know Scorton will again enter the Best Kept Village competition in 1992 [HPK.768]
Do send me an interim copy as_CJS soon as you can [HD3.69]
If_CJS it's wet just take your time. [KCL.554]

a comparative clause
introduced by than or as, and occurring with or without ellipsis:

It was worse than_CJS she could have imagined.[CH0.1315]
...apparently we eat more chocolate than_CJS any other country.[G3U.1000]
"it's as good as_CJS it's going to get."[K9K.199]
make the transporter as light as_CJS possible. [CA1.1113]

a nominal wh-clause
containing whether or if

Can you tell me whether_CJS ivies do damage trees. [C9C.720]

Complementary clause
The conjunction that at the start of a clause introducing reported speech and thought, and also at the start of a relative clause is tagged CJT:

Historians knew that_CJT this was nonsense.[G3C.363]
China announced that_CJT it was ending martial law in the Tibetan capital Lhasa. [KRU.95]
The problem that_CJT he was having was that_CJT she was his legal wife 's sister [HE3.210]

Numerals

Cardinal numbers and similar items are tagged CRD. Ordinal numbers and similar items are tagged ORD.

Numbers and fractions
All cardinal numbers, numeral nouns, fractions and so on take the tag CRD, whether they are written as words or numerals, and whether functioning nominally or prenominally. Examples:

5_CRD out of 10_CRD[CGM.525]
one_CRD striking feature of the years 1929_CRD-31[A6G.134]
his first_ORD innings, when he scored forty_CRD-two, with seven_CRD fours_CRD [KJT.128]
Hundreds_CRD of people audition each year [K1S.2239]
About a dozen_CRD there. [HEU.131]

Ordinal numbers and similar
Ordinal numbers are assigned ORD in all syntactic positions, including adverbial positions, as in

We only came fourth_ORD in the county championship last_ORD year[EDT.1629]

. Note that ORD is also assigned to less overtly numeric words like next and last, even in clear adverbial, adjectival or nominal contexts. This is because next and last function like ordinals both syntactically and semantically.
Currency and measurement expressions
Measurement expressions, consisting of numbers and a unit of measurement of some kind (together as one word), are assigned a noun tag, usually NN0 (neutral for number) or NN2 (plural):

6kg_NN0
pound;600_NN0
12.5%_NN0
12&ins;_NN2 ( = 12 inches)

formulae
Other sequences of numeric and alphabetic characters are assigned UNC (unclassified) tags:

Figure 2b_UNC [FTC.250]
Serial no. S835508_UNC [C9H.2282]
A4_UNC sheet of paper [CN4.296]
Mark drove home along the M1_UNC [AC2.2210]

Miscellaneous other tags

Existential there
The tag EX0 is used for there when it does not carry any real meaning: it merely states that something exists or existed. It occurs at the beginning of a clause and is usually followed by the verb be and an indefinite noun phrase; for example

There_EX0 was a long pause and then a smile [A4H.416]
Waiter! Waiter! There_EX0's an awful film on my soup! [CHR.657-9]
There_EX0 appears to be little alternative [ECE.2139]

Compare this with there when it has a clear locative meaning ('in/to that place'):

Don't stand there_AV0 grinning like a stuck pig [C85.1553]

Interjection
The tag ITJ is used for any interjection:

Hello_ITJ, Nell.
Oi_ITJ - come here!
Yes_ITJ , please_AV0 do
No_ITJ not_XX0 yet_AV0

( For the distinction between ITJ and the unclassified tag, UNC, see Interjection vs. unclassified)
Genitive morpheme
The tag POS is used for the genitive morpheme 's (singular) or ' (plural after an s):

teacher_NN1 's_POS pet
teachers_NN2 '_POS pet

Note the lack of space between the noun and the following POS, as 's is tokenized in the same way whether it represents a genitive or a contracted verb. See further on tagging of 's in apostrophe 'S
Infinitive marker
The tag TO0 is used for the infinitive marker. This includes elliptical uses.

"Do you want to_TO0 talk about it?" [EFG.1935]
In the summer holidays I can , I can get up early if I want to_TO0 . [KPG.4153]

Note the morphological variation of to in the following colloquial forms:

We got_VVN ta_TO0 go
We wan_VVBna_TO0 stay.

Unclassified words
The tag UNC is used for unclassified (or unclassifiable) words. It is applied in contexts where no other wordclass tag seems appropriate, including
  • "Noise words" and pause fillers in spoken utterances; imitations of animal or machine sounds:

    blah_UNC blah_UNC blah_UNC
    er_UNC I think so

  • Certain fused forms (in written or spoken data) for which no other tag would be appropriate:

    Methinks_UNC
    That ai_UNC n't_XX0 right.
    0.5 cm increments_UNC/30 seconds [HWT.282]
    Fits with most lap/diagonal_UNC seat belts. [BNX.392]

  • Truncated words in speech. Partial words that are not completed by a speaker, whether through hesitation or an interruption, are also usually marked with the XML tags <trunc>; for example the partial word bathr in the following:

    The bathr_UNC data. er you can't beat a white bathroom suite anyway. [KCF.771]

  • Partial repetitions of multiwords in spoken data.
    Occasionally in spoken data, when a multiword sequence is used, it appears to be repeated, but only partially so. In the following example, the orthographic word sort is used twice:

    we're going to sort sort of summarize... [G5X.106]

    We treat the first sort as an incomplete multiword, and tag it UNC (rather like truncated words, above). The complete multiword sort of is tagged AV0, as normally.

    we're going to sort_UNC sort of_AV0 summarize...

See Features of spoken corpus tagging for further examples; for the distinction between UNC and ITJ see Interjection vs. unclassified.
Negative particle
XX0 is the tag for the negative particle not, and also for its contracted or fused form,

Brown did_VDD n't _XX0see it that way. [A6W.338]
no, that is not_XX0 correct. [JK0.257]

Letter
ZZ0 is used for a free-standing letter of the alphabet such as A, X, x, p, r . If however, the letter clearly represents a separate word, or an abbreviation of a separate word, we have tried to assign the appropriate POS-tag for the full form of that word, rather than ZZ0.For example,
  • I as personal pronoun is PNP rather than ZZ0.
  • a as indefinite article is tagged AT0
  • F as in John F. Kennedy is tagged NP0
  • v meaning 'versus' is tagged PRP in

    Italy v_PRP New Zealand ... Hungary v_PRP Thailand [A1N.507].

    Although the same should apply to v. the full-stop is liable to force a new sentence break. (See eg CHS.1076, EB2.19, EDL.313)
  • In spoken texts, words which are spelt out by the speaker are transcribed letter by letter, and each letter is tagged ZZ0.

    I_ZZ0 B_ZZ0 M_ZZ0 compatible [JYM.6]
    children who go to the E_ZZ0 N_ZZ0 T_ZZ0 clinic [KB8.3807]

Disambiguation Guide

The following is a guide to resolution of the most common tagging ambiguities. It states the principles by which we have drawn the line between the "correct" and the "incorrect" assignment of a tag in particular contexts (as applied in the report on tagging error rates.) Note that in the next two sections, we also cite examples where the POS-tagging in the corpus is less reliable and does not match that given for the citation. In such cases we append the actual tag in the corpus to the file reference with an asterisk. Eg. under Adjective vs Adverb (next section), the preferred tag for long is AV0, but the actual tag is ambiguous AV0-AJ0:

You're not supposed to keep medicine that long_AV0. [H8Y.1976 *AV0-AJ0]

Note also that in this section we use a number of invented examples (in addition to corpus citations) to clarify the distinction between categories.

Disambiguation by Tag Pair
Adjective vs. adverb
After a verb or an object, there is sometimes a difficult choice between AJ0 and AV0, or between AJC and AV0. e.g.:

We arrived tired_AJ0, but safe_AJ0 [CCP.529]

Here, both tired and safe are AJ0. The main test is to see whether one can express the relation between these words and their logical subjects using the verb be: They arrived tired but safe implies 'They were tired but safe'. The word tagged AJ0 refers to a property of a noun, rather than to a property of an event or situation. Contrast:

After a little he remembered it and sang out loud_AV0.[A0N.1144]-->

This sentence does not imply that he was loud, but is more or less equivalent to He sang out loudly. It means that his singing was loud.

It follows that when, in colloquial English, a word which we normally expect to be an adjective is used as an adverb, we should tag it AV0:

You did great_AV0 though. [HH0.3248 *AV0-AJ0]

Here is another pair of examples, where the AJ0/AV0 word follows an object:

everyone below 25 grew their hair too long_AJ0. [ARP.590 *AV0-AJ0]
(i.e. 'their hair was too long'.)
Try not to keep her too long_AV0. [FAB.3620 *AV0-AJ0]
(i.e. NOT 'she will be too long.')

Also note the similar distinction between AJC and AV0:

They'll have to make the taxes higher_AJC. ('the taxes will be higher')
We can make this piece higher_AJC if you want to. [BNG.2268]
You'll have to aim higher_AV0. (NOT 'you will be higher')
You should aim higher_AV0 [ACN.984 *AJC]

Similar considerations arise for the choice between AJS and AV0:

I thought it best_AJS to call. [AT4.3239]
I liked the cartoons best_AV0 [CAM.194]

Adjective vs. noun
There are many words in English which can be tagged either adjective (AJ0) or noun (NN1). Colour words like black, white and red are fairly consistent in allowing the two tags, and may be used to illustrate the difference. In attributive (premodifying) or predicative (complementing) positions without further modification these words are normally adjectives:

a white_AJ0 screen, The screen is white_AJ0.

When the word is the head of a noun phrase, on the other hand, it is a noun:

Red_NN1 is my favourite colour.
They painted the wall a brilliant white_NN1.

Sometimes a word cannot be used predicatively as an adjective, but can occur attributively in a way which suggests adjectival use. For example, past and present are adjectives in

All past_AJ0 and present_AJ0 employees of the branch are invited. [K99.216]

We do not find present or similar words being used as predicative adjectives, however:

*These needs are past, present, and future.

(Note that present can be used as a predicative adjective meaning the opposite of absent; but this meaning is not comparable to the temporal meanings of past, present and future above.)

Contrast K99.216 above with cases where past, present etc. are heads of noun phrases, e.g. following the definite article, and are clearly nouns:

You're living in the past_NN1. [HGS.1045]
I don't even want to think about the future_NN1. [JY4.2864]

The only reason for treating past and present in the example above as adjectives is that they have an institutionalized meaning as modifiers, which is rather different from the meaning they have as nouns. Further examples of this type are words such as model in model behaviour, giant in a giant caterpillar and vintage in vintage cars.

Words ending in -ing are a particular problem: when they premodify a noun, they can be tagged either NN1 (noun) or AJ0 (adjective). Contrast:

new spending_NN1 plans [CEN.5922]
a working_AJ0 mother [ED4.153]
his reading_NN1 ability [CFV.1897]
in the coming_AJ0 weeks [HKU.1333]

The guideline is as follows. If X-ing + Noun is equivalent in meaning to Noun who/which X-es (or X-ed or BE + X-ing), then X-ing is an adjective (AJ0). That is, a word ending -ing is an adjective when it is the notional subject of the noun it premodifies. For example:

two smiling_AJ0 children [HTT.743] ('two children who are smiling')

In other cases, X-ing is generally a noun (NN1). In such cases, it is often possible to paraphrase X-ing + Noun by a more explicit phrase in which X-ing is clearly a noun:

new spending_NN1 plans ('new plans for spending')
his reading_NN1 ability ('his ability in reading')

Further examples:

a mating_AJ0 animal [GU8.2142]
the mating_NN1 game [ECG.336 *AJ0-NN1]
a falling_AJ0 rate of unemployment [KR2.2129]
slimming_NN1 tablets. [KCA.941 *NN1-VVG]

Determiner-pronoun vs. adverb
More and less can be assigned to either of the tags DT0 or AV0. The difference between them is that DT0 is for noun-phrase-like (and determiner-like) uses of the word in question, whereas AV0 is for adverbial uses. The two can be hard to distinguish, particularly after a verb:

(a) You should relax more_AV0.
(b) You should spend more_DT0.

Since relax is an intransitive verb in (a), more cannot be a noun phrase following it. Instead, more can be paraphrased roughly as 'to a greater extent' or 'to a greater degree'. On the other hand, spend in (b) is a transitive verb, and so more is a determiner-pronoun form following it. As confirmation of this, note that sentence (b) could be turned into a passive with more as subject: More should be spent.... There are unfortunately some verbs for which the distinction is less clear than in the above examples, e.g.:

You should eat more.
You should read more.
You should smoke less.

In these cases, the verb may be used transitively or intransitively with almost identical meanings, so that the syntactic structures of the immediate and/or surrounding context are the only clues as to which is the case:

Do you smoke? (Intransitive)
How many do you smoke in a week? (Transitive)

Contrast (c) and (d) below:

(c) At the moment we have 23 fixtures per season. Personally, I would rather play more_DT0.
(d) You should work less and play more_AV0.

(In (d) the adverb more has roughly the meaning of 'more often'.)

Note. The automatic disambiguation of determiners and adverbs is not reliable, because transitivity has not been encoded in the tagger. Sentences like (c) and (d), where more follows the verb at end of a sentence, are invariably tagged AV0.

Adjective vs. participle

Another area of borderline cases is the tagging of words as adjectives (AJ0) or as participles (VVG or VVN).

One test is to see whether a degree adverb like very can be inserted in front of the word: e.g. in We were very surprised, surprised is an AJ0.

Another test, having the opposite effect, is to see whether there is an agent by-phrase following the word in -ed or -en. If so it is a VVN:

We were surprised_VVN by pirates.

Even where it is not present, the possibility of adding the by-phrase, without changing the meaning of the word, is evidence in favour of VVN. (However, this criterion can clash with the preceding one — since it occasionally happens that an -ed word is both preceded by an adverb like very and followed by a by-phrase: E.g. I was so irritated by his behaviour that I put the phone down. When these do occur, we give preference to AJ0.)
A third test is negative: to see whether the word in question can be placed before a noun. e.g.:

The effect is lasting_AJ0 (compare a lasting_AJ0 effect).
The door is locked_AJ0 (compare the locked_AJ0 door.)

This shows that lasting or locked can easily be (but need not be) an AJ0. If the word could not be placed (with the same meaning) before the noun, this would be evidence that the word is a participle.
Even though an -ing word is normally a VVG after the verb be, it is generally treated as an AJ0 before a noun:

The man was dying_VVG. [HTM.1494 *VVG-AJ0]
the dying_AJ0 man. [FSF.1787]

However, when the -ing or -ed forms part of a premodifying phrase, the VVG or VVN tag is preferred:

an interest_NN1 earning_VVG account
a hypothesis_NN1 driven_VVN approach

In these examples the NN1+VVG/VVN sequence has the character of a premodifying adjective compound. We can therefore imagine the two words bracketed together forming an adjective: an interest-earning_AJ0 account. But within the adjective, the VVG and VVN tags retain their verbal character, with the initial noun acting as object of the verb (cf. the account earns interest).

The same applies when the premodifying compound phase is noun-like:

a shanty_NN1 singing_VVG competition[K4W.2952]

If the verb be can be replaced by another verb such as seem or become, without changing the meaning of the following AJ0 / VVN word, this is a strong indication that the construction is not properly a passive, and that the word is an AJ0:

The building was infested_AJ0 with cockroaches
(cf.: The building seemed/became infested with cockroaches)

A further distinction which can be used to test with 'event' verbs is that the AJ0 refers to a 'resultant state', whereas the VVN refers to an event:

Bill was married_AJ0. (i.e. he was not single)
Bill was married_VVN to Sarah on the 15th May. (i.e. the actual event)

This is a manifestation of the general semantic character of adjectives (which typically refer to states or qualities) and verbs (which typically refer to events or actions).
However, this criterion is not definitive, as VVG and VVN can also sometimes refer to states, when the meaning of the verb is stative:

She is not disturbed_VVN by that sort of threat.
The tourists were standing_VVG around a map of the city.

Finally, here is a test which clearly identifies an -ing form as a verb. A verb takes following complements such as a noun phrase, an adjective or an adverbial. These cannot follow the same word as adjective. E.g.:

Are you expecting_VVG someone?[G01.2610]
The arithmetic is looking_VVG good. [K1M.3611]
Turning_VVG suddenly, she ran for the safety of the car [CK8.297]

Contrast:

His manner was insulting_AJ0.

where insulting could not normally be followed by an object:

* insulting us.

Preposition vs. prepositional adverb vs. general adverb
This kind of ambiguity occurs frequently, particularly in spoken texts. Compare:

(a) She ran down_PRP the hill.
(b) She ran down_AVP her best friends.

In (a), down is a preposition, because:
  • An adverb could be inserted before it:

    She ran quickly down the hill.
    (But not: *She ran viciously down her best friends.)

  • It can be moved (somewhat awkwardly) to the front of a wh-word:

    This is the hill down_PRP which he ran.
    Down_PRP which slopes do you like ski-ing?

In (b), down is an adverbial particle because:
  • It can be placed before or after the noun phrase acting as object of the verb:


    She ran her best friends down_AVP.
    (But not: *She ran the hill down.)

  • If the noun phrase is replaced by a pronoun, the pronoun has to be placed in front of the particle:

    She ran them down_AVP. (= her best friends)
    (But not: *She ran down them.)

    Similarly:

    The dentist took all my teeth out_AVP. (The dentist took them out)

Notice that the syntactic distinction between (for example) down as an adverbial particle and down as a preposition is independent of the semantic distinction between locative and non-locative interpretations of down.

When the verb is simply followed by down or out, etc., without a following noun phrase, it is normally an AVP:

Income tax is coming down_AVP.
The decorations are put up_AVP on Christmas Eve.

However, it is important to recognize 'stranded' prepositions, which have been deprived of the company of their noun phrase, the prepositional complement, because it has been fronted or omitted through ellipsis (e.g. in relative clauses, with passives, in questions, etc.):

This is the hill (which) she ran down_PRP.
(Cf. This is the hill down which she ran.)
The poor were looked down on_PRP by the rich.
(Here on is the stranded preposition)
Which car did she arrive in_PRP?

The same tests apply to words which are tagged either as prepositions or as general adverbs (AV0), such as across, past and behind.

Note, additionally, the use of about as a degree adverb.

Interjection vs. unclassified

The borderline between interjections or exclamatory particles (tagged ITJ) and unclassified 'noise' words (tagged UNC) is drawn as follows:

ITJ is used for 'institutionalized' interjections or discourse particles such as good-bye, oh, no, oops, hallelujah, whoa, wow ; however Well, right and like functioning as discourse markers are tagged AV0.

UNC is used in contexts where no other wordclass tag seems appropriate:
  • 'noise' words and pause fillers in spoken utterances; this includes imitations of animal or machine sounds:

    blah_UNC blah_UNC blah_UNC
    er_UNC I think so.
    Erm_UNC nope_ITJ.

  • certain fused forms which cannot easily be broken down into separate word classes:

    methinks_UNC.
    ai_UNC n't_XX0

  • constituent <w> elements within multiword expressions for which no unique C5 code can be found

The contraction ain't is a special case: its first half is tagged UNC because it abbreviates so many different verb forms (am not, is not, are not, has not, have not) that no single tag can be applied to it (unless one were to invent a special tag for that purpose).

Disambiguation by Word
In this section we discuss some common words which belong to more than one word class, and are among the most problematic for disambiguation. As in section 3, if the tag stated in the example differs from the actual tag in the corpus, we append the latter to the file reference number in the next line. Eg *AV0 in

Tears well_VVB up in my eyes. [BN3.5 *AV0]

apostrophe 'S
In the BNC the apostrophe 's is generally tagged as a separate wordform, following without a space the immediately preceding word.
Contracted forms
When it represents a shortened form of is, has or (rarely) does, it has the appropriate verb tag. Occasionally, for example with auxiliaries followed by past participles, there are difficulties determining what the full form of the verb should be. Examples:

That_DT0's_VBZ perfect is that one... (= That is...) [KCX.1254]
She_NP0 's_VHZ got tickets. (= She has...) [KPV.6479]
well, what_DTQ 's_VDZ he do?, is he a plumber? (= What does...) [KD6.310]

Genitives
Britain_NP0's_POS small businesses [HMH.67]
After today_AV0's_POS announcement [K6F.39]
's plural
When 's acts as a marker of the -s plural, or as part of the verb form let's, it is part of a single word, and is not assigned its own tag. E.g.:

success in the three R_ZZ0's [EVY.59]
in the 1980_CRD's [HJ1.22024]
Let_VM0's go_VVI. [A61.1443]

Note that let's is not considered a contraction of let us, but is treated as a single 'verbal particle', tagged VM0, on the grounds that it is closely analogous to modal auxiliaries.

ABOUT
Degree adverb:
When about has an approximating meaning, typically premodifying a quantifying expression, it is tagged AV0 (not PRP):

...it was about_AV0 three weeks ago [FAJ.1714]
about_AV0 half the size of a grain of rice [AJ4.33]

Note also the multiword just about, as in:

We're just about_AV0 ready.

Preposition vs. particle:
See further at Preposition vs. prepositional adverb vs. general adverb
Examples:

my mother was reading a novel about_PRP gypsies... . [ARJ.2068]
How did this transformation come about_AVP? [A11.786]

AS
Comparative constructions:
As is a degree adverb (AV0) when it occurs before an adjective, adverb or determiner (and sometimes other words) in phrases of the type as X as Y, or simply as X (where the comparative clause or phrase as Y) is omitted but understood:

I go to see them as_AV0 often as I can . [AC7.1189]
and they employ ninety people, twice as_AV0 many as last year. [K1C.3540]
And every bit as_AV0 good .[EEW.1132 *CJS]

In the first and second examples above, the second as introduces a comparative construction which expresses 'equal comparison', as contrasted with the unequal comparison of more X than Y. When as is a word introducing such a comparative construction, it is tagged CJS:

Capitalism is not as_AV0 good as_CJS it claims. [CFT.2042]
Linked together, they can crunch numbers as_AV0 fast as_CJS any mainframe.[CRB.271]
She will deposit as_AV0 many as_CJS a dozen eggs there. [F9F.424]

Notice that as in this comparative use is tagged CJS whether or not it introduces a clause. Often it introduces a noun phrase. In the following example, it introduces an adjective:

always reply as_AV0 quickly as_CJS possible. [C9R.989]

Introducing other clauses:
The tag CJS is also used when introducing other subordinate clauses, such as adverbial clauses of time or reason:

New York called just as_CJS I was leaving. [APU.1543]
As_CJS you've gone to so much trouble , it would seem discourteous to refuse [KY9.2107]

Preposition:
The tag PRP is used for as functioning clearly as a preposition:

Consider it as_PRP a kind of insurance [AD0.1641]
As_PRP head of information, Christina will lead a team of four TEC staff... [BM4.2830]

Usually the meaning is related to the equative meaning of the verb be. However, the guideline restricts PRP to cases where as is followed by the normal noun phrase or nominal, as is normal for prepositions. Where the as is followed by an adjective or a past participle clause, it is tagged CJS, even though it may retain the equative type of meaning:

We regard these results as_CJS encouraging. [B1G.184]
I very much hope that you will in fact support the motion as_CJS originally intended. [KGX.93]

Multiwords:
As is part of many multiwords which get tagged with a single tag: e.g. as soon as, such as, in so far as, as long as, as well as. The sequence as well as, for example, is tagged as a preposition (PRP) in such examples as

Sometimes as well as_PRP going this way we actually need to go in this was too. [G5N.31]

Note that this is different from the multiword adverb as well (meaning also); it is also different from the sequence of as well as as three separate words, e.g. in:

She's as_AV0 well_AJ0 as_CJS can be expected. [F9X.2095]

BUT
The coordinating conjunction CJC is overwhelmingly the most common use of but. The following other cases can also be detected:
Adverb:
But is an adverb when its meaning is similar to 'only':

She can spare you but_AV0 a few minutes [CCD.82 *CJC] There is but_AV0 one penalty. [ALS.185 *CJC]

Subordinating conjunction or preposition:
But is either a conjunction (CJS) or a preposition (PRP) if it has the meaning of 'except (for)', 'other than' or 'apart from'. CJS is used when it introduces a clause, and PRP is used when it introduces a phrase:

...mediocre albums that do nothing but_CJS take up shelf space [C9M.1014]
I couldn't help but_CJS notice. [JY0.5323 *CJC]
I always feel they are open meetings in everything but_PRP name. [HJ3.5520]
No one had guessed she was anything but_PRP a boy. [C85.517]

Coordinating conjunction:
Otherwise but is a coordinating conjunction, tagged CJC, linking units of the same kind (e.g. clauses or adjective/adverb phrases). Its function is to express contrastive or 'adversative' meaning:

God and minds do exist , but_CJC materially so . [ABM.1265]
And that's it for another week but_CJC don't forget the late news at eleven thirty. [J1M.2520]
Hares ( but_CJC not rabbits ) are particularly vulnerable... [B72.892]

Multiwords
Note also multiwords such as but for (PRP):

The fare increases would have been bigger but for_PRP the governments last minute intervention. [K6D.124]

HOME
As a locative adverb, home has no determiner or article preceding:

We stayed home_AV0. [FAP.313]
This is my home_NN1. [AMB.1805]

LIKE
Discoursal function:
In speech, when like has a discoursal function as a 'hedge', we tag it AV0:

well she says like_AV0, I won't be a minute [KCY.1518]
I'm driving along, you know like_AV0 <trunc> wha</trunc> when you're in the car by yourself and everything's turning over in your head [KBU.1096]

Other functions:
Like very frequently occurs as a preposition or as a verb. The noun and adjective uses are fairly rare:

...but I like_VVB Monday best. [FU4.1089]
He didn't look like_PRP a goodie. [H0M.1353]
... fuel, weapons, ground crew and the like_NN1. [JNN.105 *AJ0-NN1]
Churchill and Eden were not of like_AJ0 minds... [ACH.1297]

LITTLE
Adjective:
The meaning of little (AJ0) is the opposite of big:

Bless their dear little_AJ0 faces. [HRB.722]
Little_AJ0 green shoots of recovery are stirring. [CEL.968]

Determiner-pronoun:
The meaning of little (DT0) is 'not much':

I have little_DT0 to say. [G1Y.1133]
...there was little_DT0 food left. [FSJ.720]

Adverb:
As an adverb (AV0) little also has the meaning 'not much':

I care very little_AV0 about petty-minded, selfish "rules". [B0P.211]

A little
Note that a little can also be a multiword adverb (AV0):

They are all a little_AV0 drunk. [G0F.2117]

However, the quantifier a little meaning 'a small amount' is not tagged as a multiword 3 but as AT0 + DT0

You couldn't let me have a_AT0 little_DT0 milk? [GUM.1656]

[See Determiner-pronoun vs. adverb ]
MUCH
Determiner-pronoun:

Much_DT0 of this work has to be done on the spot. [C8R.24]
I've spent too much_DT0 money. [KPV.62659]

Adverb:

Thanks very much_AV0. [A73.5]
I didn't sleep much_AV0 last night [ALH.1495]

See also Determiner-pronoun vs. adverb

MORE and LESS
See Determiner-pronoun vs. adverb for a fuller discussion. Further examples:

You deserve more_DT0 than a medal. [K97.3705]
More_DT0 haste, less_DT0 speed. [J10.4543]
...this will make him more_AV0 tired than usual [A75.282]
But I couldn't agree more_AV0 [BMD.3]

More than as a multiword premodifier counts as an AV0:

more than_AV0 one in a million [K5N.46]

NO
Article

No_AT0 problem_NN1. [H4H.227]

Noun
As a noun, no is usually an abbreviation for number:

quoting Ref_NN1 No_NN1 BCE90_UNC [CJU.673]

Adverb

but the matter was taken no_AV0 further_AV0. [ARF.183 no: *AT0]
To put it no_AV0 more_AV0 strongly_AV0, it has not been proved beyond doubt that.... [EW7.125]

Interjection:
No is tagged as an interjection (ITJ) where it functions as the opposite of Yes.

"...See how easy my job can be?"
"Frankly, no_ITJ". [HR4.2329]

ONE
Numeral:
The clearest cases of CRD are in a quantifying noun phrase, typically allowing the substitution of another numerical expression (e.g. one chip contrasts with two chips) or of the digit 1 (1 chip):

Can I have one_CRD chip, please? [KDB.1416]
So are there criticisms? Just one_CRD. [CG2.1489]
... one_CRD in five sufferers never tells their partners. [CF5.8 *PNI]
Orford Ness is one_CRD of Britain's most unusual coastal features. [CF8.86]

In such noun phrases, one functions like a determiner-pronoun such as some.
Indefinite Pronoun:
The clearest cases of PNI are:
  • (a) As a substitute form, standing for an understood noun or noun phrase:

    The channel was not a broad one_PNI [AEA.1457]

    In this use, one has a plural form ones.
  • (b) As a generic personal pronoun, meaning 'people in general':

    And I think one_PNI might go on to argue that far from saving labour it creates it. [J17.1915]

Note that the reliability of the ambiguity tag PNI-CRD (in which the pronoun is rated more likely) is somewhat low. See POS-tagging Error Rates

RIGHT

As both an adverb (AV0) and an adjective (AJ0) right means the opposite of 'wrong' and also the opposite of 'left'. As a noun, it generally means 'entitlements': e.g. I have a right_NN1 to know. The uses of right as a verb are very rare.

Less obvious points:
Discoursal function:
As a discourse marker, right is tagged AV0:

Right_AV0, how you doing there? [KBL.4671]
Right_AV0, er, members, any questions ? [F7V.138]

Degree adverb (intensifier):
In dialectal usage, right can be an intensifier, and is tagged AV0:

it's a ... it's a right_AV0 soft carpet. [KB2.1242-4]

SO
  • In most cases so is tagged as an adverb (AV0):

    So_AV0 this is where you work... [H8M.2964]
    Right, so_AV0 what's fifty three per cent as a decimal? [JP4.357]
    They waited but nothing happened so_AV0 they made a fuss. [FU1.2484]

  • As a pro-form meaning 'thus' or standing for a clause or predicate, so is tagged AV0:

    So_AV0 say I and so_AV0 say the folk. [G11.228]
    "Yes, I think so_AV0." [CCM.151]

  • As a degree adverb or intensifier, so is tagged AV0:

    tough and long lasting - that's why they're so_AV0 popular. [BN4.929]
    There would not be so_AV0 many lonely people in our land [B1Y.1262]

  • Introducing purpose clauses, so is tagged CJS (subordinating conjunction):

    Drink your tea so_CJS they can have your cup. [KB2.1767]

  • Note that so is frequently part of a multiword: so that, so far, so as to, (in) so far as, etc. See the list of multiwords
THAT
  • As a demonstrative (pronoun or determiner), that is tagged DT0

    That_DT0's_VBZ my coat yeah. [KBS.1309]
    he's getting hooked on the taste of vaseline, that_DT0 dog. [KCL.197]

  • As a clause-initiating conjunction, that is tagged CJT. This applies to that as a complementizer:

    Many experts claim that_CJT it is good for your growing baby, too. [G2T.1091]

    and also to that as a relativizer (introducing a relative clause):

    A ship that_CJT never enters harbour. [BPA.1326]

    This is different from the more traditional analysis which treats that introducing a relative clause as a relative pronoun.
  • As a degree adverb (intensifier):

    It wasn't all that_AV0 bad. [KPP.321]

  • That occurs commonly in multiwords such as so that, in that, in order that.
THEN
In all functions except clear adjectival usage (AJ0, usually following the), then receives the tag AV0:

And then_AV0 she spoke. [H8T.2675]
"Come on, then_AV0." [K8V.1722]
Mr Willi Brandt, the then_AJ0 Mayor of West Berlin. [A87.84]
...the then_AJ0 state governor , who wasn't then_AV0 Bill Clinton [A87.84]

TO
Infinitive marker
When used with an infinitive, to is always tagged TO0. Note elliptical uses of the pre-infinitival to, especially in informal spoken texts:

In the summer holidays, I can, I can get up early if I want to_TO0. [KPG.4153]

Note also the common colloquial spelling of want to, got to, and going to as fused words:

wanna = wan_VVB na_TO0
gotta = got_VVN ta_TO0
gonna = gon_VVG na_TO0

Preposition
When used as a preposition, to is always tagged PRP. Prepositions are normally followed by a noun phrase or nominal clause. Where the preposition is 'stranded' (i.e. where the noun phrase associated with the preposition has been moved or ellided ) it can be confused with an adverbial particle:

That 's the school that Terry goes to_PRP. [KB8.2442]
...what you're entitled to_PRP by law is money back [FUT.360]
"Where to_PRP?""The_PRP moon." [FNW.240-1]

Adverbial particle
The adverbial particle to is rare but does occur, for example in come to meaning 'regain consciousness'.
WELL
Adverb
By far the most common function for well is as an adverb:

She's playing well_AV0

Discoursal function:
When well has the function of a discourse marker, it is treated as an adverb (AV0):

Oh well_AV0! That'll be the finish! [FX6.196-7]
I bet he doesn't get up till about, well_AV0, it's eleven now. [KBL.3808]

Degree adverb:
Well is tagged AV0, too, where it has an intensifying function: e.g.

It was dark outside and well_AV0 past your bedtime. [ASS.898]

Adjective
Well is tagged as an adjective where it means 'in good health':

You don't look well_AJ0. [HPR.107]

Verb
As a verb, well is very rare, but occurs in the phrasal verb well up. NB. This use has not been accurately tagged in the corpus:

Tears well_VVB up in my eyes. [BN3.5 *AV0]

WHEN
When can introduce three types of clauses: an adverbial clause, a nominal clause, or a relative clause. Where it introduces an adverbial clause, it is tagged CJS. Otherwise it is tagged AVQ. The AVQ tag is also used for when introducing a question. Examples:
Adverbial clause:

When_CJS I got back to my flat, I decided to ring Toby. [CS4.1265]
the crowd left quietly when_CJS the police arrived. [APP.1017] (when = at the time at which)
If you smoke when_CJS you're pregnant... [A0J.1598] (when = whenever)

Note that when is also a subordinating conjunction in abbreviated adverbial clauses which lack a subject and finite verb, such as when in doubt, when ready, when completed.
Nominal clause

I can't remember when_AVQ we last had a frost. [KBF.11728]
"Do you remember when_AVQ we used to go with Daddy in the boat on Saturdays?" [A6N.2022]
You never know when_AVQ the next big story will break. [HJ6.100]

Before an infinitive, when is also tagged AVQ:

Otto knew when_AVQ to change the subject. [FAT.1603]

Also when the rest of the infinitive clause is understood:

Tell me when_AVQ.

Relative clause

in the year when_AVQ I was born (when = in which)
the moment when_AVQ he arrived (when = at which)

Note that when can often be omitted in relative clauses: the moment he arrived.
Direct questions

When_AVQ did you find out?

WHERE
Where is like when in that it can be a wh- adverb (AVQ) or a subordinating conjunction (CJS). However, with where the CJS tag is much less likely. Examples:
In adverbial clauses

...to hit him where_CJS it hurts. [CEN.2816]

In other contexts
  • Nominal clause:

    I don't know where_AVQ she picked them up. [G1D.1163]

  • Relative clauses

    It was the house where_AVQ the poor woodcutter lived with Hansel and Gretel

  • Direct questions:

    Where_AVQ are you going? [KB9.2650]

WORTH
Preposition
worth is tagged PRP where it could answer a question such as 'How much is X worth?' or 'What is X worth?'

these pictures are worth_PRP a small fortune. [FNT.1060]
That makes him worth_PRP about $60m. [CT3.479]
'Darling, it's not worth_PRP getting upset. [HH9.2308]

worth also occurs as a 'stranded preposition' in questions used to elicit such responses, and in some other common constructions:

how much d'ya think it's worth_PRP? [KCX.1344]
share prices say nothing about what a company is worth_PRP. [A9U.305 *NN1]
Please go ahead and push Grapevine for all you are worth_PRP. [AP1.575]

Noun
worth is tagged NN1 when it is an obvious noun (meaning 'value'). Typically this occurs following expressions of quantity, whether or not the quantity is expressed by a possessive or genitive (e.g. its, 's).

Baker showed his worth_NN1 for Ipswich in the 20th minute [CF9.102]
hundreds of pounds' worth_NN1 of damage. [A0H.15]
£2,500 WORTH_NN1 OF PRIZES [ECJ.1147]

Features of spoken corpus tagging

The spoken and written texts of the BNC have been tagged in the same way, except that the following phenomena occur almost entirely in the spoken part of the corpus.
Individual letters
Words spelt out by a speaker as individual letters have been transcribed letter by letter, each being tagged ZZ0.

children who go to the E_ZZ0 N_ZZ0 T_ZZ0 clinic [KB8.3805]
...ten ninety minute tapes! T_ZZ0 D_ZZ0 K_ZZ0 tapes! [KPG.3534-5]

In the written corpus these items would nearly always be written and tagged as whole words (ENT or TDK in the above example).

Truncated words
Words that are left incomplete by the speaker are enclosed within an XML <trunc> element and tagged UNC. Examples include bathr and su in the following

The <trunc> bathr_UNC </trunc> er you can't beat a white bathroom suite anyway. [KCF.721]
Aye, they only came in the <trunc> su_UNC </trunc> they only came up here in the summer. [GYS.127]

Partial repetition of multiwords
Occasionally in spoken data it happens that only a portion of a multiword sequence is repeated. In this example, the word sort is used twice; in both cases it appears to function not as a separate word but as part of the multiword adverb sort of.

we're going to sort sort of summarize... [G5X.106]

We treat the first sort as an incomplete multiword, and tag it UNC (rather like truncated words, above). The complete multiword sort of is tagged AV0, as normally.

we're going to sort_UNC sort of_AV0 summarize...

Further examples of incomplete multiwords are the as long in as long as (conjunction), of in because of (preposition) and the in in in general (adverb) below

As_UNC long_UNC As_CJS long as everyone recognizes that for an area of that size... [J9T.258]
because_PRP of the <pause> of_UNC the drought. When we were away it didn't get watered in. [KCH.982]
I know that in_UNC in_UNC in_AV0 general, in in in erm, imperial measure, it is <trunc> f </trunc> five feet eight inches [JK1.480]

The second example shows that when words are repeated, the incomplete portion of a multiword is not necessarily immediately adjacent to the fully formed multiword. In the last example, the three instances of in before erm, imperial measure have not been analysed as part of the multiword in general; they are instead tagged as ordinary words (in this case, ambiguous between preposition and prepositional adverb: PRP-AVP). There are a few cases where the tagger has probably been over-zealous in spotting repeated portions of multiwords:

What happens now_UNC, now_CJS that you are winched down? [HEF.9]

Here, the first instance of now would probably have better been interpreted as a single word adverb (='at this time'), not part of the multiword conjunction now that4.
Er and erm inside multiwords
Generally (in both written and spoken texts) the pause fillers er and erm take the tag UNC. This applies also when they appear within a multiword sequence, as in every er so often. The code assigned to the surrounding <mw> element is identical to that which would have been assigned if the filler were not present.

And your homework was handed in every er so often_AV0, you know [G64.152]

something had gone wrong with the <pause> gas pipes because erm of_PRP <pause> flooding. [KB8.5356]

these kind of books were, er, generally er, at , at er best_AV0 ignored [HUN]

Note that in the last example the word at preceding the multiword at er best is treated as a partial repetition of that multiword, and therefore tagged UNC.

POS-tagging Error Rates

This section reports on the accuracy of the results of the improved tagging programs.

Levels of estimation

Based on the findings from the 50,000-word test sample, the estimated ambiguity and error rates for the BNC are shown below in three different degrees of detail.:
  • (a) First, as a general assessment of accuracy, the estimated rates are given for the whole corpus. (See Table 23. Estimated ambiguity and error rates for the whole corpus (fine-grained calculation) below.)
  • (b) Secondly, separate estimates of ambiguity rates and error rates are given for each of the 57 word tags in the corpus. This will enable users of the corpus to assign appropriate degrees of reliability to each tag. Some tags are always correct; other tags are quite often erroneous. For example, the tag VDD stands for a single form of the verb do: the form did. Since the spelling did is unambiguous, the chances of ambiguity or error, in the use of the tag VDD, are virtually nil. On the other hand, the tag VVB (base finite form of a lexical verb) is not only quite frequent, but also highly prone to ambiguity and error. 15 per cent of the occurrences of VVB are errors - a much higher error rate than any other tag. (See Table 25. Estimated ambiguity rates and error rates by tag below.)
  • (c) Thirdly, separate estimates of ambiguity rates and error rates are given for ‘wrong-tag--right-tag’ pairings XXX, YYY, consisting of (i) the actually-occurring erroneous tag XXX, and (ii) the correct tag YYY which should have occurred in its place. However, because the number of possible tag-pairs is large (572), and most of these tag-pairs have few or no errors, only the more common pairings of erroneous tag and correct tag are separately listed, with their estimated probability of occurrence. This list of tag-pairings will help users further, in enabling them to estimate not merely the reliability of a tag, but, if that tag is incorrect, the likelihood that the correct tag would have been some other particular tag. In this way, the frequency of grammatical word classes, or individual words in those classes, can be estimated more accurately for the whole BNC. (See Table 26. Estimated frequency of selected tag-pairs below.)

Presentation of Ambiguity Rates and Error Rates (fine-grained mode of calculation)

In this section, we examine ambiguities and errors using a ‘fine-grained’ mode of calculation, treating each error as of equal importance to any other error. In Presentation of Ambiguity and Error Rates (coarse-grained calculation) we look at the same data in terms of a ‘coarse-grained’ mode of calculation, ignoring errors and ambiguities involving subcategories of the same part of speech.

Overall estimated ambiguity and error rates: based on the 50,000 word sample

As the following table shows, the ambiguity rate varies considerably between written and spoken texts. (However, note that the calculation for speech is based on a small sample of 5,000 words.)

Table 23. Estimated ambiguity and error rates for the whole corpus (fine-grained calculation)
Sample tag count Ambiguity rate (%) Error rate (%)
Written texts 45,000 3.83% 1.14%
Spoken texts 5,000 3.00% 1.17%
All texts 50,000 3.75% 1.15%

It will be noted that written texts on the whole have a higher ambiguity rate, whereas spoken texts have a slightly greater error rate.

The success of an automatic tagger is sometimes represented in terms of the information-retrieval measures of precision and recall, rather than ambiguity rate and error rate as in Table 23. Estimated ambiguity and error rates for the whole corpus (fine-grained calculation). Precision is the extent to which incorrect tags are successfully discarded from the output. Recall is the extent to which all correct tags are successfully retained in the output of the tagger, allowing, however, for more than one reading to occur for one word (i.e. ambiguous tagging is permitted). According to these measures, the success of the tagging is as follows:

Precision Recall
Written texts 96.17% 98.86%
Spoken texts 97.00% 98.83%
All texts 96.25% 98.85%

However, from now on we will continue to use ‘ambiguity rate’ and ‘error rate’, which appear to us more transparent.

Estimated ambiguity and error rates for each tag (fine-grained mode of calculation)

The estimates for individual tags are again based on the 50,000 sample, and the ambiguity rate for each tag is based on the number of ambiguity tags which begin with a given tag. The table also specifies the estimated likelihood that a given tag, in the first position of the ambiguity tag, is the correct tag.

In Table 25. Estimated ambiguity rates and error rates by tag, column (b) shows the overall frequency of particular tags (not including ambiguity tags). Column (c) gives the overall occurrence of ambiguity tags, as well as of particular ambiguity tags, beginning with a given tag. (Ambiguity tags marked * are less ‘serious’ in that they apply to two subcategories of the same part of speech, such as past tense and past participle of the verb - see 4.1 below.) Column (d) shows which tags are more or less likely to be found as the first part of an ambiguity tag. For example, both NP0 and VVG have an especially high incidence of ambiguity tags. Column (e) tells us, given that we have observed an ambiguity tag, what is the likelihood of the first tag’s being correct? Overall, there is more than a 3-1 chance that the first tag will be correct; but there are some exceptions, where the chances of the first tag’s being correct are much lower: for example, PNI (indefinite pronoun). Note that (f) and (g) exclude errors where the first tag of an ambiguity tag is wrong; contrast Table 28. Estimated error rates for the whole corpus, and Table 29. Estimated error rates (by tag) column (c), below.

Table 25. Estimated ambiguity rates and error rates by tag
(a) Tag (b) SingleTag count (out of 50,000 words) (c) Ambiguity Tag count (out of 50,000 words) (d) Ambiguity rate (%)(c / b + c) (e) 1st tag of ambiguity tag correct (% of all ambiguity tags) (f) Error count (g) Error rate (%)(f / b)
AJ0 3412 all 338 9.01% 282 (83.43%) 46 1.35%
(AJ0-AVO 48)
(AJ0-NN1 209)
(AJ0-VVD 21)
(AJ0-VVG 28)
(AJ0-VVN 32)
AJC 142 0.0% 4 2.82%
AJS 26 0.0% 2 7.69%
AT0 4351 0.0% 2 0.05%
AV0 2450 all 45 1.80% 37 (82.22%) 57 2.33%
(AV0-AJ0 45)
AVP 379 all 44 10.40% 34 (77.27%) 6 1.58%
(AVP-PRP 44)
AVQ 157 all 10 5.99% 10 (100.00%) 9 5.73%
(AVQ-CJS 10)
CJC 1915 0.0% 3 0.16%
CJS 692 all 39 5.34% 30 (76.92%) 18 2.60%
(CJS-AVQ 26)
(CJS-PRP 13)
CJT 236 (all) 28 10.61% 3 1.27%
(CJT-DT0 28 )
CRD 940 all 1 0.11% 0 (0.00%) 0 0.00%
(CRD-PNI 1)
DPS 787 0.0% 0 0.00%
DT0 1180 all 20 1.67% 16 (80.00%) 19 1.61%
(DT0-CJT 20)
DTQ 370 0.0% 0 0.00%
EX0 131 0.0% 1 0.76%
ITJ 214 0.0% 2 0.93%
NN0 270 0.0% 10 3.70%
NN1 7198 all 514 6.66% 395 (76.84%) 86 1.19%
(NN1-AJ0 130)
(NN1-NP0 92)*
(NN1-VVB 243)
(NN1-VVG 49)
NN2 2718 all 55 1.98% 48 (87.27%) 30 1.10%
(NN2-VVZ 55)
NP0 1385 all 264 16.01% 224 (84.84%) 31 2.24%
(NP0-NN1 264)*
ORD 136 0.0% 0 0.00%
PNI 159 all 8 4.79% 3 (37.50%) 5 3.14%
(PNI-CRD 8)
PNP 2646 0.0% 0 0.00%
PNQ 112 0.0% 0 0.00%
PNX 84 0.0% 0 0.00%
POS 217 0.0% 5 2.30%
PRF 1615 0.0% 0 0.00%
PRP 4051 all 166 3.94% 154 (92.77%) 24 0.59%
(PRP-AVP 132)
(PRP-CJS 34)
TO0 819 0.0% 6 0.73%
UNC 158 0.0% 4 2.53%
VBB 328 0.0% 1 0.30%
VBD 663 0.0% 0 0.00%
VBG 37 0.0% 0 0.00%
VBI 374 0.0% 0 0.00%
VBN 133 0.0% 0 0.00%
VBZ 640 0.0% 4 0.63%
VDB 87 0.0% 0 0.00%
VDD 71 0.0% 0 0.00%
VDG 10 0.0% 0 0.00%
VDI 36 0.0% 0 0.00%
VDN 20 0.0% 0 0.00%
VDZ 22 0.0% 0 0.00%
VHB 150 0.0% 1 0.67%
VHD 258 0.0% 0 0.00%
VHG 16 0.0% 0 0.00%
VHI 119 0.0% 0 0.00%
VHN 9 0.0% 0 0.00%
VHZ 116 0.0% 1 0.86%
VM0 782 0.0% 3 0.38%
VVB 560 all 84 13.04% 56 (66.67%) 84 15.00%
(VVB-NN1 84)
VVD 970 all 90 8.49% 62 (58.89%) 50 5.15%
(VVD-AJ0 11)
(VVD-VVN 79)*
VVG 597 all 132 18.11% 112 (84.84%) 9 1.51%
(VVG-AJ0 83)
(VVG-NN1 49)
VVI 1211 0.0% 7 0.58%
VVN 1086 all 158 12.70% 113 (71.52%) 27 2.49%
(VVN-AJ0 50)
(VVN-VVD 108)*
VVZ 295 all 26 8.10% 14 (53.85%) 11 3.73%
(VVZ-NN2 26)
XX0 363 0.0% 0 0.00%
ZZ0 75 0.0% 3 4.00%
Estimated error rates specifying the incorrect tag and the correct tag (fine-grained calculation)

The next table, Table 26. Estimated frequency of selected tag-pairs, gives the frequency, as a percentage, of error-prone tag-pairs where XXX is the incorrect tag and YYY is the correct tag which should have occurred in its place. In the third column, the number of the specified error-type is listed, as a frequency count from the sample of 50,000 words. In the fourth column, this is expressed as a percentage of all the tagging errors of word category XXX (in Table 25. Estimated ambiguity rates and error rates by tag column (f)). The fifth column answers the question: if tag XXX occurs, what is the likelihood that it is an error for tag YYY? Where the number of occurrences of a given error-type is less than 5 (i.e. 1 in 10,000 words), they are ignored. Hence, Table 26. Estimated frequency of selected tag-pairs is not exhaustive: only the more likely error-types are listed. In the second column, we add, where useful, the individual words which trigger these errors.

Table 26. Estimated frequency of selected tag-pairs
(1) Incorrect tag XXX (2) Corrected tag YYY (3) No. of occurrences of this error type (4) % of all incorrect uses of tag(XXX) (5) % of all tags XXX
AJ0 AVO 12 26.1% 0.4%
NN1 12 26.1% 0.4%
NP0 5 10.9% 0.1%
VVN 8 17.4% 0.2%
AV0 AJ0 6 10.5% 0.2%
AJC 8 14.0% 0.3%
DT0 24 42.1% 1.0%
EX (there) 5 8.8% 0.2%
PRP 5 8.8% 0.2%
AVQ CJS (when, where) 6 66.7% 3.8%
CJS PRP 10 55.6% 1.4%
DTO AV0 15 78.9% 1.3%
NN1 AJ0 13 15.1% 0.2%
NN0* 8 9.3% 0.1%
NP0* 22 25.6% 0.3%
UNC 9 10.5% 0.2%
VVI 13 15.1% 0.2%
NN2 NP0* 14 46.7% 0.5%
NP0 NN1* 10 32.3% 0.7%
NN0* 5 16.1% 0.4%
PRP AV0 7 29.2% 0.2%
AVP 5 20.8% 0.1%
TO0 PRP (to) 6 100.0% 0.7%
VVB AJ0 7 8.3% 1.3%
NN1 7 8.3% 1.3%
VVI* 55 65.5% 9.8%
VVD AJ0 6 12.0% 0.6%
VVN* 44 88.0% 4.5%
VVG NN1 9 100.0% 1.5%
VVI NN1 5 71.4% 0.4%
VVN AJ0 7 25.9% 0.6%
VVD* 17 63.0% 1.6%
VVZ NN2 8 72.7% 2.7%

Similar to before, the asterisk * indicates a ‘less serious’ error, in which the erroneous and correct tags belong to the same major category or part of speech. As the table shows, the most frequent specific error types are within the verb category: VVB ? VVI (55, or 9.8% of all VVB tags) and VVD ? VVN (44, or 4.5% of all VVD tags).

A further mode of calculation: ignoring subcategories of the same part of speech

Presentation of Ambiguity and Error Rates (coarse-grained calculation)

Yet a further way of looking at the ambiguities and errors in the corpus is to make a coarse-grained calculation in counting these phenomena. In a fine-grained measurement, which is the one assumed up to now, each tag is considered to define its own word class which is different from all other word classes. Using the coarse-grained calculation, on the other hand, we consider words to belong to different word classes (parts of speech) only when the major category is different. If we consider the pair NN1 (singular and common noun) and NP0 (proper noun), the coarse-grained calculation says that the ambiguity tag NN1-NP0 or NP0-NN1 does not show tagging uncertainty, since both the proposed tags agree in categorizing the word as the same part of speech (a noun). So this does not add to the ambiguity rate. Similarly, the coarse-grained point of view on error is that, if a word is tagged as NN1 when it should be NP0, or vice versa, then this is not error, because both tags are within the noun category. To summarize: in the fine-grained calculation, minor differences of wordclass count towards the ambiguity and error rates; in the coarse-grained calculation, they do not.

In this section, the same calculations are made as in section 3, except that errors and ambiguities which are confined within a major category (noun, verb, etc.) are ignored. In practice, most of the errors and ambiguities of this kind come from the difficulty the tagger finds in recognizing the difference between NN1 (singular common noun) and NP0 (proper noun), between VVD (past tense lexical verb) and VVN (past participle lexical verb), and between VVB (finite present tense base form, lexical verb) and VVI (infinitive lexical verb). Thus the ambiguity tags NN1-NP0, VVD-VVN and their mirror images do not occur in the relevant table (Table 28. Estimated error rates for the whole corpus) below. However, since there are no ambiguity tags for VVB and VVI, the problem of distinguishing these two shows up only in the error calculation.

The three tables in this section correspond with the three tables in the preceding section.

Table 27. Estimated ambiguity and error rates for the whole corpus
Sample tag count Ambiguity rate (%) Error rate (%)
Written texts 45,000 2.78% 0.69%
Spoken texts 5,000 2.67% 0.87%
All texts 50,000 2.77% 0.71%

It will be noted from Table 27. Estimated ambiguity and error rates for the whole corpus that this method of calculation reduces the overall ambiguity rate by c.1 per cent, and the overall error rate by c.0.5 per cent. We will not present coarse-grained tables corresponding to Table 25. Estimated ambiguity rates and error rates by tag and Table 26. Estimated frequency of selected tag-pairs above: these tables would be unchanged from the fine-grained calculation, except that the rows marked with an asterisk (*) would be deleted, and the other calculations changed as necessary.

Different modes of calculation: eliminating ambiguities

Given that the elimination of errors was beyond our capability within the time frame and budget we had available, the corpus in its present form, containing ambiguity tags as well as a small proportion of errors, is designed for what we believe will be the most common type of user, who will find it easier to tolerate ambiguity than error. However, other users may prefer a corpus which does not contain ambiguities, even though its error rate is higher. For this latter type of user, the present corpus is easy to interpret as a corpus free of ambiguities, simply by deleting or ignoring the second tag of any ambiguity tag, and accepting the first tag as the only one. In what follows, we therefore allow two modes of calculation: in addition to the "safer" mode, in which ambiguities are allowed and consequently errors are relatively low, we allow a "riskier" mode in which ambiguities are abolished, and errors are more frequent. In fact, if ambiguity tags are eliminated, the overall error rate rises to almost 2 per cent.

Table 28. Estimated error rates for the whole corpus
Sample tag count Error rate (%)
Written texts 45,000 2.01%
Spoken texts 5,000 1.92%
All texts 50,000 2.00%

The following table gives an error count (c) for each tag: i.e. the number of errors in the 50,000 word sample where that tag was the erroneous tag. [Cf. the "safer" error count in Table 26. Estimated frequency of selected tag-pairs, column (f).] In addition, each tag has a correction count (d): i.e. the number of erroneous tags for which that tag was the correct tag. If we subtract the Error count (c) from the Tag count (b), and add the Correction count (d) to the result, we arrive at the "Real tag count" (e) representing the number of occurrences of that tag in the corrected sample corpus. Not included in the table is the small number of ‘multiword’ errors which resulted in two tags being replaced by one (error count), or one tag being replaced by two (correction count), due to the incorrect non-use or use of multiword tags. The last column divides the error count by the tag count to provide the error rate (as a percentage).

Table 29. Estimated error rates (by tag)
(a) Tag (b) Tag count (c) Error count (d) Correction count (e) Real tag count (b - c + d ) (f) Error rate (%) (c / b)x 100
AJ0 3750 102 (132) 3780 2.72%
AJC 142 4 (12) 150 2.82%
AJS 26 2 (0) 24 7.69%
AT0 4351 2 (3) 4352 0.05%
AV0 2495 65 (67) 2497 2.61%
AVP 423 16 (17) 424 3.78%
AVQ 167 9 (6) 164 5.39%
CJC 1915 3 (1) 1913 0.16%
CJS 731 27 (5) 709 3.69%
CJT 264 3 (15) 276 1.14%
CRD 940 1 (11) 950 0.11%
DPS 787 0 (0) 787 0.00%
DT0 1200 23 (29) 1206 1.92%
DTQ 370 0 (0) 370 0.00%
EX0 131 1 (5) 135 0.76%
ITJ 214 2 (2) 214 0.93%
NN0 270 10 (16) 276 0.37%
NN1 7712 205 (152) 7659 2.66%
NN2 2773 37 (29) 2765 1.33%
ORD 136 0 (2) 138 0.00%
NP0 1649 71 (102) 1680 4.31%
PNI 167 10 (1) 158 5.99%
PNP 2646 0 (1) 2647 0.00%
PNQ 112 0 (0) 112 0.00%
PNX 84 0 (1) 85 0.00%
POS 217 5 (6) 218 2.30%
PRF 1615 0 (0) 1615 0.00%
PRP 4217 36 (45) 4226 0.85%
TO0 819 6 (1) 814 0.73%
UNC 158 4 (29) 183 2.53%
VBB 328 1 (0) 327 0.30%
VBD 663 0 (0) 663 0.00%
VBG 37 0 (0) 37 0.00%
VBI 374 0 (0) 374 0.00%
VBN 133 0 (0) 133 0.00%
VBZ 640 4 (5) 641 0.63%
VDB 87 0 (0) 87 0.00%
VDD 71 0 (0) 71 0.00%
VDG 10 0 (0) 10 0.00%
VDI 36 0 (0) 36 0.00%
VDN 20 0 (0) 20 0.00%
VDZ 22 0 (0) 22 0.00%
VHB 150 1 (0) 151 0.67%
VHD 258 0 (0) 258 0.00%
VHG 16 0 (0) 16 0.00%
VHI 119 0 (1) 120 0.00%
VHN 9 0 (0) 9 0.00%
VHZ 116 1 (0) 115 0.86%
VM0 782 3 (0) 779 0.38%
VVB 644 112 (13) 545 17.39%
VVD 1060 78 (60) 1042 7.36%
VVG 729 29 (29) 729 3.98%
VVI 1211 7 (73) 1277 0.57%
VVN 1244 72 (87) 1259 5.79%
VVZ 321 23 (12) 310 7.17%
XX0 363 0 (0) 363 0.00%
ZZ0 75 3 (4) 76 4.00%

It is clear from this table that the amount of error in the tagging of the corpus varies greatly from one tag to another. The most error prone-tag, by a large margin, is VVB, with more than 17 per cent error, while many of the tags are associated with no errors at all, and well over half the tags have less than a 1 per cent error. The final table gives figures for the third level of detail, where we itemise individual tag pairs XXX, YYY, where XXX is the incorrect tag, and YYY is the correct one which should have appeared but did not. Only those pairings which account for 5 or more errors are listed. This table differs from Table 26. Estimated frequency of selected tag-pairs in that here the second tags of ambiguity tags are not taken into account ("riskier mode"). It will be seen that the errors which occur tend to fall into a relatively small number of major categories.

The percentages in columns 4 and 5 of this table are calculated with respect to the figures given in Table 25. Estimated ambiguity rates and error rates by tag.
Table 30. Estimated frequency of selected tag-pairs
Incorrect tag XXX Correct tag YYY No. of occurrences of this error type % of all incorrect uses of tag XXX % of all tags XXX
AJ0 AV0 22 21.57% 0.59%
NN1 41 40.19% 1.09%
NP0 5 4.90% 0.13%
VVG 14 13.73% 0.37%
VVN 14 13.73% 0.37%
AV0 AJ0 9 13.85% 0.36%
AJC 8 12.31% 0.32%
DT0 26 40.00% 1.04%
EX0 (there) 5 7.69% 0.20%
PRP 6 9.23% 0.24%
AVP CJT 6 94.12% 1.42%
AVQ CJS (when, where) 6 66.67% 3.59%
CJS PRP 15 55.56% 2.05%
DTO AV0 (much, more, etc) 15 65.22% 1.25%
NN1 AJ0 63 30.73% 0.82%
NN0 8 3.90% 0.10%
NP0 74 36.10% 0.96%
UNC 9 4.39% 0.12%
VVB 9 4.39% 0.12%
VVG 13 6.34% 0.17%
VVI 13 6.34% 0.17%
NN2 NP0 14 37.84% 0.50%
UNC 9 24.32% 0.32%
VVZ 10 27.02% 0.36%
NN0 UNC 7 70.00% 2.59%
NP0 NN1 50 70.42% 3.03%
NN2 5 7.04% 0.30%
PNI CRD (one) 9 90.00% 5.39%
PRP AV0 8 22.22% 0.19%
TO0 PRP (to) 6 100.00% 0.73%
VVB AJ0 7 6.25% 1.09%
NN1 35 31.25% 5.43%
VVI 55 49.11% 8.54%
VVN 5 4.46% 0.85%
VVD AJ0 14 17.95% 1.32%
VVN 64 82.05% 6.04%
VVG AJ0 11 37.93% 1.51%
NN1 18 62.07% 2.47%
VVI NN1 5 71.43% 0.41%
VVZ NN2 20 86.96% 6.23%

Some of the error types above are associated with one or two particular words, and where these occur they are listed. For example, the AV0 - EX0 type of error occurs invariably with the one word there.

Finally, we list here the text samples used to constitute the manually-conducted 50,000-word error analysis. Each sample consisted of 2,000 words taken from the BNC texts listed below, except that two samples, one of written and one of spoken English, consisted of 1,000 words only. These samples are marked "*" in the list below. The reason for using half-length samples in two cases was to maintain the proportion of written and spoken data as 90% - 10%, so as to keep the proportions of the sample the same as the proportions in the BNC as a whole. The BNC text files are cited by the three-character code used in the BNC Users Reference Guide.
Written imaginative writing
G0S, ADY, H7P, GW0, FSF
Written informative writing
Natural Science
JXN
Applied Science
HWV, CEG
Social Science
CLH, EE8, *A6Y
World Affairs
A4J, CMT, EE2, EB7
Commerce and finance
HGP, B27
Arts
C9U, G1N
Belief and thought
CA9
Leisure
EX0, ADR, CE4
Spoken demographic
KBG
Spoken context-governed
D8Y, *FXH

POS-Tagging Workflow

The first four phases were carried out automatically, using CLAWS4, an automatic tagger which developed out of the CLAWS1 automatic tagger (authors: Roger Garside and Ian Marshall 1983) used to tag the LOB Corpus. The advanced version CLAWS4 is principally the work of Roger Garside, although many other researchers at Lancaster have contributed to its performance in one way or another. Further information about CLAWS4 can be obtained from Leech, Garside and Bryant 1994 and Garside and Smith 1997. CLAWS4 is a hybrid tagger, employing a mixture of probabilistic and non-probabilistic techniques. The fifth and sixth phases used other systems,described in the appropriate section below.

A. Tokenization

The first major step in automatic tagging is to divide up the text or corpus to be tagged into individual (1) word tokens and (2) orthographic sentences. These are the segments usually demarcated by (1) spaces and (2) sentence boundaries (i.e. sentence final punctuation followed by a capital letter). This procedure is not so straightforward as it might seem, particularly because of the ambiguity of full stops (which can be abbreviation marks as well as sentence-demarcators) and of capital letters (which can signal a naming expression, as well as the beginning of a sentence). Faults in tokenization occasionally occur, but rarely cause tagging errors.

In tokenization, an orthographic word boundary (normally a space, with or without accompanying punctuation) is the default test for identifying the beginning and end of word-tokens. (See, however, the next paragraph and D. Idiom-Tagging below.) Hyphens are counted as word-internal, so that a hyphenated word such as key-ring is given just one tag (NN1). Because of the different ways of writing compound words, the same compound may occur in three forms: as a single word written ‘solid’ (markup), as a hyphenated word (mark-up) or as a sequence of two words (mark up). In the first two cases, CLAWS4 will give the compound a single tag, whereas in the third case, it will receive two tags: one for mark and the other for up.

A set of special cases dealt with by tokenization is the set of enclitic verb and negative contractions such as 's, 're, 'll and 'nt, which are orthographically attached to the preceding word. These will be given a tag of their own, so that (for example) the orthographic forms It's, they're, and can't are given two tags in sequence: pronoun + verb, verb + negative, etc. There are also some 'merged' forms such as won't and dunno, which are decomposed into more than one word for tagging purposes. For example, dunno actually ends up with the three tags for do + n't + know (for a list of these contracted forms, see Contracted forms and multiwords).

B. Initial assignment of tags

The second stage of CLAWS POS-tagging is to assign to each word token one or more tags. Many word tokens are unambiguous, and so will be assigned just one tag: e.g. various AJ0 (adjective). Other word tokens are ambiguous, taking from two to seven potential tags. For example, the token paint can be tagged NN1, VVB, VVI, i.e. as a noun or as a verb; the token broadcast can be tagged as VVB, VVI, VVD, VVN (verb which is either present tense, infinitive, past tense, or past participle). In addition, it can be a noun (NN1) or an adjective (AJ0), as in a broadcast concert.

To find the list of potential tags associated with a word, CLAWS first looks up the word in a lexicon of c.50,000 word entries. This lexicon look-up accounts for a large proportion of the word tokens in a text. However, many rarer words or names will not be found in the lexicon, and are tagged by other test procedures. Some of the other procedures are:
  • Look for the ending of a word: e.g. words in -ness will normally be nouns.
  • Look for an initial capital letter (especially when the word is not sentence-initial). Rare names which are not in the lexicon and do not match other procedures will normally be recognized as proper nouns on the basis of the initial capital.
  • Look for a final -(e)s. This is stripped off, to see if the word otherwise matches a noun or verb; if it does, the word in -s is tagged as a plural noun or a singular present-tense verb.
  • Numbers and formulae (e.g. 271, *K9, +) are tagged by special rules.
  • If all else fails, a word is tagged ambiguously as either a noun, an adjective or a lexical verb.

When a word is associated with more than one tag, information is given by the lexicon look-up or other procedures on the relative probability of each tag. For example, the word for can be a preposition or a conjunction, but is much more likely to be a preposition. This information is provided by the lexicon, either in numerical form, or where numerical data available are insufficient, by a simple distinction between 'unmarked', 'rare' and 'very rare' tags.

Some adjustment of probability is made according to the position of the word in the sentence. If a word begins with a capital, the likelihood of various tags depends partly on whether the word occurs at the beginning of a sentence. For instance, the word Brown at the beginning of a sentence is less likely to be a proper noun than an adjective or a common noun (normally written brown). Hence the likelihood of a proper noun tag being assigned is reduced at the beginning of a sentence.

C. Tag selection (or disambiguation)

The next stage, logically, is to choose the most probable tag from any ambiguous set of tags associated with a word token by tag assignment (but see D. Idiom-Tagging below). This is another probabilistic procedure, this time making use of the context in which a word occurs. A method known as Viterbi alignment uses the probabilistic estimates available, both in terms of the tag-word associations and the sequential tag-tag likelihoods, to calculate the most likely path through the sequence of tag ambiguities. (The model employed is largely equivalent to a hidden Markov model.) After tag selection, a single 'winning tag' is selected for each word token in a text. (The less likely tags are not obliterated: they follow the winning tag in descending probability order.) However, the winning tag is not necessarily the right answer. If the CLAWS tagging stopped at this point, only c.95-96% of the word-tokens would be correctly tagged. This is the main reason for including an additional stage (or rather a set of stages) termed 'idiom-tagging'.

D. Idiom-Tagging
Idiom-tagging is a stage of CLAWS4's operation in which sequences of words and tags are matched against a template. Depending on the match, the tags may be disambiguated or corrected. In practice, there are two main reasons for idiom-tagging:
  • The correct tag can only be selected if CLAWS looks at a word+tag sequence as a whole. In tag selection, this was not done, since the program merely used 'bigrams' consisting of two tags in sequence. In other words, idiom-tagging is more powerful than the Viterbi disambiguation algorithm because it is able to operate on a 'window' of several word tokens at once.
  • There are many cases in English where a sequence of orthographic words is best assigned a single tag. Such cases include because of (a preposition), so long as (a conjunction), and of course (an adverb). These so-called multiwords are the opposite of the contracted forms such as don't and there's, where one orthographic word is assigned more than one tag. Thus idiom-tagging here plays the role of adjusting tokenization to larger units.
Idiom-tagging is a matching procedure which operates on lists of rules which might loosely be termed ‘idioms’. Among these are:
  • a list of multiwords (just described) such as because of, so long as and of course.
  • a list of place name expressions (e.g. Mount X , where X is some word beginning with a capital).
  • a list of personal name expressions (e.g. Dr. (X) Y, where X and Y are words beginning with a cap.; the word X may or may not appear in the matching word sequence).
  • a list of foreign or classical language expressions used in English (e.g. de jure, hoi polloi)
  • a list of grammatical sequences where there are typically 'slots' in the sequence which may or may not be filled: e.g. Modal + (adverb/negative) + (adverb/negative) + Infinitive. This matches a sequence such as would not necessarily like. The recognition that the word token like here is an infinitive verb (rather than, say, a present-tense verb or a preposition) could not be trusted if the tagger was not equipped with an idiom-tagging component, but had to rely simply on tag-pair probabilities.

The idiom-tagging component of CLAWS is quite powerful in matching 'template' expressions in which there are wild-card symbols, Boolean operators and gaps of up to n words. They are much more variable than ‘idioms’ in the ordinary sense, and resemble finite-state networks.

Another important point about idiom-tagging is that it is split up into two main phases which operate at different points in the tagging system. One part of the idiom-tagging takes place at the end of Stage C., in effect retrospectively correcting some of the errors which would otherwise occur in CLAWS output. Another part, however, actually takes place between Stages B. and C. This means it can utilise ambiguous input and also produce ambiguous output, perhaps adjusting the likelihood of one tag relative to another. As an example, consider the case of so long as, which can be a single grammatical item - a conditional conjunction meaning 'provided that'. The difficulty is that so long as can also be a sequence of three separate grammatical items: degree adverb + adjective/adverb + conjunction/preposition. In this case, the tagging ambiguity belongs to a whole word sequence rather than a single word, and the output of the idiom-tagging has to be passed on to the probabilistic tag selection stage. Hence, although we have called idiom-tagging ‘Stage D’, it is actually split between two stages, one preceding C. and one following C.

When the text emerges from Stages C. and D., each word has an associated set of one or more tags associated with it, and each tag itself is associated with a probability represented as a percentage. An example is:

entering VVG 86% NN1 14% AJ0 0%

Clearly VVG (-ing participle of the verb enter) is judged by CLAWS4 to be the most likely tag in this case.
E. After CLAWS: the Template Tagger

The error rate with CLAWS4 averages around 3%.5 For the BNC Tagging Enhancement project, we decided to concentrate our efforts on the rule-based part of the system, where most of the inroads in error reduction had been made. This involved (a) developing software with more powerful pattern-matching capabilities than the CLAWS Idiomlist, and (b) carrying out a more systematic analysis of errors, to identify appropriate error-correcting rules.

The next program, known as Template Tagger, supplements rather than supplants CLAWS. It takes a CLAWS output file as its input, and "patches"6 any erroneous tags it finds by using hand-written template rules. Figure 1 above shows where Template Tagger fits in the overall tagging scheme. Effectively, it is an elaborate 'search and replace' tool, capable of matching longer-distance and more variable dependencies than is possible with the Idiomlist:
  • it can refer to information at the level of the word, or tag, or by user-defined categories grouping lexical, grammatical, semantic or other related features
  • it can handle a wide and variable context window, incorporating
    • repetition of the value in (a) a specified number of times, or indefinitely up to the left or right sentence boundary (or other delimiter) from any given word or tag; and
    • different levels of optionality: necessarily present, optional, and necessarily excluded.

These features can best be understood by an example. In BNC1 there were quite a number of errors disambiguating prepositions from subordinating conjunctions, in connection with words like after, before, since and so on. The following rule corrects many such cases from subordinating conjunction (CJS) to prepositions (PRP) tags. It applies a basic grammatical principle that subordinating conjunctions mark the start of clauses and generally require a finite verb somewhere later in the sentence. #AFTER [CJS^PRP] PRP, ([!#FINITE_VB/VVN])16, #PUNC1

The two commas divide the rule into three units, each containing a word or tag or word+tag combination. Square brackets contain tag patterns, and a tag following square brackets is the replacement tag (ie the action part of the rule). #AFTER refers to a list of words like after, before and since, that have similar grammatical properties. These words are defined in a separate file; not all conjunction-preposition words are listed - as, for instance, can be used elliptically, without the requirement for a following verb. (See Tagging Guidelines under as). The definition for #FINITE_VB contains a list of possible POS-tags (rather than word values), eg VVZ/VV0/VM0. Finally #PUNC1 is a 'hard' punctuation boundary (one of . : ; ? and ! ). The patching rule can be interpreted as: 'If a sequence of the following kind occurs: a word like after, before or since, which CLAWS has identified as most likely being a subordinating conjunction, and less likely a preposition; an interval of up to 16 words, none of which has been tagged as a finite verb or past participle 7 (NB [! … ] negates the tag pattern.); a 'hard' punctuation boundary then change the conjunction tag to preposition.'

The rule doesn't always work accurately, and doesn't cater for all preposition-conjunction errors. (i) It relies to a large extent on CLAWS having correctly identified finite verb tags in the right context of the preposition-conjunction; sometimes, however, a past participle is confused with a past tense form. (We therefore added VVN, ie past participle, as a possible alternative to #FINITE_VB in the second part of the pattern. The downside of this was that Template Tagger ignored some conjunction-preposition errors containing genuine use of VVN in the right context). (ii) The scope of the rule doesn't cover long sentences where more than 16 non-finite-verb words occur after the conjunction-preposition. A separate rule had to be written to handle such cases. (iii) Adverb uses of after, before and since etc. need to be fixed by additional rules.

Targetting and writing the Template rules

The Templates are targetted at the most error-prone categories introduced (or rather, left unresolved) by CLAWS. As with the preposition-conjunction example just shown, many disambiguation errors congregate around pairs of tags, for example adjective and adverb, or noun and verb. Sometimes a triple is involved, eg a past tense verb (VVD), past participle (VVN) and adjective (AJ0) in the case of surprised.

A small team of researchers sought out patterns in the errors by concordancing a training corpus that contained two parallel versions of the tagging: the automatic version produced by CLAWS and a hand-corrected version, which served as a benchmark. A concordance query of the form "tag A | tag B", would retrieve lines where the former version assigned an incorrect tag A and the latter a correct tag B. An example is shown below, in which A is a subordinating conjunction and B a preposition.

the company which have occurred | since CJS [PRP] | the balance sheet date . nd-green shirt with epaulettes . | Before CJS [PRP] | the show , the uniforms were approved by rt towards the library catalogue | since CJS [PRP] | the advent of online systems . The overall ales . There have been no events | since CJS [PRP] | the balance sheet date which materially af n in demand , adding 13p to 173p | since CJS [PRP] | the end of October . Printing group Linx h Hugh Candidus of Peterborough . | After CJS [PRP] | the appointment of Henry of Poitou , a sel boys would be in the Ravenna mud | until CJS [PRP] | the spring . Our landlady obviously liked ution in treatment brought about | since CJS [PRP] | the arrival of penicillin and antibiotics

By working interactively with the parallel concordance, sorting on the tags of the immediate context, testing for significant collocates to the left and right, and generally applying his/her linguistic knowledge, the researcher can often detect sufficient commonality between the tagging errors to formulate a patching rule (or a set of rules) such as that shown above. It took several iterations of training and testing to refine the rules to a point where they could be applied by Template Tagger to the full corpus.8

It should be said that some categories of error were easier to write rules for than others. Finding productive rules for noun-verb correction was especially difficult, because of the many types of ambiguity between nouns, verb and other categories, and the widely differing contexts in which they appear. The errors and ambiguity tags associated with NN1-VVB and NN2-VVZ in BNC2 in the error report testify to this problem. Here a more sophisticated lexicon, detailing the selectional restrictions of individual verbs and nouns (and other categories) would have undoubtedly been useful.

Ordering the rules

In some instances the ordering of rules was important. When two rules in the same ruleset compete, the longer match applies. Clashes arise in the case of the multiply ambiguous word as, for instance. Besides the clear grammatical choices between a preposition and a complementiser introducing an adverbial clause, there are many "interfering" idiomatic uses (as well as, as regards etc) and elliptical uses ( The TGV goes as fast as the Bullet train [sc.goes]). To avoid interference between the rules, we found it preferable to let an earlier pass of the rules handle more idiomatic (or exceptional) structures, and let a later pass deal with the more regular grammatical dependencies.

In many rule sets, however, we found that ordering did not affect the overall result, as we tried to ensure each rule was 'true' in all cases. Since, however, more than one rule sometimes carried out the same tag change to a particular word, the system was not optimised for speed and efficiency.

Besides the ordering of rules within rulesets, it is worth considering the placement of Template Tagger within the tagging schema (Figure 1). Ideally, it would be sensible to exploit the full pattern-matching functionality of the Template Tagger earlier in the schema, using it in place of the CLAWS Idiomlist not just after statistical disambiguation, where it is undoubtedly necessary, but also before it. In this way Template Tagger could have precluded much unnecessary ambiguity passing to Stage C. above. The reason we did not do this was pragmatic, that TT was in fact developed as a general-purpose annotation tool (See Fligelstone, Pacey and Rayson 1997), and not exclusively for the POS-tagging of BNC2. In future versions of the tagging software we hope to integrate Template Tagger more fully with CLAWS.

F. Postprocessing, including Ambiguity tagging
The post-processing phase has the task of producing output in the form in which the user is going to find it most usable.
  • The text is produced in a horizontal format, so that it can be read from left to right across the page or across the screen.
  • The tags are enclosed in angle-brackets as follows: <NN1> according to the standard TEI-based CDIF mark-up of the British National Corpus.
  • Normally the word will be output with a single tag - the one which CLAWS4 calculates to be most probable.
  • "Ambiguity tags" (such as <NN1-AJ0>) are output if the difference between the probability of the first tag and of the second fails to reach a pre-decided threshold.

The final phase, "ambiguity tagging", merits a little further discussion. The requirement for such tags is clear when one observes that even using Template Tagger on top of CLAWS, there remains a residuum of error, around 2%, in the corpus. By permitting ambiguity tags we are effectively able to "hedge" in many instances that might otherwise have counted as errors - improving the chances of retrieving a particular tag, but at the cost of retrieving other tags as well. We considered that a reasonable goal would be to employ sufficient ambiguity tags to achieve an overall error rate for the corpus of 1%.

Because CLAWS's reliability in statistical disambiguation varies according to the POS-tags involved, we calculated the thresholds for application of ambiguity tags separately for each relevant tag-pair A-B (where A is CLAWS's first-choice and B its second-choice tag). First, the tag-pairs were chosen according to their error frequencies in a training corpus of 100,000 words. The proportion of A-B errors to the total number of errors indicated how many errors of that type would be allowed in order to achieve the 1% error rate overall; we will refer to this figure as "the target number of errors" for A-B. We then
  1. collected each instance of A-B error, noting the difference in probability score between A and B.
  2. plotted each error against the probability difference
  3. found the threshold on the difference axis that would yield the target number of errors. Below this threshold each instance of A-B would be converted to an ambiguity tag.

As we report under Error rates, the BNC in fact contains a higher error rate than 1%. This is because some thresholds applied at the 1% rate incurred a very high frequency of potential ambiguity tags: we hand-adjusted such thresholds if permitting a slight rise in errors led to a substantial reduction in the number of ambiguities. Further comments on stages E. and F. can be found in Smith 1997.

Additional annotation in BNC XML
As noted above, the linguistic annotation of the corpus was enhanced in the BNC XML edition in three respects:
  • multiwords and their constituent items are explicitly tagged using the <mw> and <w> XML elements
  • an additional wordclass scheme, using a much simplified version of the C5 tagset was deployed
  • lemmatization of each word was carried out using a semi-automatic procedure.

The simplified wordclass scheme used for the second of these enhancements is listed in Simplified Wordclass Tags of the manual, where the mapping between these values and the C5 tags from which they are derived is also specified.

The lemmatization procedure adopted derives ultimately from work reported in Beale 1987, as subsequently refined by others at Lancaster, and applied in a range of projects including the JAWS program (Fligelstone 1994) and the book Word Frequencies in Written and Spoken English (Leech et al 2001). The basic approach is to apply a number of morphological rules, combining simple POS-sensitive suffix stripping rules with a word list of common exceptions.

This process was carried out during the XML conversion, using code and a set of rules files kindly supplied by Paul Rayson.

References
  1. Beale, A.D. (1987) 'Towards a distributional lexicon' in Garside et al (1987).
  2. Brill, E. (1992) 'A simple rule-based part-of-speech tagger'. Proceedings of the 3rd conference on Applied Natural Language Processing. Italy: Trento.
  3. Fligelstone S., Pacey M., and Rayson P. (1997) 'How to Generalize the Task of Annotation'. In Garside et al. (1997)
  4. Garside R., Leech G. and Sampson, G. (eds.) (1987) The Computational Analysis of English. London: Longman.
  5. Garside R., Leech G. and McEnery A. (eds.) (1997) Corpus Annotation. London: Longman.
  6. Garside R., and Smith N. (1997) 'A hybrid grammatical tagger: CLAWS4'. In Garside et al. (1997)
  7. Leech, G., Garside, R., and Bryant, M. (1994). CLAWS4: The tagging of the British National Corpus. In Proceedings of the 15th International Conference on Computational Linguistics (COLING 94). Japan: Kyoto. (pp.622-628.)
  8. Leech, G., Rayson, P., and Wilson, A. (2001). Word frequencies in written and spoken English based on the British National Corpus. London: Longman.
  9. Marshall, I. (1983). 'Choice of Grammatical wordclass without Global Syntactic Analysis: Tagging Words in the LOB Corpus'. Computers and the Humanities 17, 139-50.
  10. Smith, N. (1997) 'Improving a Tagger'. In Garside et al. (1997)

Miscellaneous tables

This section consists of a series of supplementary tables listing values used for some open or semi open value-lists, and other aspects of the corpus and its encoding not provided by the reference information in section bnctags.

The following code tables are provided:
  • XML tag usage by text type gives a breakdown of XML tag usage by text type
  • Voice quality codes lists the most frequent values used in the corpus for the new attribute on the <shift> element, to indicate changes in voice quality for spoken texts
  • Gap descriptions lists the most frequent values used in the corpus for the desc attribute on the <gap> element, to describe material not transcribed in spoken texts
  • Event descriptions lists the most frequent values used in the corpus for the desc attribute on the <event> element, which describes non-linguistic events noted by the transcriber of a spoken text
  • Speaker relationships lists the codes used to identify the roles relationships of participants, as specified in the role attribute on <person>
  • Text and genre classification codes lists the text-type codes making up David Lee's text classification system as applied to the BNC.
  • Contracted forms and multiwords lists all the multiword items identified by the CLAWS system and tagged as <mw> elements, together with the C5 wordclass tag assigned to each of their constituent parts
  • Simplified Wordclass Tags lists the mapping between simple POS code and CLAWS5 wordclass tags

XML tag usage by text type

Each of the 4055 texts in the BNC is categorized broadly by type (written fiction, written academic prose, spoken demographic, etc.). This table lists the usage of the various XML elements documented in this manual within the corpus, both in total and in each of the different text types. Note that elements which appear only in corpus or text headers are excluded.

Total ACPROSE CONVRSN FICTION NEWS NONAC OTHERPUB OTHERSP UNPUB
align 407023 66.96%
272552
33.03%
134471
bibl 1036 17.85%
185
10.90%
113
55.59%
576
15.54%
161
0.09%
1
c 13614363 14.55%
1981729
5.03%
684858
23.65%
3220541
8.68%
1182536
22.31%
3038629
16.64%
2266554
5.23%
712415
3.87%
527101
corr 17000 11.42%
1943
0.02%
5
7.86%
1337
11.07%
1882
28.34%
4819
28.94%
4921
0.18%
31
12.12%
2062
div 210145 12.04%
25308
1.73%
3640
3.10%
6518
18.31%
38484
20.35%
42778
33.35%
70090
0.07%
155
11.02%
23172
event 6943 36.85%
2559
63.14%
4384
gap 65159 21.16%
13790
7.67%
4998
0.35%
232
1.62%
1060
14.64%
9542
16.74%
10911
28.99%
18895
8.79%
5731
head 222085 10.71%
23797
2.62%
5836
22.11%
49108
21.74%
48288
33.44%
74283
9.35%
20773
hi 210508 27.84%
58613
12.50%
26315
0.14%
302
31.23%
65758
25.28%
53236
2.98%
6284
item 117237 27.82%
32621
0.74%
870
2.23%
2621
22.93%
26893
30.82%
36139
15.43%
18093
l 51310 2.59%
1333
71.39%
36631
0.17%
89
13.59%
6974
8.62%
4426
3.61%
1857
label 65697 43.83%
28799
0.65%
430
1.66%
1093
21.27%
13976
21.96%
14428
10.61%
6971
lg 3040 7.23%
220
54.53%
1658
0.23%
7
21.71%
660
11.71%
356
4.57%
139
list 19758 20.72%
4095
0.71%
142
1.63%
323
26.41%
5220
31.75%
6274
18.74%
3704
mw 792599 19.55%
155017
3.24%
25742
16.83%
133469
7.74%
61366
25.39%
201249
16.73%
132634
6.38%
50644
4.09%
32478
note 117 45.29%
53
0.85%
1
0.85%
1
5.12%
6
47.86%
56
p 1599693 8.78%
140550
27.13%
434019
17.95%
287171
18.18%
290826
20.35%
325612
7.59%
121515
pause 216354 64.98%
140589
35.01%
75765
pb 94620 26.16%
24760
25.60%
24224
0.15%
148
31.63%
29931
14.75%
13961
1.68%
1596
quote 15208 40.20%
6114
4.58%
698
0.03%
5
45.66%
6945
6.14%
934
3.36%
512
s 6026276 11.55%
696038
10.13%
610558
21.96%
1323573
8.43%
508609
18.83%
1135264
16.95%
1021633
7.09%
427523
5.02%
303078
shift 36053 70.90%
25564
29.09%
10489
sp 29112 0.21%
62
1.28%
373
4.76%
1386
35.69%
10391
58.05%
16900
speaker 23466 0.26%
62
1.58%
373
5.90%
1385
44.16%
10363
48.08%
11283
stage 507 1.38%
7
10.25%
52
5.71%
29
82.44%
418
0.19%
1
trunc 52674 38.69%
20382
61.30%
32292
u 784483 67.02%
525789
32.97%
258694
unclear 203045 62.39%
126686
37.60%
76359
vocal 43457 63.61%
27645
36.38%
15812
w 98363707 16.04%
15781859
4.30%
4233962
16.41%
16143913
9.56%
9412174
24.58%
24179010
18.26%
17970212
6.27%
6175896
4.54%
4466681

Voice quality codes

Changes in voice quality in spoken texts are indicated by values for the <new> attribute on a <shift> element, at the point where the speaker's voice change. 156 distinct values are used, but most of them appear only infrequently. The following list gives the values which appear more than 10 times in the whole corpus:
voice qualitynumber such
laughing9268
reading2463
singing2045
shouting1419
whispering1247
yawning363
sighing276
mimicking241
spelling224
crying108
screaming97
whining40
whingeing38
praying23
reading bible22
reading newspaper20
reading+laughing15
reading book14
on telephone11

Gap descriptions

Where material is omitted for some reason during the transcription of a text, either written or spoken, the <gap> element is used to provide a brief description of the material omitted and the reason for its exclusion. The desc attribute supplies the description, and the cause attribute explains why it was done. Over 1700 distinct descriptions are used, but most of them appear only infrequently. The following list gives the 65 values which appear more than 25 times in the whole corpus:
material omittednumber such
name29698
formula12476
figure4060
address3914
many nonRoman characters2835
telephone number2173
table1393
illustration903
photograph338
footnote197
references etc.188
date172
list of names171
picture144
personal name142
advert141
reference133
adverts126
list123
period quotation112
name and address101
phonetic transcription95
list of venues95
table of contents92
names91
ingredients91
publication details84
footnotes83
contents omitted72
contents65
list of ingredients64
diagram60
hebrew59
address, telephone number etc.50
tel. no47
cover page47
text46
venue, dates, times, prices etc.46
venue46
telephone no44
number41
names and addresses41
other venues41
venues40
form39
personal names38
computer code38
gaelic36
email address36
author details35
address and telephone35
cover omitted35
company name34
credits33
caption31
dates30
name and phone number29
sales details28
address, dates, times, prices etc.28
period quotation/verse27
notes27
map26
period/overseas quotation25
quotation25
The cause for a gap in transcription is usually self-evident, which may be why only a small number of values is used for the cause attribute. The following four values are the most significant:
reason for ommissionnumber such
anonymization31924
label303
sampling strategy115
repeated elsewhere6

Event descriptions

The <event> element is used in spoken texts to mark wherever some non-linguistic but significant event is noted by a transcriber. The brief texts used to describe such events are very various, and there are more than 1500 different values for the desc attribute which stores them. The following lists shows the 60 or so values which appear more than 10 times in the whole corpus:
Event descriptionnumber such
clapping1134
music397
recorded jingle330
break in recording310
speaking french212
pre-recorded blurb199
too quiet to hear180
recording ends177
tape change158
phonecall starts138
phone rings138
phonecall ends125
tape breaks here120
piano music109
paper rustling93
tv on80
people talking77
applause67
dog barks63
tape jumps62
dog barking55
baby talk55
jingle47
banging47
classroom chatter47
talk in background41
people laughing35
advert35
door knock33
noise - traffic30
playing piano30
tape ends28
door bell27
noise - background26
portuguese speech24
writing on board24
hits ball23
music in background21
speaking italian19
television19
baby crying18
door closing17
bell ring17
singing16
crockery noise16
noseblow16
telephone conversation ends16
talking from other room16
everyone talking15
radio on15
noise15
door opening15
introduction music15
drilling noise14
microphone moved14
plane overhead13
knocking13
phonic13
closing music12
noise - train12
cat noise12
clicks fingers11
speaking german11

Speaker relationships

In demographically sampled texts, the role of each speaker with respect to the respondent is supplied by the role attribute on the <person> element. The following table lists all 79 values used in the curent version of the corpus in descending frequency order.

role name persons
unspecified 6862
other 1454
friend 654
? 354
self 306
colleague 216
daughter 102
son 100
husband 68
wife 66
mother 64
stranger 52
neighbour 50
father 42
sister 42
brother 38
mother-in-law 22
sister-in-law 22
teacher 22
acquaintance 18
brother-in-law 18
employee 14
son-in-law 14
father-in-law 12
granddaughter 12
niece 12
chairman 10
grandson 10
daughter-in-law 8
nephew 8
aunt 6
boyfriend 6
customer 6
girlfriend 6
babysitter 4
cousin 4
fiancée 4
friend's son 4
grandmother 4
lecturer 4
son's teacher 4
aunt-in-law 2
boss 2
boyfriend's father 2
boyfriend's mother 2
brother's friend 2
brother-in-law's mother 2
child's teacher 2
cousin-in-law 2
cousin-in-law's son 2
cousin-in-law's wife 2
daughter's boyfriend 2
daughter's friend 2
employee's wife 2
friend's brother 2
friend's father 2
friend's granddaughter 2
friend's mother 2
friend's sister 2
grandmother-in-law 2
hairdresser 2
hairdresser's son 2
housekeeper 2
husband's great-niece 2
husband's niece 2
neighbour's son 2
partner 2
partner's mother 2
plumber 2
sister's friend 2
sister's friend's mother 2
sister-in-law's father 2
sister-in-law's mother 2
son's friend 2
step-father 2
stepfather 2
uncle 2
visitor 2

Text and genre classification codes

Texts are classified in several different ways in the BNC, as described in section Text classification . Each text carries a number of text classification codes, specified a string of values on the target attribute of its <catRefs> element. Possible values for these codes and their significance are listed in the corpus header (see The BNC corpus header). These values are also used in the BNC indexing files described in section Creating a subcorpus and distribution tables showing the number of texts, words, and sentences classified under most of them are given above in section Design of the corpus.

One of the codes listed below is also supplied for each text as the content of a <classCode> element in its text header, as an alternative way of characterising each text. A description of the analysis scheme used and its rationale are provided in an article by David Lee (Genres, registers, text types and styles: clarifying the concepts and navigating a path through the BNC Jungle (Language Learning and Technology, vol 5 no 3, September 2001; available online at http://http://llt.msu.edu/vol5num3/lee/default.html. The codes used in the present version of the corpus have been updated to take note of a small number of corrections made by Lee on his web site (http://clix.to/davidlee00) since publication of the article.

Table 37. Genre classification for spoken texts
code texts
S_brdcast_discussn 54
S_brdcast_documentary 10
S_brdcast_news 12
S_classroom 59
S_consult 128
S_conv 153
S_courtroom 13
S_demonstratn 6
S_interview 13
S_interview_oral_history 119
S_lect_commerce 3
S_lect_humanities_arts 4
S_lect_nat_science 4
S_lect_polit_law_edu 7
S_lect_soc_science 13
S_meeting 132
S_parliament 6
S_pub_debate 16
S_sermon 16
S_speech_scripted 26
S_speech_unscripted 51
S_sportslive 4
S_tutorial 18
S_unclassified 44
Table 38. Genre classification for written texts
code texts
W_ac_humanities_arts 87
W_ac_medicine 24
W_ac_nat_science 43
W_ac_polit_law_edu 187
W_ac_soc_science 142
W_ac_tech_engin 23
W_admin 12
W_advert 60
W_biography 100
W_commerce 112
W_email 7
W_essay_school 7
W_essay_univ 4
W_fict_drama 2
W_fict_poetry 31
W_fict_prose 485
W_hansard 4
W_institut_doc 43
W_instructional 15
W_letters_personal 6
W_letters_prof 11
W_misc 501
W_news_script 32
W_newsp_brdsht_nat_arts 51
W_newsp_brdsht_nat_commerce 44
W_newsp_brdsht_nat_editorial 12
W_newsp_brdsht_nat_misc 95
W_newsp_brdsht_nat_report 49
W_newsp_brdsht_nat_science 29
W_newsp_brdsht_nat_social 36
W_newsp_brdsht_nat_sports 24
W_newsp_other_arts 15
W_newsp_other_commerce 17
W_newsp_other_report 27
W_newsp_other_reportage 12
W_newsp_other_science 23
W_newsp_other_social 37
W_newsp_other_sports 9
W_newsp_tabloid 6
W_non_ac_humanities_arts 116
W_non_ac_medicine 17
W_non_ac_nat_science 62
W_non_ac_polit_law_edu 93
W_non_ac_soc_science 128
W_non_ac_tech_engin 123
W_pop_lore 211
W_religion 35

Contracted forms and multiwords

The following tables summarize and document the tokenization decisions taken by the CLAWS system, where these do not coincide with normal orthographic convention.

The first list specifies common word-endings or enclitics which are regarded by CLAWS as indicating the start of a new ‘word’, although words containing them are conventionally represented as a single orthographic word.

The second list specifies some common two, three or four word phrases treated by CLAWS as single tokens. These are represenmted in this version of the corpus by means of a <mw> element; the table gives the C5 code assigned to this element, and also the codes assigned to the distinct <w> elements constituting it.

Contracted forms

Words ending with certain character strings are treated by CLAWS as distinct words, even though they are conventionally fused together when written. For example, ‘they're’ is treated as if it were two distinct ‘words’ — they and 're. The fact that these two items are orthographically fused is evident in the XML encoding of the corpus because there is no whitespace following the string ‘they’. Some XML processors may however assume that the end of an XML element such as the <w> enclosing the string should always be treated as a word separator, and may therefore introduce unwanted extra space.

In the following table we show how contracted forms are tokenized by CLAWS. The left column shows the contracted form; the right column shows the content of the two or more <w> elements used to represent it.

orthographic form tokenization
[word]'d [word] 'd
[word]'m [word] 'm
[word]'s [word] 's
[word]'ll [word] 'll
[word]n't [word] n't
[word]'re [word] 're
[word]'v [word] 'v
'd've 'd 've
'tis 't is
'twas 't was
'twere 't were
'twould 't would
I'd've I 'd 've
ain't ai n't
aint ai nt
aintcha ai nt cha
arent are nt
c'mon c'm on
can't ca n't
cannot can not
couldnt could nt
d'ya d' ya
d'you d' you
didnt did nt
doesnt does nt
dont do nt
dunnit dun n it
dunno du n no
geroff ger off
gimme gim me
gonna gon na
gotta got ta
hadnt had nt
hasnt has nt
he'd''ve he 'd' 've
hes he s
inne in n e
innit in n it
isnt is nt
it'd've it 'd 've
lorra lor ra
m'lud m' lud
ought'a ough t 'a
oughta ought a
shan't sha n't
she'd've she 'd 've
shouldn't've should n't 've
shouldn't should n't
t'other t' other
thats that s
theres there s
they'd've they 'd 've
theyve they ve
tis t is
twas t was
twere t were
twould t would
wanna wan na
wannit wann it
wasnt was nt
we'd've we 'd 've
weve we ve
won't wo n't
wotta wott a
wouldn't've would n't 've
wouldnt would nt
you'd've you 'd 've

Multiwords

CLAWS recognizes certain sequences of orthographically distinct words as constituting a single item: examples include common prepositional phrases such as ‘in spite of’, as well as phrases from other languages such as ‘aide memoire’. In this version of the corpus, such items are explicitly tagged using an XML <mw> (for multiword) tag carrying the appropriate wordclass tag, as indicated below. Within this <mw> element however, in a departure from earlier versions of the corpus, the individual words are also tagged using <w> tags in the same way as elsewhere in the corpus.

The following table lists all multiwords recognized in the corpus alphabetically, indicating both the wordclass codes assigned to it, and also the wordclass codes assigned to its constituent <w> elements. Note that these latter wordclass codes were assigned automatically during the XML conversion process and therefore should not be included in any assessment of the CLAWS error rate.

multiword mw wordclass/es constituent wordclasses
ab initio AV0 or AJ0 UNC UNC
a bit AV0 AT0 NN1
a capella AJ0 or AV0 UNC UNC
according as CJS VVG CJS
according to PRP VVG PRP
ad astra AV0 or AJ0 UNC UNC
ad hoc AV0 or AJ0 UNC UNC
ad hominem AV0 or AJ0 UNC UNC
ad infinitum AV0 UNC UNC
adjacent to PRP AJ0 PRP
ad lib AJ0 or AV0 or NN1 UNC UNC
ad nauseam AV0 or AJ0 UNC UNC
affaire de coeur NN1 UNC UNC UNC
affaire d'honneur NN1 UNC UNC
a fortiori AV0 or AJ0 UNC UNC
agent provocateur NN1 UNC UNC
agnus dei NN1 UNC UNC
a good deal AV0 AT0 AJ0 NN1
a great deal AV0 AT0 AJ0 NN1
ahead of PRP AV0 PRF
a heck of a lot AV0 AT0 NN1 PRF AT0 NN1
aide de camp NN1 UNC UNC UNC
aide memoire NN1 UNC UNC
a la PRP UNC UNC
a la carte AJ0 or AV0 UNC UNC UNC
a la mode AJ0 or AV0 UNC UNC UNC
al dente AJ0 or AV0 UNC UNC
al fresco AV0 or AJ0 UNC UNC
a little AV0 AT0 AV0/DT0
a little bit AV0 AT0 AJ0 NN1
alla breve AV0 or AJ0 or NN0 UNC UNC
all but AV0 AV0 CJS
all of a sudden AV0 DT0 PRF AT0 NN1
all right AV0 or AJ0 AV0 AV0
all the same AV0 DT0 AT0 DT0
alma mater NN1 UNC UNC
along with PRP AVP PRP
a lot AV0 AT0 NN1
alter ego NN1 UNC UNC
an' all AV0 CJC DT0
an awful lot AV0 AT0 AJ0 NN1
ancien regime NN1 UNC UNC
and so forth AV0 CJC AV0 AV0
and so on AV0 CJC AV0 AV0
anno domini AV0 or NN1 UNC UNC
annus horribilis NN1 UNC UNC
annus mirabilis NN1 UNC UNC
ante meridiem AV0 UNC UNC
any longer AV0 AV0 AV0
anything but AV0 PNI AV0
apart from PRP AV0 PRP
a posteriori AV0 or AJ0 UNC UNC
a priori AV0 or AJ0 UNC UNC
a propos PRP or AV0 UNC UNC
aqua vitae NN1 UNC UNC
art nouveau NN1 UNC UNC
as against PRP CJS PRP
as between PRP CJS PRP
as for PRP CJS PRP
as from PRP CJS PRP
aside from PRP AV0 PRP
as if CJS CJS CJS
as it were AV0 CJS PNP VBD
as long as CJS AV0 AV0 CJS
as of PRP CJS PRF
as opposed to PRP CJS VVN PRP
as regards PRP CJS VVZ
as soon as CJS AV0 AV0 CJS
as though CJS CJS CJS
asti spumante NN1 UNC UNC
as to PRP CJS PRP
as usual AV0 CJS AJ0
as well as PRP AV0 AV0 CJS
as well AV0 CJS AV0
as yet AV0 CJS AV0
at all AV0 PRP DT0
at best AV0 PRP AJS
at first AV0 PRP ORD
at large AV0 PRP AJ0
at last AV0 PRP ORD
at least AV0 PRP AV0
at length AV0 PRP NN1
at long length AV0 PRP AJ0 NN1
at most AV0 PRP DT0
at once AV0 PRP AV0
at present AV0 PRP NN1
at random AV0 PRP AJ0
at worst AV0 PRP AV0
au contraire AV0 UNC UNC
au fait AJ0 UNC UNC
auf wiedersehen ITJ UNC UNC
au pair NN1 UNC UNC
au revoir ITJ UNC UNC
aurora australis NN1 UNC UNC
aurora borealis NN1 UNC UNC
avant garde NN1 or AJ0 UNC UNC
away from PRP AV0 PRP
bar mitzvah NN1 or AJ0 UNC UNC
basso profundo NN1 UNC UNC
beau monde NN1 UNC UNC
because of PRP CJS PRF
belles lettres NN2 UNC UNC
bete noire NN1 UNC UNC
billet doux NN1 UNC UNC
bona fides NN2 UNC UNC
bona fide AJ0 UNC UNC
bon appetit ITJ UNC UNC
bon mot NN1 UNC UNC
bon vivant NN1 UNC UNC
bon viveur NN1 UNC UNC
bon voyage ITJ UNC UNC
brand new AJ0 NN1 AJ0
but for PRP CJS PRP
by and by AV0 AVP CJC AVP
by and large AV0 AVP CJC AJ0
by far AV0 PRP AV0
by means of PRP PRP NN0 PRF
by no means AV0 PRP PRP NN0
by now AV0 PRP AV0
by reason of PRP PRP NN1 PRF
by the by AV0 PRP AT0 NN1
by way of PRP PRP NN1 PRF
cafe au lait NN1 UNC UNC UNC
camera obscura NN1 UNC UNC
carte blanche NN1 UNC UNC
casus belli NN1 UNC UNC
cause celebre NN1 UNC UNC
ceteris paribus AV0 UNC UNC
chaise longue NN1 UNC UNC
charge d'affaires NN1 UNC UNC
chez moi AV0 UNC UNC
chez nous AV0 UNC UNC
chilli con carne NN1 NN1 NN1 NN1
chop suey NN1 UNC UNC
chow mein NN1 UNC UNC
clamp down NN1 VVB/VVI AVP
close to AV0 AV0/AJ0 PRP
compos mentis AJ0 UNC UNC
con brio AJ0 or AV0 UNC UNC
con fuoco AJ0 or AV0 UNC UNC
con moto AJ0 or AV0 UNC UNC
considering that CJS VVG CJT
contrary to PRP JJ PRP
cordon bleu NN1 UNC UNC
cordon sanitaire NN1 UNC UNC
corpus delicti NN1 UNC UNC
corpus juris NN1 UNC UNC
coup de grace NN1 UNC UNC UNC
coup d'etat NN1 UNC UNC
coup de theatre NN1 UNC UNC UNC
creme de la creme NN1 UNC UNC UNC UNC
creme de menthe NN1 UNC UNC UNC
cri de coeur NN1 UNC UNC UNC
croix de guerre NN0 UNC UNC UNC
cul de sac NN1 UNC UNC UNC
danse macabre NN1 UNC UNC
de facto AV0 or AJ0 UNC UNC
dei gratia AV0 UNC UNC
deja vu NN1 UNC UNC
de jure AV0 or AJ0 UNC UNC
delirium tremens NN1 UNC UNC
de luxe AJ0 UNC UNC
demi monde NN1 UNC UNC
depending on PRP VVG PRP
de profundis AV0 UNC UNC
de rigeur AJ0 UNC UNC
de trop AJ0 UNC UNC
deus ex machina NN1 UNC UNC UNC
double entendre NN1 UNC UNC
dramatis personae NN2 UNC UNC
due to PRP AJ0 PRP
each other PNX DT0 NN1
eminence grise NN1 UNC UNC
en bloc AV0 UNC UNC
en famille AV0 UNC UNC
enfants terribles NN2 UNC UNC
enfant terrible NN1 UNC UNC
en masse AV0 UNC UNC
en passant AV0 UNC UNC
en route AV0 UNC UNC
en suite AJ0 UNC UNC
entente cordiale NN1 UNC UNC
esprit de corps NN1 UNC UNC UNC
et al AV0 UNC UNC
et cetera AV0 UNC UNC
even if CJS AV0 CJS
even so AV0 AV0 AV0
even though CJS AV0 CJS
even when CJS AV0 CJS
ever so AV0 AV0 AV0
every so often AV0 AT0 AV0 AV0
ex army AJ0 PRP NN1
ex cathedra AV0 or AJ0 UNC UNC
except for PRP CJS PRP
excepting for PRP VVG PRP
except that CJS CJS CJT
ex gratia AV0 or AJ0 UNC UNC
ex libris AV0 UNC UNC
ex officio AV0 or AJ0 UNC UNC
ex parte AV0 or AJ0 UNC UNC
ex tempore AV0 or AJ0 UNC UNC
fait accompli NN1 UNC UNC
far from AV0 AV0 PRP
far off AJ0 AV0 AVP
faux amis NN2 UNC UNC
faux ami NN1 UNC UNC
faux pas NN0 UNC UNC
fed up AJ0 VVN AVP
femme fatale NN1 UNC UNC
fin de siecle NN1 UNC UNC UNC
follow up NN1 VVB/VVI AVP
force majeure NN1 UNC UNC
for certain AV0 PRP AJ0
for ever AV0 PRP AV0
for example AV0 PRP NN1
for fear of PRP PRP NN1 PRF
for good AV0 PRP AJ0
for instance AV0 PRP NN1
for keeps AV0 PRP NN2
for long AV0 PRP AV0
for once AV0 PRP AV0
for sure AV0 PRP AJ0
for the most part AV0 PRP AT0 AV0 NN1
for the time being AV0 PRP AT0 NN1 VBG
fromage frais NN1 UNC UNC
from now on AV0 PRP AV0 AVP
from time to time AV0 PRP NN1 PRP NN1
getting on for AV0 VVG AVP PRP
grande dame NN1 UNC UNC
grand prix NN1 UNC UNC
grown ups NN2 VVN NN2
grown up NN1 VVN AVP
gung ho AJ0 or AV0 UNC UNC
habeas corpus NN1 UNC UNC
half way AV0 DT0 NN1
hara kiri NN1 UNC UNC
hard up AJ0 AJ0 AVP
hasta la vista ITJ UNC UNC UNC
hasta luego ITJ UNC UNC
haute couture NN1 UNC UNC
haute cuisine NN1 UNC UNC
have nots NN2 VHB NN2
hey presto ITJ ITJ ITJ
hoi polloi NN0 UNC UNC
homo sapiens NN1 UNC UNC
hors d'oeuvres NN2 UNC UNC
hors d'oeuvre NN1 UNC UNC
hysteron proteron NN1 UNC UNC
idee fixe NN1 UNC UNC
in absentia AV0 UNC UNC
in accordance with PRP PRP NN1 PRP
in accord with PRP PRP NN1 PRP
in addition AV0 PRP NN1
in addition to PRP PRP NN1 PRP
in aid of PRP PRP NN1 PRF
in answer to PRP PRP NN1 PRP
in as much as CJS PRP AV0 DT0 CJS
inasmuch as CJS UNC CJS
in association with PRP PRP NN1 PRP
in back of PRP PRP NN1 PRF
in between PRP or AV0 AVP PRP/AV0
in brief AV0 PRP AJ0
in camera AV0 UNC UNC
in case of PRP PRP NN1 PRF
in case CJS or AV0 PRP NN1
in charge of PRP PRP NN1 PRF
in common AV0 PRP AJ0
in common with PRP PRP NN1 PRP
in comparison with PRP PRP NN1 PRP
in conjunction with PRP PRP NN1 PRP
in connection with PRP PRP NN1 PRP
in consultation with PRP PRP NN1 PRP
in contact with PRP PRP NN1 PRP
in cooperation with PRP PRP NN1 PRP
in course with PRP PRP NN1 PRP
in defence of PRP PRP NN1 PRF
in defiance of PRP PRP NN1 PRF
in excess of PRP PRP NN1 PRF
in extremis AV0 UNC UNC
in face of PRP PRP NN1 PRF
in favor of PRP PRP NN1 PRF
in favour of PRP PRP NN1 PRF
in flagrante delicto AV0 or AJ0 UNC UNC UNC
in front of PRP PRP NN1 PRF
in full AV0 PRP AJ0
in general AV0 PRP AJ0
in keeping with PRP PRP NN1 PRP
in lieu of PRP PRP UNC PRF
in light of PRP PRP NN1 PRF
in line with PRP PRP NN1 PRP
in loco parentis AV0 or AJ0 UNC UNC UNC
in medias res AV0 UNC UNC UNC
in memoriam AV0 UNC UNC
in need of PRP PRP NN1 PRF
in particular AV0 PRP AJ0
in perpetuum AV0 UNC UNC
in place of PRP PRP NN1 PRF
in possession of PRP PRP NN1 PRF
in private AV0 PRP AJ0
in proportion to PRP PRP NN1 PRP
in propria persona AV0 UNC UNC UNC
in public AV0 PRP AJ0
in pursuit of PRP PRP NN1 PRF
in quest of PRP PRP NN1 PRF
in receipt of PRP PRP NN1 PRF
in regard to PRP PRP NN1 PRP
in relation to PRP PRP NN1 PRP
in reply to PRP PRP NN1 PRP
in respect of PRP PRP NN1 PRF
in response to PRP PRP NN1 PRP
in return for PRP PRP NN1 PRP
in search of PRP PRP NN1 PRF
in short AV0 PRP AJ0
inside out AV0 or AJ0 AV0 AVP
in situ AV0 UNC UNC
in so far as CJS PRP AV0 AV0 CJS
insofar as CJS UNC CJS
in spite of PRP PRP NN1 PRF
instead of PRP AV0 PRF
in support of PRP PRP NN1 PRF
inter alia AV0 UNC UNC
in terms of PRP PRP NN2 PRF
in that CJS PRP CJT
in the light of PRP PRP AT0 NN1 PRF
in the main AV0 PRP AT0 AJ0
in the order of AV0 PRP AT0 NN1 PRF
into line with PRP PRP NN1 PRP
in toto AV0 or AJ0 UNC UNC
in touch with PRP PRP NN1 PRP
in vain AV0 PRP AJ0
in view of PRP PRP NN1 PRF
in vitro AJ0 or AV0 UNC UNC
in vivo AJ0 or AV0 UNC UNC
ipso facto AV0 UNC UNC
irrespective of PRP AJ0 PRF
je ne sais quoi NN1 UNC UNC UNC UNC
joie de vivre NN1 UNC UNC UNC
just about AV0 AV0 AV0
just about AV0 AV0 AV0
kind of AV0 NN1 PRF
know how NN1 VVB AVQ
kung fu NN1 UNC UNC
la dolce vita NN1 UNC UNC UNC
laissez faire NN1 UNC UNC
le mot juste NN1 UNC UNC UNC
less than AV0 AV0/DT0 CJS
let alone PRP VVB AJ0
let 's VM0 VVB PNP
lingua franca NN0 UNC UNC
lo and behold ITJ ITJ CJC VVB
loc cit AV0 UNC UNC
locum tenens NN1 UNC UNC
long-term wise AV0 AJ0 AV0
magna carta NN1 UNC UNC
magna cum laude AJ0 or AV0 UNC UNC UNC
magnum opus NN1 UNC UNC
maitre d'hotel NN1 UNC UNC
mal de mer NN1 UNC UNC UNC
matter of fact NN1 or AJ0 NN1 PRF NN1
mea culpa NN1 UNC UNC
medecins sans frontieres NN0 UNC UNC UNC
medicins sans frontieres NN0 UNC UNC UNC
menage a trois NN1 UNC UNC UNC
mezzo soprano NN1 UNC UNC
modus operandi NN1 UNC UNC
modus vivendi NN1 UNC UNC
more than AV0 AV0/DT0 CJS
more than AV0 AV0 CJS
mot juste NN1 UNC UNC
nearer to PRP AJC/AV0 PRP
nearest to PRP AJS/AV0 PRP
near to PRP AJ0/AV0 PRP
nem con AV0 UNC UNC
next to PRP ORD PRP
nigh on AV0 AV0 AVP
noblesse oblige NN1 UNC UNC
no doubt AV0 AT0 NN1
no longer AV0 AV0 AV0
no matter who PNQ AT0 NN1 PNQ
no matter whom PNQ AT0 NN1 PNQ
no matter whose DTQ AT0 NN1 DTQ
nom de guerre NN1 UNC UNC UNC
nom de plume NN1 UNC UNC UNC
non compos mentis AJ0 UNC UNC UNC
none other PNI PNI AJ0
none the less AV0 PNI AT0 AV0
none the AV0 PNI AT0
non sequitur NN1 UNC UNC
no one PNI AT0 PNI
not withstanding AV0 XX0 UNC
nouveau riche NN1 UNC UNC
nouveaux riches NN2 UNC UNC
nouvelle cuisine NN1 UNC UNC
now that CJS AV0 CJT
objet d'art NN1 UNC UNC
objets d'art NN2 UNC UNC
of course AV0 PRF NN1
off guard AV0 PRP NN1
off of PRP AVP PRF
oft times AV0 AV0 NN2
old fashioned AJ0 AJ0 VVN
on account of PRP PRP NN1 PRF
on behalf of PRP PRP NN1 PRF
on board PRP or AV0 PRP NN1
once again AV0 AV0 AV0
once and for all AV0 AV0 CJC PRP DT0
once more AV0 AV0 AV0
one another PNX CRD DT0
one 's CRD CRD POS
on the part of PRP PRP AT0 NN1 PRF
on top of PRP PRP NN1 PRF
on to PRP AVP PRP/TO0
op cit AV0 UNC UNC
other than PRP AJ0 CJS
out of PRP AVP PRF
out of date AJ0 AVP PRF NN1
out of line with PRP AVP PRF NN1 PRP
out of touch with PRP AVP PRF NN1 PRP
outside of PRP PRP PRF
over here AV0 PRP AV0
over there AV0 PRP AV0
owing to PRP VVG PRP
papier mache NN1 UNC UNC
par excellence AJ0 UNC UNC
pas de deux NN0 UNC UNC UNC
pate de foie gras NN1 UNC UNC UNC UNC
pax britannica NN1 UNC UNC
pax romana NN1 UNC UNC
per annum AV0 UNC UNC
per capita AV0 or AJ0 UNC UNC
per cent NN0 UNC UNC
per diem AV0 or AJ0 or NN1 UNC UNC
per se AV0 UNC UNC
personae non gratae NN2 UNC UNC UNC
persona non grata NN1 UNC UNC UNC
pertaining to PRP VVG PRP
petit bourgeois NN1 UNC UNC
petite bougeoisie NN1 UNC UNC
petits bourgeois NN2 UNC UNC
piece de resistance NN1 UNC UNC UNC
pied a terre NN1 UNC UNC UNC
pina colada NN1 UNC UNC
pince nez NN0 UNC UNC
poco a poco AV0 UNC UNC UNC
point blank AV0 or AJ0 NN1 AJ0
poste restante NN1 or AV0 UNC UNC
post hoc AV0 or AJ0 UNC UNC
post meridiem AV0 UNC UNC
post mortem NN1 or AJ0 UNC UNC
pot pourri NN1 UNC UNC
prima donna NN1 UNC UNC
prima facie AJ0 or AV0 UNC UNC
primus inter pares NN1 UNC AJ0 UNC
prior to PRP AJ0 PRP
pro forma NN1 UNC UNC
pro rata AV0 or AJ0 UNC UNC
pro tem AV0 UNC UNC
provided that CJS VVN CJT
providing that CJS VVG CJT
pursuant to PRP AJ0 PRP
quid pro quo NN1 UNC UNC UNC
raison d'etre NN1 UNC UNC
rather than PRP AV0 CJS
relative to PRP AJ0 PRP
rigor mortis NN1 UNC UNC
roman a clef NN1 UNC UNC UNC
save for PRP VVI PRP
save that CJS VVI CJT
savoir faire NN1 UNC UNC
savoir vivre NN1 UNC UNC
seeing as CJS VVG CJS
seeing that CJS VVG CJT
semper fidelis AJ0 UNC UNC
shish kebab NN1 UNC UNC
sine die AV0 UNC UNC
sine qua non NN1 UNC UNC UNC
sinn fein NN1 UNC UNC
so called AJ0 AV0 VVN
so long as CJS AV0 AV0 CJS
some one PNI DT0 PNI
something like AV0 PNI PRP
so much as AV0 AV0 DT0 CJS
son et lumiere NN1 UNC UNC UNC
sort of AV0 NN1 PRF
so that CJS AV0 CJT
sotto voce AV0 or AJ0 UNC UNC
spaghetti bolognese NN1 UNC UNC
spot on AV0 or AJ0 NN1 AVP
status quo NN1 UNC UNC
straight forward AJ0 AV0 AJ0
subject to PRP AJ0 PRP
sub judice AV0 or AJ0 UNC UNC
sub poena NN1 UNC UNC
subsequent to PRP AJ0 PRP
such as PRP DT0 PRP
such that CJS DT0 CJT
sui generis AJ0 UNC UNC
sui juris AJ0 UNC UNC
summa cum laude AJ0 or AV0 UNC UNC UNC
super duper AJ0 AJ0 XXX
supposing that CJS VVG PRP
table d'hote NN1 UNC UNC
tabula rasa NN1 UNC UNC
tai chi NN1 UNC UNC
tai kwan do NN1 UNC UNC UNC
terra firma NN1 UNC UNC
terra incognita NN1 UNC UNC
thanks to PRP NN2 PRP
that is AV0 DT0 VBZ
that is to say AV0 DT0 VBZ TO0 VVI
through thick and thin AV0 PRP AJ0 CJC AJ0
time and again AV0 NN1 CJC AV0
to and fro AV0 PRP CJC AV0
tour de force NN1 UNC UNC UNC
tout court AJ0 UNC UNC
tout de suite AV0 UNC UNC UNC
ultra vires AJ0 or AV0 UNC UNC
under way AV0 PRP NN1
up front AJ0 or AV0 AVP AJ0
upside down AV0 or AJ0 NN1 AVP
up to PRP or AV0 AVP PRP/TO0
up to date AJ0 AVP TO0 NN1
up to the minute AJ0 AVP PRP AT0 NN1
up until PRP AVP CJS/PRP
upward of AV0 AV0 PRF
upwards of AV0 AV0 PRF
vice versa AV0 UNC UNC
vin de table NN1 UNC UNC UNC
vis a vis PRP UNC UNC UNC
viva voce NN1 or AJ0 or AV0 UNC UNC
vol au vent NN1 UNC UNC UNC
volte face NN1 UNC UNC
vox populi NN1 UNC UNC
well off AJ0 AV0 AVP
whether or not CJS CJS CJC XX0
wiener schnitzel NN1 UNC UNC
with a view to PRP PRP AT0 NN1 PRP
with reference to PRP PRP NN1 PRP
with regard to PRP PRP NN1 PRP
with relation to PRP PRP NN1 PRP
with respect to PRP PRP NN1 PRP

Simplified Wordclass Tags

This table lists, for each of the twelve simplified wordclass tags used by the pos attribute, the corresponding CLAWS C5 tags of which the class consists.
POS valuesignificancecombines
ADJadjectiveAJ0, AJC, AJS, CRD, DT0, ORD
ADVadverbAV0, AVP, AVQ, XX0
ARTarticleAT0
CONJconjunctionCJC, CJS, CJT
INTERJinterjectionITJ
PREPprepositionPRF, PRP, TO0
PRONpronounDPS, DTQ, EX0, PNI, PNP, PNQ, PNX
STOPpunctuationPOS, PUL, PUN, PUQ, PUR
SUBSTsubstantiveNN0, NN1, NN2, NP0, ONE, ZZ0, NN1-NP0, NP0-NN1
UNCunclassified, uncertain, or non-lexical wordUNC, AJ0-AV0, AV0-AJ0, AJ0-NN1, NN1-AJ0, AJ0-VVD, VVD-AJ0, AJ0-VVG, VVG-AJ0, AJ0-VVN, VVN-AJ0, AVP-PRP, PRP-AVP, AVQ-CJS, CJS-AVQ, CJS-PRP, PRP-CJS, CJT-DT0, DT0-CJT, CRD-PNI, PNI-CRD, NN1-VVB, VVB-NN1, NN1-VVG, VVG-NN1, NN2-VVZ, VVZ-NN2
VERBverbVBB, VBD, VBG, VBI, VBN, VBZ, VDB, VDD, VDG, VDI, VDN, VDZ, VHB, VHD, VHG, VHI, VHN, VHZ, VM0, VVB, VVD, VVG, VVI, VVN, VVZ, VVD-VVN, VVN-VVD

Software for the BNC

A design goal of the original BNC project was that it should not be delivered in a format which was proprietary or which required the use of any particular piece of software. This, together with the desire to conform to emerging international standards, was a key factor in determining the choice of SGML as the vehicle for the corpus interchange format. Six years after this decision, SGML is still a widely used international standard format for which many public domain and commercial utilities exist. Indeed, in the shape of XML, which is a simplified version of the original standard, SGML now dominates development of the world wide web, and hence of most sectors of the information processing community. New XML software appears almost every week, and it has been adopted by current ‘major players’ from Sun and IBM to Microsoft.

That said, it must be recognised that the requirements of corpus linguists and others wishing to make use of the BNC are often rather specialist, and therefore unlikely to be supported by mainstream commercially produced software. For this and other reasons, the research user of the BNC should expect to have to do some programming. This is another reason behind the choice of XML as a vehicle for the system: because of the wide take up of these formalisms, there exist many utility libraries and generic programming interfaces which greatly simplify such processes as extracting the tags from a file, selecting portions of the text according to its logical structure, picking out files with certain attributes by searching their headers, and so on.

The BNC uses XML in a simple and straightforward way described in the rest of this manual; simple programs can be readily written using standard UNIX utilities such as grep or perl to access the corpus just as plain text files. More reliably, programs can be written to application programming interfaces (APIs) such as the W3C's Document Object Model (DOM) or the Simple API for XML (SAX), using application libraries developed for almost every modern programming language (C, Perl, Python, tcl etc.). Information about such resources is not provided here, but is readily found on the World Wide Web: currently, one good place to start looking is www.xml.com. Increasingly, support for XML is built into standard utilities such as web browsers, database systems, and stylesheet processors offering a high level of sophistication are readily available.

When the BNC was first published, the top of the range personal computer might have as much as 50 or even 100 megabytes of disk storage and 8 Mb of RAM. At the time of writing, 50 or 100 gigabyte hard disks and 640 Mb of RAM are commonplace on entry level machines. It is thus quite likely that software capable of efficiently handling the 4.5 gigabytes of text which make up the BNC will also soon become commonplace. For the moment, however, it has to be recognized that general purpose tools for XML do not always cope very well with the large size of the whole corpus, although they can still be very useful for processing subsets extracted from it. To handle the whole of the corpus, special purpose indexing software will usually be necessary. Although such systems exist, they are often expensive or difficult to implement. For that reason, the XML edition of the BNC is still provided along with its own access software called Xaira (which can, incidentally, be used with any collection of XML texts, not simply the BNC). It should be emphasized however that use of the BNC is not synonymous with use of XAIRA. Most generic tools developed for corpus linguistics and NLP can be used with the BNC, although the tools may be vary in the extent to which they can make use of the markup in the corpus.

Whatever software is used, the programmer must have a clear understanding of the various elements tagged in the corpus, the contexts in which they may appear, and their intended semantics. The syntax of an XML document is defined by a schema. For TEI conformant texts, the TEI Header provides additional meta-information. The semantics of XML elements are provided by documentation such as that provided elsewhere in this manual.

The BNC delivery format

An XML document like the BNC must have the following components:
  • an SGML declaration defining various SGML-specific limits;
  • a document type declaration defining the elements entities and attributes which are legal in the document;
  • an SGML document instance, that is, the document text itself.

These three components are all included as part of the standard release of the corpus.

Text files

The BNC is delivered in compressed format, using the GNU tar utility. When expanded, it comprises 4054 distinct files, ranging in size from 1 to 45 Kbytes, and totalling about 1.5 Gbytes. Each file contains a single BNC document, i.e. a TEI header and its associated spoken or written text, and has the same name as the value of the id attribute on its <bncDoc> element. Files are grouped according to their names into a three-level hierarchy. For example, all files with names beginning AA are in a subdirectory AA, which is within a subdirectory A (along with all other subdirectories beginning with the letter A). Not all possible three-letter filenames are actually used.

Each single-letter subdirectory (A to K, excluding I) is delivered as a separate compressed archive file. The whole corpus should be unpacked into a single hierarchy, which, as delivered, is called BNC/Texts. The full name for the corpus text with identifier ABC is thus BNC/Texts/A/AB/ABC.

Note that the three-character identifiers used (and hence the directory structure) are entirely arbitrary and do not convey any information about the type of text contained. Each text contains a TEI Header which specifies all such meta information, either directly, or by reference to the corpus header, as described in section The header. For convenience, however, this release includes an XML file called bncIndex.xml and a simple finder file called bncfinder.dat either of which may be used to select files of particular types, as further discussed in Creating a subcorpus .

XML components

All ancillary files relating to the XML structure and processing of the corpus are included in the standard release within a subdirectory called XML. This contains the following files:
bncxml.rng
The BNC XML schema expressed in RelaxNG syntax
bncxml.rng
The BNC XML schema expressed in RelaxNG compact syntax
bncxml.rng
The BNC XML schema expressed in W3C schema language
bncxml.rng
The BNC XML schema expressed as a Document Type Definition (DTD)
driver1.sgm and driver2.sgm
Example XML driver files for processing the BNC.
bncfinder.dat and bncIndex.xml
Ancillary data files which may be used to facilitate access to the corpus (see Creating a subcorpus below.)

The remainder of this section discusses how these files may be used together as an XML document. This is by no means the only way of processing the corpus, of course, and is intended solely to demonstrate the function of the various files listed above. Some basic understanding of the components of an XML system is assumed.

A number of XSLT stylesheets are provided to demonstrate some simple tasks. These include:
display.xsl
converts a BNC text to an HTML format which can be read directly in a browser
justthetext.xsl
removes all the tagging from a BNC text; also removes the whole of the header.
onewordperline.xsl
converts a BNC text to a "one word per line" format
justthecodes.xsl
removes all the words from a BNC text; also removes the whole of the header.

The BNC corpus header

As discussed in section Basic structure above, the BNC consists of an overall corpus header, and a large number of distinct BNC documents, each with its own header. The corpus header must be present for an XML processor to work with any part of the Corpus, because the corpus header contains declarations of elements (such as the classification records) referred to by almost every part of the corpus.

The various elements making up the header and their functions are discussed in section The header. The corpus header itself is included in the file bncHdr.xml.

Creating a subcorpus

Two files are provided with this version of the corpus to assist in the selection of files according to their classification codes: bncfinder.dat and bncIndex.xml.

Using bncfinder.dat

The file bncfinder.dat is a straightforward ASCII format data file, containing one record for each file in the corpus Within each record, the following blank-delimited fields are present:
  • three-character identifier
  • size of text in Kbytes
  • number of <p> or <u> elements
  • number of <s> elements
  • number of <w> elements
  • number of orthographic words
  • all classification codes assigned to this text
Here are two typical records from this file (wrapped to fit on the page: in the original, each is a single line):
A00 107 112 423 6673 6894 alltim3 allava2 alltyp5 wriaag0 wriad0 wriase0 wriaty2 wriaud3 wridom4 wrilev2 wrimed3 wripp5 wrisam5 wrista2 writas3 KSP 41 259 306 1543 1427 alltim3 allava2 alltyp1 sdeage1 sdecla1 sdesex1 spolog2 sporeg1
This file can be rapidly searched with simple Unix utilities such as grep to identify subcorpora having particular characteristics: for example, the following command line will select records for all spoken demographic texts collected by female respondents:
$grep sdesex2 bncfinder.dat
The same information could of course be obtained by searching through the corpus texts themselves; however the above is likely to be much quicker.

The classification codes used in the bncfinder.dat file are listed in section Text and genre classification codes.

The lines selected by such a procedure can be processed in many ways. Here for example is a program written in the perl language which just creates the references needed to embed texts in a driver file like those above:
open(out, ">bncrefs.sgm") || die "Cannot create bncrefs.sgm: $!\n"; while (<>) { ($id,$k,$p,$s,$w, $o) = split; $ntexts ++; $kbsz += $k; $nsents += $s; $nwords += $o; print OUT "id\n"; } print "You have selected $ntexts texts, totalling $kbsz Kb, $nsents s-units and $nwords orthographic words\n" ;
Assuming that this program is stored in the file subcorp.prl, a command line like the following might be used to create a bncrefs.sgm file defining a subcorpus comprising all the spoken demographic texts collected by female respondents:
$grep sdesex2 bncfinder.dat | perl subcorp.prl

Using bncIndex.xml

The file bncIndex.xml contains similar information to that provided in bncfinder.dat, but formatted for processing as an XML document. It contains a single <bncIndex> element which encloses a series of <doc> elements, one for each text in the BNC. Each <doc> element contains the following subelements:
<idno>
The three character identifier of the text
<title>
Either the short title of the text, taken from the <title> in the <fileDesc>, or the phrase [Unscripted conversation]
<class>
A classification code applied to the text, as giuven by the target attribute of the <catRef> element. One <class> is given for each classification and the following attributes are used to specify it:
type
the identifying code specified by some <category> element in the corpus header
value
a numeric code which, when appended to the type value, gives the classification code for this text.
<genre>
The genre code assigned to this text in David Lee's classification scheme, as recorded in the <classCode> element in its header
<counts>
Size of this text measured in various ways, as specified by the following attributes:
kb
size in Kbytes
ow
size in orthographic words
w
number of <w> elements
s
number of <s> elements
Here are the XML elements for the two texts mentioned above (reformatted slightly to fit on the page):
<doc> <idno>A00</idno> <title>[ACET factsheets &amp; newsletters].</title> <class type="alltim" value="3"/><class type="allava" value="2"/> <class type="alltyp" value="5"/><class type="wriaag" value="0"/> <class type="wriad" value="0"/><class type="wriase" value="0"/> <class type="wriaty" value="2"/><class type="wriaud" value="3"/> <class type="wridom" value="4"/><class type="wrilev" value="2"/> <class type="wrimed" value="3"/><class type="wripp" value="5"/> <class type="wrisam" value="5"/><class type="wrista" value="2"/> <class type="writas" value="3"/> <genre>W_non_ac_medicine</genre> <counts kb="107" ow="6894" w="6673" s="423"/> </doc> <!-- ... --> <doc> <idno>KSP</idno> <title>[Spontaneous conversation]</title> <class type="alltim" value="3"/><class type="allava" value="2"/> <class type="alltyp" value="1"/><class type="sdeage" value="1"/> <class type="sdecla" value="1"/><class type="sdesex" value="1"/> <class type="spolog" value="2"/><class type="sporeg" value="1"/> <genre>S_conv</genre> <counts kb="41" ow="1427" w="1543" s="306"/> </doc>
Although XML files do not require a DTD, one is also provided in the directory for convenience. It is called bncIndex.dtd and listed below:
<!ELEMENT bncIndex (doc+) > <!ELEMENT doc (idno, title, class+, genre, count)> <!ELEMENT idno (#PCDATA) > <!ELEMENT title (#PCDATA) > <!ELEMENT class EMPTY > <!ATTLIST class type CDATA #REQUIRED value CDATA #REQUIRED> <!ELEMENT genre (#PCDATA) > <!ELEMENT counts EMPTY > <!ATTLIST counts kb CDATA #REQUIRED ow CDATA #REQUIRED w CDATA #REQUIRED s CDATA #REQUIRED>

XML files may be processed in many different ways, but one of the most convenient is to use an XSLT stylesheet to transform it for display or search it. XSLT is a very high-level programming language defined by the W3C, which offers the ability to transform and process XML documents in a variety of ways. It is (at the time of writing) the language of choice for manipulating XML on the web, where a large number of free tools and tutorials may also be found.

To give a flavour of the language, the following XSLT stylesheet will process the bncIndex.xml selecting only texts with classification "wridom4", and displaying their titles, identifiers, and size as an HTML format table:
<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0" > <xsl:output method="html"/> <xsl:template match="bncIndex"> <html> <center> <h2>There are <xsl:value-of select="count(doc/class[@type='wridom' and @value='4'])"/> BNC World Files with wridom classified as 4</h2> <table> <xsl:apply-templates select="doc"/> </table> </center> </html> </xsl:template> <xsl:template match="doc/class[@type='wridom' and @value='4']" > <tr> <td><xsl:value-of select="../idno"/></td> <td><xsl:value-of select="../title"/></td> <td><xsl:value-of select="../genre"/></td> <td><xsl:value-of select="../counts/@kb"/></td> <td><xsl:value-of select="../counts/@ow"/></td> </tr> </xsl:template> </xsl:stylesheet>

List of Sources

This section gives brief descriptions for the sources of all texts included in the corpus.

  1. 6688 words from [ACET factsheets & newsletters]. Aids Care Education & Training London 1991-09
  2. 7851 words from [ACET AIDS leaflets] Aids Care Education & Training London 1991
  3. 3378 words from ACET Annual Review 1990/91. Aids Care Education & Training London 1991
  4. 19310 words from Amnesty. Amnesty International London 1991-06
  5. 38875 words from Art criticism: a user's guide. Darracott, Joseph Bellew Publishing Company Ltd London 1991
  6. 41110 words from Authors. Miller, Karl Oxford University Press Oxford 1989 60-163
  7. 35807 words from So you want to be an actor? Rendle, Adrian A & C Black (Publishers) Ltd London 1991 5-107
  8. 39139 words from The tragedy of belief. Fulton, John Oxford University Press Oxford 1991
  9. 40097 words from The big glass. Josipovici, Gabriel Carcanet Press Manchester 1991
  10. 5782 words from [CAMRA fact sheets] CAMRA St Albans
  11. 11686 words from Trouble brewing. Holder, R Powers, A Parissien, S Langford, N Gamston, David CAMRA St Albans 1991
  12. 30073 words from Caterer & Hotelkeeper. Reed Publishing Group Sutton, Surrey 1991
  13. 36147 words from A classic English crime. Heald, Tim Pavilion Books Ltd London 1990 96-216
  14. 14737 words from The seventh Birmingham International Film & TV Festival. Enterprise Magazines Ltd Birmingham 1991
  15. 39211 words from Part of the furniture. Falk, Michael Bellew Publishing Company Ltd London 1991 1-146
  16. 35764 words from Gardeners' World. Redwood Publishing Company. London 1991
  17. 39656 words from Gliding safety. Piggott, Derek A & C Black (Publishers) Ltd London 1991 pp 9-91
  18. 24448 words from [Health promotion and education leaflets] u.p.
  19. 38619 words from An inside job: policing and police culture in Britain. Young, Malcolm Oxford University Press Oxford 1991 2-106
  20. 40572 words from Jay loves Lucy. Cooper, Fiona Serpent's Tail London 1991 11-154
  21. 23736 words from Winning karate competition. Mitchell, David A & C Black (Publishers) Ltd London 1991 10-108
  22. 39784 words from King Cameron. Craig, David Carcanet Press Manchester 1991 15-113
  23. 41603 words from Leonard Cohen: prophet of the heart. Dorman, Loranne S Rawlins, Clive L Omnibus Press London 1990
  24. 32309 words from Nudists may be encountered. Scott, Mary Serpent's Tail London 1991 7-115
  25. 1515 words from [Official leaflets] u.p.
  26. 39428 words from The pursuit of mind. Tallis, Raymond Robinson, Howard Carcanet Press Manchester 1991
  27. 35634 words from So very English. Rowe, Martha Serpent's Tail London 1990
  28. 19953 words from Tennis World. Presswatch Sussex 1991-08
  29. 10589 words from Fitness with weights. Fleet, Alan A & C Black (Publishers) Ltd London 1991
  30. 31862 words from Woodworker. Argus Specialist Publications Hemel Hempstead 1991-08
  31. 18464 words from [Age Concern fact sheets] Age Concern England Mitcham
  32. 23199 words from [Age Concern newsletter and information] Age Concern England Mitcham
  33. 40836 words from BR in the eighties. St John Thomas, David Whitehouse, Patrick David & Charles Publishers plc Newton Abbot, Devon 1990
  34. 46386 words from A ballet-maker's handbook. Lawson, Joan A & C Black (Publishers) Ltd London 1991
  35. 4455 words from [CAMRA information leaflets] CAMRA St Albans
  36. 22108 words from What's brewing. CAMRA St Albans 1991-10
  37. 30080 words from Climber and Hill Walker. George Outram & Company Ltd Glasgow 1991-08
  38. 32288 words from Do It Yourself Magazine. Link House Magazines Ltd Croydon 1991-09
  39. 23352 words from Dogs Today. Burlington Publishing Company Ltd Windsor 1992-02, 1992-04
  40. 34134 words from Dostoevsky. Jones, John Clarendon Press Oxford 1983
  41. 39977 words from Electronics and Wireless World. Reed Business Publishing Group Ltd Sutton, Surrey 1991-09
  42. 40696 words from Exploding English. Bergonzi, Bernard Clarendon Press Oxford 1990
  43. 47238 words from Studies in Ezra Pound. Davie, Donald Carcanet Press London 1991
  44. 4142 words from Independent, electronic edition of 1989-10-02: Arts section. Newspaper Publishing plc London 1989
  45. 9537 words from Independent, electronic edition of 1989-10-02: Business section. Newspaper Publishing plc London 1989
  46. 8717 words from Independent, electronic edition of 1989-10-02: Editorials Newspaper Publishing plc London 1989
  47. 9909 words from Independent, electronic edition of 1989-10-02: Foreign news pages. Newspaper Publishing plc London 1989
  48. 3007 words from Independent, electronic edition of 1989-10-02: Gazette section. Newspaper Publishing plc London 1989
  49. 13407 words from Independent, electronic edition of 1989-10-02: Home news pages. Newspaper Publishing plc London 1989
  50. 1842 words from Independent, electronic edition of 1989-10-02: Listings section. Newspaper Publishing plc London 1989
  51. 1788 words from Independent, electronic edition of 1989-10-02: Living section. Newspaper Publishing plc London 1989
  52. 4808 words from Independent, electronic edition of 1989-10-02: Science pages. Newspaper Publishing plc London 1989
  53. 14330 words from Independent, electronic edition of 1989-10-02: Sport section. Newspaper Publishing plc London 1989
  54. 2488 words from Independent, electronic edition of 1989-10-02: Frontpages. Newspaper Publishing plc London 1989
  55. 1548 words from Independent, electronic edition of 1989-10-03: Arts section. Newspaper Publishing plc London 1989
  56. 11118 words from Independent, electronic edition of 1989-10-03: Business section. Newspaper Publishing plc London 1989
  57. 8816 words from Independent, electronic edition of 1989-10-03: Editorials Newspaper Publishing plc London 1989
  58. 4059 words from Independent, electronic edition of 1989-10-03: Focus section. Newspaper Publishing plc London 1989
  59. 22274 words from Independent, electronic edition of 1989-10-03: Foreign news pages. Newspaper Publishing plc London 1989
  60. 3840 words from Independent, electronic edition of 1989-10-03: Gazette section. Newspaper Publishing plc London 1989
  61. 3223 words from Independent, electronic edition of 1989-10-03: Health pages. Newspaper Publishing plc London 1989
  62. 15112 words from Independent, electronic edition of 1989-10-03: Home news pages. Newspaper Publishing plc London 1989
  63. 1615 words from Independent, electronic edition of 1989-10-03: Listings section. Newspaper Publishing plc London 1989
  64. 1352 words from Independent, electronic edition of 1989-10-03: Business section. Newspaper Publishing plc London 1989
  65. 8163 words from Independent, electronic edition of 1989-10-03: Sport pages. Newspaper Publishing plc London 1989
  66. 2420 words from Independent, electronic edition of 1989-10-03: Frontpages. Newspaper Publishing plc London 1989
  67. 3247 words from Independent, electronic edition of 1989-10-04: Living section. Newspaper Publishing plc London 1989
  68. 3383 words from Independent, electronic edition of 1989-10-04: Arts section. Newspaper Publishing plc London 1989
  69. 10899 words from Independent, electronic edition of 1989-10-04: Business section. Newspaper Publishing plc London 1989
  70. 8475 words from Independent, electronic edition of 1989-10-04: Editorials Newspaper Publishing plc London 1989
  71. 11135 words from Independent, electronic edition of 1989-10-04: Foreign news pages. Newspaper Publishing plc London 1989
  72. 3349 words from Independent, electronic edition of 1989-10-04: Gazette section. Newspaper Publishing plc London 1989
  73. 15224 words from Independent, electronic edition of 1989-10-04: Home news pages. Newspaper Publishing plc London 1989
  74. 2012 words from Independent, electronic edition of 1989-10-04: Listings section. Newspaper Publishing plc London 1989
  75. 3299 words from Independent, electronic edition of 1989-10-04: Living section. Newspaper Publishing plc London 1989
  76. 2632 words from Independent, electronic edition of 1989-10-04: Media section. Newspaper Publishing plc London 1989
  77. 12646 words from Independent, electronic edition of 1989-10-04: Sport pages. Newspaper Publishing plc London 1989
  78. 3151 words from Independent, electronic edition of 1989-10-04: Frontpages. Newspaper Publishing plc London 1989
  79. 6149 words from Independent, electronic edition of 1989-10-05: Arts section. Newspaper Publishing plc London 1989
  80. 11826 words from Independent, electronic edition of 1989-10-05: Business section. Newspaper Publishing plc London 1989
  81. 8443 words from Independent, electronic edition of 1989-10-05: Editorials Newspaper Publishing plc London 1989
  82. 2948 words from Independent, electronic edition of 1989-10-05: Education section. Newspaper Publishing plc London 1989
  83. 4197 words from Independent, electronic edition of 1989-10-05: Focus section. Newspaper Publishing plc London 1989
  84. 9594 words from Independent, electronic edition of 1989-10-05: Foreign news pages. Newspaper Publishing plc London 1989
  85. 2906 words from Independent, electronic edition of 1989-10-05: Gazette section. Newspaper Publishing plc London 1989
  86. 15591 words from Independent, electronic edition of 1989-10-05: Home news pages. Newspaper Publishing plc London 1989
  87. 2818 words from Independent, electronic edition of 1989-10-05: Listings section. Newspaper Publishing plc London 1989
  88. 14275 words from Independent, electronic edition of 1989-10-05: Sport pages. Newspaper Publishing plc London 1989
  89. 2831 words from Independent, electronic edition of 1989-10-05: Frontpages. Newspaper Publishing plc London 1989
  90. 5512 words from Independent, electronic edition of 1989-10-06: Arts section. Newspaper Publishing plc London 1989
  91. 10782 words from Independent, electronic edition of 1989-10-06: Business section. Newspaper Publishing plc London 1989
  92. 8130 words from Independent, electronic edition of 1989-10-06: Editorials Newspaper Publishing plc London 1989
  93. 10945 words from Independent, electronic edition of 1989-10-06: Foreign news pages. Newspaper Publishing plc London 1989
  94. 3615 words from Independent, electronic edition of 1989-10-06: Gazette section. Newspaper Publishing plc London 1989
  95. 15120 words from Independent, electronic edition of 1989-10-06: Home news pages. Newspaper Publishing plc London 1989
  96. 3420 words from Independent, electronic edition of 1989-10-06: Law section. Newspaper Publishing plc London 1989
  97. 2301 words from Independent, electronic edition of 1989-10-06: Listings section. Newspaper Publishing plc London 1989
  98. 12779 words from Independent, electronic edition of 1989-10-06: Sport pages. Newspaper Publishing plc London 1989
  99. 1914 words from Independent, electronic edition of 1989-10-06: Frontpages. Newspaper Publishing plc London 1989
  100. 7247 words from Independent, electronic edition of 1989-10-07: Arts section. Newspaper Publishing plc London 1989
  101. 5840 words from Independent, electronic edition of 1989-10-07: Book reviews. Newspaper Publishing plc London 1989
  102. 9568 words from Independent, electronic edition of 1989-10-07: Business section. Newspaper Publishing plc London 1989
  103. 3127 words from Independent, electronic edition of 1989-10-07: Motoring pages. Newspaper Publishing plc London 1989
  104. 2234 words from Independent, electronic edition of 1989-10-07: Antiques pages. Newspaper Publishing plc London 1989
  105. 8503 words from Independent, electronic edition of 1989-10-07: Editorials Newspaper Publishing plc London 1989
  106. 1918 words from Independent, electronic edition of 1989-10-07: Focus section. Newspaper Publishing plc London 1989
  107. 8234 words from Independent, electronic edition of 1989-10-07: Food pages. Newspaper Publishing plc London 1989
  108. 9268 words from Independent, electronic edition of 1989-10-07: Foreign news pages. Newspaper Publishing plc London 1989
  109. 1831 words from Independent, electronic edition of 1989-10-07: Gardening pages. Newspaper Publishing plc London 1989
  110. 3319 words from Independent, electronic edition of 1989-10-07: Gazette section. Newspaper Publishing plc London 1989
  111. 13238 words from Independent, electronic edition of 1989-10-07: Home news pages. Newspaper Publishing plc London 1989
  112. 1321 words from Independent, electronic edition of 1989-10-07: Listings section. Newspaper Publishing plc London 1989
  113. 4555 words from Independent, electronic edition of 1989-10-07: Business section. Newspaper Publishing plc London 1989
  114. 3396 words from Independent, electronic edition of 1989-10-07: Property section. Newspaper Publishing plc London 1989
  115. 14392 words from Independent, electronic edition of 1989-10-07: Sport pages. Newspaper Publishing plc London 1989
  116. 2875 words from Independent, electronic edition of 1989-10-07: Style section. Newspaper Publishing plc London 1989
  117. 6066 words from Independent, electronic edition of 1989-10-07: Frontpages. Newspaper Publishing plc London 1989
  118. 7721 words from Independent, electronic edition of 1989-10-07: Travel section. Newspaper Publishing plc London 1989
  119. 3928 words from Independent, electronic edition of 1989-10-09: Arts section. Newspaper Publishing plc London 1989
  120. 10136 words from Independent, electronic edition of 1989-10-09: Business section. Newspaper Publishing plc London 1989
  121. 8609 words from Independent, electronic edition of 1989-10-09: Editorials Newspaper Publishing plc London 1989
  122. 10104 words from Independent, electronic edition of 1989-10-09: Foreign news pages. Newspaper Publishing plc London 1989
  123. 4143 words from Independent, electronic edition of 1989-10-09: Gazette section. Newspaper Publishing plc London 1989
  124. 12616 words from Independent, electronic edition of 1989-10-09: Home news pages. Newspaper Publishing plc London 1989
  125. 3197 words from Independent, electronic edition of 1989-10-09: Living section. Newspaper Publishing plc London 1989
  126. 4326 words from Independent, electronic edition of 1989-10-09: Science section. Newspaper Publishing plc London 1989
  127. 13667 words from Independent, electronic edition of 1989-10-09: Sport section. Newspaper Publishing plc London 1989
  128. 2455 words from Independent, electronic edition of 1989-10-09: Frontpages. Newspaper Publishing plc London 1989
  129. 3184 words from Independent, electronic edition of 1989-10-10: Arts section. Newspaper Publishing plc London 1989
  130. 12044 words from Independent, electronic edition of 1989-10-10: Business section. Newspaper Publishing plc London 1989
  131. 8408 words from Independent, electronic edition of 1989-10-10: Editorials Newspaper Publishing plc London 1989
  132. 3355 words from Independent, electronic edition of 1989-10-10: Focus section. Newspaper Publishing plc London 1989
  133. 12394 words from Independent, electronic edition of 1989-10-10: Foreign news pages. Newspaper Publishing plc London 1989
  134. 3546 words from Independent, electronic edition of 1989-10-10: Gazette section. Newspaper Publishing plc London 1989
  135. 2938 words from Independent, electronic edition of 1989-10-10: Health pages. Newspaper Publishing plc London 1989
  136. 13324 words from Independent, electronic edition of 1989-10-10: Home news pages. Newspaper Publishing plc London 1989
  137. 4422 words from Independent, electronic edition of 1989-10-10: Listings section. Newspaper Publishing plc London 1989
  138. 10230 words from Independent, electronic edition of 1989-10-10: Sport section. Newspaper Publishing plc London 1989
  139. 2831 words from Independent, electronic edition of 1989-10-10: Frontpages. Newspaper Publishing plc London 1989
  140. 3051 words from Independent, electronic edition of 1989-10-11: Architecture section. Newspaper Publishing plc London 1989
  141. 3816 words from Independent, electronic edition of 1989-10-11: Arts section. Newspaper Publishing plc London 1989
  142. 12109 words from Independent, electronic edition of 1989-10-11: Business section. Newspaper Publishing plc London 1989
  143. 8651 words from Independent, electronic edition of 1989-10-11: Editorials Newspaper Publishing plc London 1989
  144. 10104 words from Independent, electronic edition of 1989-10-11: Foreign news pages. Newspaper Publishing plc London 1989
  145. 3673 words from Independent, electronic edition of 1989-10-11: Gazette section. Newspaper Publishing plc London 1989
  146. 15623 words from Independent, electronic edition of 1989-10-11: Home news pages. Newspaper Publishing plc London 1989
  147. 3039 words from Independent, electronic edition of 1989-10-11: Listings section. Newspaper Publishing plc London 1989
  148. 3130 words from Independent, electronic edition of 1989-10-11: Living section. Newspaper Publishing plc London 1989
  149. 2576 words from Independent, electronic edition of 1989-10-11: Media section. Newspaper Publishing plc London 1989
  150. 10926 words from Independent, electronic edition of 1989-10-11: Sport section. Newspaper Publishing plc London 1989
  151. 1878 words from Independent, electronic edition of 1989-10-11: Frontpages. Newspaper Publishing plc London 1989
  152. 5709 words from Independent, electronic edition of 1989-10-12: Arts section. Newspaper Publishing plc London 1989
  153. 8322 words from Independent, electronic edition of 1989-10-12: Editorials Newspaper Publishing plc London 1989
  154. 3756 words from Independent, electronic edition of 1989-10-12: Education section. Newspaper Publishing plc London 1989
  155. 3792 words from Independent, electronic edition of 1989-10-12: Focus section. Newspaper Publishing plc London 1989
  156. 11933 words from Independent, electronic edition of 1989-10-12: Foreign news pages. Newspaper Publishing plc London 1989
  157. 3299 words from Independent, electronic edition of 1989-10-12: Gazette section. Newspaper Publishing plc London 1989
  158. 16373 words from Independent, electronic edition of 1989-10-12: Home news pages. Newspaper Publishing plc London 1989
  159. 2007 words from Independent, electronic edition of 1989-10-12: Listings section. Newspaper Publishing plc London 1989
  160. 11860 words from Independent, electronic edition of 1989-10-12: Sport section. Newspaper Publishing plc London 1989
  161. 3740 words from Independent, electronic edition of 1989-10-12: Frontpages. Newspaper Publishing plc London 1989
  162. 5184 words from Independent, electronic edition of 1989-10-13: Arts section. Newspaper Publishing plc London 1989
  163. 10506 words from Independent, electronic edition of 1989-10-13: Business section. Newspaper Publishing plc London 1989
  164. 8095 words from Independent, electronic edition of 1989-10-13: Editorials Newspaper Publishing plc London 1989
  165. 10883 words from Independent, electronic edition of 1989-10-13: Foreign news pages. Newspaper Publishing plc London 1989
  166. 2808 words from Independent, electronic edition of 1989-10-13: Gazette section. Newspaper Publishing plc London 1989
  167. 17278 words from Independent, electronic edition of 1989-10-13: Home news pages. Newspaper Publishing plc London 1989
  168. 4581 words from Independent, electronic edition of 1989-10-13: Law pages. Newspaper Publishing plc London 1989
  169. 3151 words from Independent, electronic edition of 1989-10-13: Listings section. Newspaper Publishing plc London 1989
  170. 11747 words from Independent, electronic edition of 1989-10-13: Sport section. Newspaper Publishing plc London 1989
  171. 2671 words from Independent, electronic edition of 1989-10-13: Frontpages. Newspaper Publishing plc London 1989
  172. 5206 words from Independent, electronic edition of 1989-10-14: Arts section. Newspaper Publishing plc London 1989
  173. 5140 words from Independent, electronic edition of 1989-10-14: Book reviews. Newspaper Publishing plc London 1989
  174. 10361 words from Independent, electronic edition of 1989-10-14: Business section. Newspaper Publishing plc London 1989
  175. 3139 words from Independent, electronic edition of 1989-10-14: Motoring pages. Newspaper Publishing plc London 1989
  176. 2435 words from Independent, electronic edition of 1989-10-14: Antiques pages. Newspaper Publishing plc London 1989
  177. 8599 words from Independent, electronic edition of 1989-10-14: Editorials Newspaper Publishing plc London 1989
  178. 2856 words from Independent, electronic edition of 1989-10-14: Food pages. Newspaper Publishing plc London 1989
  179. 9732 words from Independent, electronic edition of 1989-10-14: Foreign news pages. Newspaper Publishing plc London 1989
  180. 2056 words from Independent, electronic edition of 1989-10-14: Gardening pages. Newspaper Publishing plc London 1989
  181. 3331 words from Independent, electronic edition of 1989-10-14: Gazette section. Newspaper Publishing plc London 1989
  182. 15169 words from Independent, electronic edition of 1989-10-14: Home news pages. Newspaper Publishing plc London 1989
  183. 6730 words from Independent, electronic edition of 1989-10-14: Business section. Newspaper Publishing plc London 1989
  184. 3508 words from Independent, electronic edition of 1989-10-14: Property section. Newspaper Publishing plc London 1989
  185. 15317 words from Independent, electronic edition of 1989-10-14: Sport section. Newspaper Publishing plc London 1989
  186. 2483 words from Independent, electronic edition of 1989-10-14: Style section. Newspaper Publishing plc London 1989
  187. 5206 words from Independent, electronic edition of 1989-10-14: Frontpages. Newspaper Publishing plc London 1989
  188. 7482 words from Independent, electronic edition of 1989-10-14: Travel pages. Newspaper Publishing plc London 1989
  189. 41884 words from Inside the RUC. Brewer, John Magee, Kathleen Clarendon Press Oxford 1991
  190. 15724 words from KBS open learning MBA programme. BPP Publishing Ltd London 1989
  191. 44439 words from Invasion. Millin, Bill The Book Guild Ltd Lewes, East Sussex 1991
  192. 25676 words from Media and voters. Miller, William L Clarendon Press Oxford 1991
  193. 7185 words from National Insurance Statutory Sick Pay. Statutory Maternity Pay from 6 April 1991 for employers. u.p.
  194. 41479 words from One step backwards, two steps forward. Pethybridge, Roger Clarendon Press Oxford 1990 22-144
  195. 34043 words from Outdoor Action. Hawker Consumer Publications London 1991-08
  196. 43862 words from The people's peace: British history 1945-1989. Morgan, Kenneth O Oxford University Press Oxford 1990 397-517
  197. 32657 words from [RAFA journal and miscellaneous info] Royal Air Force Association
  198. 48486 words from Michael Ramsey: a life. Chadwick, Owen Oxford University Press Oxford 1991
  199. 40471 words from Reflections of a statesman: the writings and speeches of Enoch Powell. Powell, Enoch selected by Rex Collings Bellew Publishing Company Ltd London 1991 511-615
  200. 44116 words from The rock file. York, Norton Oxford University Press Oxford 1991
  201. 47071 words from The savage and the city in the work of T S Eliot. Crawford, Robert Clarendon Press Oxford 1990
  202. 32474 words from Seeing in the dark. Breakwell, Ian Hammond, Paul Serpent's Tail London 1990
  203. 46191 words from Sexual dissidence. Dollimore, Jonathan Clarendon Press Oxford 1991
  204. 25383 words from I was a teenage sex pistol. Silverton, Pete Matlock, Glen Omnibus Press London 1990
  205. 37784 words from Thatcherism and British politics. Kavanagh, Dennis Oxford University Press Oxford 1990 209-319
  206. 43756 words from Twentieth century British history. Oxford University Press Oxford 1991 1-106
  207. 36828 words from Three times table. Maitland, Sara Chatto & Windus Ltd London 1990
  208. 42841 words from Advice from the top. Oates, David Ezra, Derek David & Charles Publishers plc Newton Abbot, Devon 1989
  209. 31881 words from Africa's way: a journey from the past. Cockcroft, Laurence I B Tauris & Company Ltd London 1990
  210. 33552 words from Amongst women. McGahern, J Faber & Faber Ltd London 1990
  211. 27767 words from Angler's Mail. mixed u.p.
  212. 39726 words from Marxism and anthropology: the history of a relationship. Bloch, Maurice Oxford University Press Oxford 1984 1-96
  213. 43745 words from Arctic odyssey: travelling Arctic Europe. Sale, Richard Oliver, Tony The Crowood Press Marlborough, Wilts 1991
  214. 26310 words from Oxford Art Journal. Oxford University Press Oxford 1991
  215. 43110 words from Finding a voice: Asian women in Britain. Wilson, Amrit Virago Press Ltd London 1988
  216. 30010 words from Autocar and Motor. Haymarket Magazines Ltd Teddington, Middlesex 1990-10-10; 1990-03-1
  217. 36281 words from Autocar and Motor. Haymarket Magazines Ltd Teddington, Middlesex 1991
  218. 29220 words from Sport and the British. Holt, Richard Oxford University Press Oxford 1989
  219. 35423 words from Best. Periodical Publishers Assoc. London 1991-04-11; 1991-01-9
  220. 40519 words from The best man to die. Rendell, Ruth Arrow Books Ltd London 1981
  221. 39146 words from Billy Bayswater. Watts, Nigel Hodder & Stoughton Ltd Sevenoaks, Kent 1990
  222. 32851 words from Your body clock: how to live with it. Waterhouse, J M Waterhouse M E Minors, D S Oxford University Press Oxford 1990
  223. 39347 words from A day in the life of the British Army. Dewar, Michael David & Charles Publishers plc Newton Abbot, Devon 1990
  224. 36970 words from Converting old buildings. Johnson, Alan David & Charles Publishers plc Newton Abbot, Devon 1988
  225. 33055 words from Bury the dead. Carter, Peter Oxford University Press Oxford 1986
  226. 37392 words from C S Lewis: a biography. Wilson, A N Collins UK 1990
  227. 41449 words from Country Living. The National Magazine Company Ltd London 1991
  228. 26408 words from Caterer & Hotelkeeper. Reed Publishing Group Sutton, Surrey 1991-01-9725
  229. 19322 words from [Charity leaflets and letters] u.p.
  230. 38018 words from Charles and Diana. Junor, Penny Headline Book Publishing plc London 1991
  231. 26373 words from The charnel house. McGrath, Eamonn The Blackstaff Press Ltd Belfast 1990
  232. 24148 words from [Church magazines and leaflets] u.p.
  233. 40872 words from British cinema: the lights that failed. Park, James B T Batsford Ltd London 1990
  234. 21492 words from Clothes Show. Redwood Publishing Company. London 1991
  235. 18090 words from Clothes Show. Redwood Publishing Company. London 1991
  236. 5263 words from The Guardian, electronic edition of 1989-11-08: Arts section. Guardian Newspapers Ltd London 1989
  237. 8406 words from The Guardian, electronic edition of 1989-11-08: Business section. Guardian Newspapers Ltd London 1989
  238. 289 words from The Guardian, electronic edition of 1989-11-08: Business section. Guardian Newspapers Ltd London 1989
  239. 8802 words from The Guardian, electronic edition of 1989-11-08: Foreign news pages. Guardian Newspapers Ltd London 1989
  240. 24367 words from The Guardian, electronic edition of 1989-11-08: Home news pages. Guardian Newspapers Ltd London 1989
  241. 711 words from The Guardian, electronic edition of 1989-11-08: Leisure pages. Guardian Newspapers Ltd London 1989
  242. 10463 words from The Guardian, electronic edition of 1989-11-08: News and features. Guardian Newspapers Ltd London 1989
  243. 10300 words from The Guardian, electronic edition of 1989-11-08: Sport section. Guardian Newspapers Ltd London 1989
  244. 844 words from The Guardian, electronic edition of 1989-11-08: Foreign news pages. Guardian Newspapers Ltd London 1989
  245. 218 words from The Guardian, electronic edition of 1989-11-11: Applied Science pages. Guardian Newspapers Ltd London 1989
  246. 7087 words from The Guardian, electronic edition of 1989-11-11: Arts section. Guardian Newspapers Ltd London 1989
  247. 390 words from The Guardian, electronic edition of 1989-11-11: Religious affairs stories. Guardian Newspapers Ltd London 1989
  248. 9796 words from The Guardian, electronic edition of 1989-11-11: Business section. Guardian Newspapers Ltd London 1989
  249. 833 words from The Guardian, electronic edition of 1989-11-11: Business section. Guardian Newspapers Ltd London 1989
  250. 11070 words from The Guardian, electronic edition of 1989-11-11: Foreign news pages. Guardian Newspapers Ltd London 1989
  251. 13204 words from The Guardian, electronic edition of 1989-11-11: Home news pages. Guardian Newspapers Ltd London 1989
  252. 13418 words from The Guardian, electronic edition of 1989-11-11: Leisure pages. Guardian Newspapers Ltd London 1989
  253. 349 words from The Guardian, electronic edition of 1989-11-11: Applied Science pages. Guardian Newspapers Ltd London 1989
  254. 2584 words from The Guardian, electronic edition of 1989-11-11: News and features. Guardian Newspapers Ltd London 1989
  255. 12089 words from The Guardian, electronic edition of 1989-11-11: Sport section. Guardian Newspapers Ltd London 1989
  256. 6983 words from The Guardian, electronic edition of 1989-11-11: Foreign news pages. Guardian Newspapers Ltd London 1989
  257. 5416 words from The Guardian, electronic edition of 1989-11-23: Applied Science pages. Guardian Newspapers Ltd London 1989
  258. 18424 words from The Guardian, electronic edition of 1989-11-23: Arts section. Guardian Newspapers Ltd London 1989
  259. 3141 words from The Guardian, electronic edition of 1989-11-23: Business section. Guardian Newspapers Ltd London 1989
  260. 8029 words from The Guardian, electronic edition of 1989-11-23: Business section. Guardian Newspapers Ltd London 1989
  261. 8071 words from The Guardian, electronic edition of 1989-11-23: Foreign news pages. Guardian Newspapers Ltd London 1989
  262. 22847 words from The Guardian, electronic edition of 1989-11-23: Home news pages. Guardian Newspapers Ltd London 1989
  263. 1032 words from The Guardian, electronic edition of 1989-11-23: Leisure pages. Guardian Newspapers Ltd London 1989
  264. 3453 words from The Guardian, electronic edition of 1989-11-23: News and features. Guardian Newspapers Ltd London 1989
  265. 11622 words from The Guardian, electronic edition of 1989-11-23: Sport section. Guardian Newspapers Ltd London 1989
  266. 2346 words from The Guardian, electronic edition of 1989-11-23: Foreign news pages. Guardian Newspapers Ltd London 1989
  267. 6474 words from The Guardian, electronic edition of 1989-12-07: Applied Science pages. Guardian Newspapers Ltd London 1989
  268. 1577 words from The Guardian, electronic edition of 1989-12-07: Arts section. Guardian Newspapers Ltd London 1989
  269. 660 words from The Guardian, electronic edition of 1989-12-07: Religious affairs stories. Guardian Newspapers Ltd London 1989
  270. 8415 words from The Guardian, electronic edition of 1989-12-07: Business section. Guardian Newspapers Ltd London 1989
  271. 285 words from The Guardian, electronic edition of 1989-12-07: Business section. Guardian Newspapers Ltd London 1989
  272. 10362 words from The Guardian, electronic edition of 1989-12-07: Foreign news pages. Guardian Newspapers Ltd London 1989
  273. 22677 words from The Guardian, electronic edition of 1989-12-07: Home news pages. Guardian Newspapers Ltd London 1989
  274. 5212 words from The Guardian, electronic edition of 1989-12-07: News and features. Guardian Newspapers Ltd London 1989
  275. 12419 words from The Guardian, electronic edition of 1989-12-07: Sport section. Guardian Newspapers Ltd London 1989
  276. 2333 words from The Guardian, electronic edition of 1989-12-07: Foreign news pages. Guardian Newspapers Ltd London 1989
  277. 6522 words from The Guardian, electronic edition of 1989-12-08: Applied Science pages. Guardian Newspapers Ltd London 1989
  278. 2265 words from The Guardian, electronic edition of 1989-12-08: Arts section. Guardian Newspapers Ltd London 1989
  279. 10117 words from The Guardian, electronic edition of 1989-12-08: Business section. Guardian Newspapers Ltd London 1989
  280. 10204 words from The Guardian, electronic edition of 1989-12-08: Foreign news pages. Guardian Newspapers Ltd London 1989
  281. 22746 words from The Guardian, electronic edition of 1989-12-08: Home news pages. Guardian Newspapers Ltd London 1989
  282. 832 words from The Guardian, electronic edition of 1989-12-08: Leisure pages. Guardian Newspapers Ltd London 1989
  283. 6610 words from The Guardian, electronic edition of 1989-12-08: News and features. Guardian Newspapers Ltd London 1989
  284. 9929 words from The Guardian, electronic edition of 1989-12-08: Sport section. Guardian Newspapers Ltd London 1989
  285. 2666 words from The Guardian, electronic edition of 1989-12-08: Foreign news pages. Guardian Newspapers Ltd London 1989
  286. 66 words from The Guardian, electronic edition of 1989-12-10: Applied Science pages. Guardian Newspapers Ltd London 1989
  287. 2900 words from The Guardian, electronic edition of 1989-12-10: Arts section. Guardian Newspapers Ltd London 1989
  288. 23195 words from The Guardian, electronic edition of 1989-12-10: Business section. Guardian Newspapers Ltd London 1989
  289. 18288 words from The Guardian, electronic edition of 1989-12-10: Foreign news pages. Guardian Newspapers Ltd London 1989
  290. 18635 words from The Guardian, electronic edition of 1989-12-10: Home news pages. Guardian Newspapers Ltd London 1989
  291. 280 words from The Guardian, electronic edition of 1989-12-10: Leisure pages. Guardian Newspapers Ltd London 1989
  292. 23918 words from The Guardian, electronic edition of 1989-12-10: Sport section. Guardian Newspapers Ltd London 1989
  293. 3526 words from The Guardian, electronic edition of 1989-12-10: Foreign news pages. Guardian Newspapers Ltd London 1989
  294. 982 words from The Guardian, electronic edition of 1989-12-11: Arts section. Guardian Newspapers Ltd London 1989
  295. 3705 words from The Guardian, electronic edition of 1989-12-11: Business section. Guardian Newspapers Ltd London 1989
  296. 11338 words from The Guardian, electronic edition of 1989-12-11: Foreign news pages. Guardian Newspapers Ltd London 1989
  297. 12350 words from The Guardian, electronic edition of 1989-12-11: Home news pages. Guardian Newspapers Ltd London 1989
  298. 576 words from The Guardian, electronic edition of 1989-12-11: Leisure pages. Guardian Newspapers Ltd London 1989
  299. 13743 words from The Guardian, electronic edition of 1989-12-11: Sport section. Guardian Newspapers Ltd London 1989
  300. 752 words from The Guardian, electronic edition of 1989-12-11: Foreign news pages. Guardian Newspapers Ltd London 1989
  301. 8663 words from The Guardian, electronic edition of 1989-12-13: Arts section. Guardian Newspapers Ltd London 1989
  302. 7060 words from The Guardian, electronic edition of 1989-12-13: Business section. Guardian Newspapers Ltd London 1989
  303. 7203 words from The Guardian, electronic edition of 1989-12-13: Foreign news pages. Guardian Newspapers Ltd London 1989
  304. 19598 words from The Guardian, electronic edition of 1989-12-13: Home news pages. Guardian Newspapers Ltd London 1989
  305. 689 words from The Guardian, electronic edition of 1989-12-13: Leisure pages. Guardian Newspapers Ltd London 1989
  306. 251 words from The Guardian, electronic edition of 1989-12-13: News and features. Guardian Newspapers Ltd London 1989
  307. 10046 words from The Guardian, electronic edition of 1989-12-13: Sport section. Guardian Newspapers Ltd London 1989
  308. 14919 words from The Guardian, electronic edition of 1989-12-13: Foreign news pages. Guardian Newspapers Ltd London 1989
  309. 4977 words from The Guardian, electronic edition of 1989-12-20: Arts section. Guardian Newspapers Ltd London 1989
  310. 8674 words from The Guardian, electronic edition of 1989-12-20: Business section. Guardian Newspapers Ltd London 1989
  311. 8282 words from The Guardian, electronic edition of 1989-12-20: Foreign news pages. Guardian Newspapers Ltd London 1989
  312. 18852 words from The Guardian, electronic edition of 1989-12-20: Home news pages. Guardian Newspapers Ltd London 1989
  313. 1266 words from The Guardian, electronic edition of 1989-12-20: Leisure pages. Guardian Newspapers Ltd London 1989
  314. 8991 words from The Guardian, electronic edition of 1989-12-20: Sport section. Guardian Newspapers Ltd London 1989
  315. 17278 words from The Guardian, electronic edition of 1989-12-20: Foreign news pages. Guardian Newspapers Ltd London 1989
  316. 18192 words from The Guardian, electronic edition of 1989-12-21: Arts section. Guardian Newspapers Ltd London 1989
  317. 6697 words from The Guardian, electronic edition of 1989-12-21: Business section. Guardian Newspapers Ltd London 1989
  318. 9884 words from The Guardian, electronic edition of 1989-12-21: Foreign news pages. Guardian Newspapers Ltd London 1989
  319. 16925 words from The Guardian, electronic edition of 1989-12-21: Home news pages. Guardian Newspapers Ltd London 1989
  320. 1293 words from The Guardian, electronic edition of 1989-12-21: Leisure pages. Guardian Newspapers Ltd London 1989
  321. 11224 words from The Guardian, electronic edition of 1989-12-21: Sport section. Guardian Newspapers Ltd London 1989
  322. 16555 words from The Guardian, electronic edition of 1989-12-21: Foreign news pages. Guardian Newspapers Ltd London 1989
  323. 5166 words from The Guardian, electronic edition of 1989-12-22: Applied Science pages. Guardian Newspapers Ltd London 1989
  324. 5944 words from The Guardian, electronic edition of 1989-12-22: Arts section. Guardian Newspapers Ltd London 1989
  325. 7132 words from The Guardian, electronic edition of 1989-12-22: Business section. Guardian Newspapers Ltd London 1989
  326. 9498 words from The Guardian, electronic edition of 1989-12-22: Foreign news pages. Guardian Newspapers Ltd London 1989
  327. 20792 words from The Guardian, electronic edition of 1989-12-22: Home news pages. Guardian Newspapers Ltd London 1989
  328. 1840 words from The Guardian, electronic edition of 1989-12-22: Leisure pages. Guardian Newspapers Ltd London 1989
  329. 8909 words from The Guardian, electronic edition of 1989-12-22: Sport section. Guardian Newspapers Ltd London 1989
  330. 8357 words from The Guardian, electronic edition of 1989-12-22: Foreign news pages. Guardian Newspapers Ltd London 1989
  331. 2390 words from The Guardian, electronic edition of 1989-12-31: Arts section. Guardian Newspapers Ltd London 1989
  332. 10016 words from The Guardian, electronic edition of 1989-12-31: Business section. Guardian Newspapers Ltd London 1989
  333. 6977 words from The Guardian, electronic edition of 1989-12-31: Foreign news pages. Guardian Newspapers Ltd London 1989
  334. 10093 words from The Guardian, electronic edition of 1989-12-31: Home news pages. Guardian Newspapers Ltd London 1989
  335. 20724 words from The Guardian, electronic edition of 1989-12-31: Leisure pages. Guardian Newspapers Ltd London 1989
  336. 12084 words from The Guardian, electronic edition of 1989-12-31: Sport section. Guardian Newspapers Ltd London 1989
  337. 7345 words from The Guardian, electronic edition of 1989-12-31: Foreign news pages. Guardian Newspapers Ltd London 1989
  338. 10531 words from Adkin. Moving in Oxfordshire. Harnel Heath Ltd 1992
  339. 34417 words from Blissed out. Reynolds, Simon Serpent's Tail London 1990
  340. 36275 words from The perfect English country house. Lycett Green, Candida Pavilion Books Ltd London 1991
  341. 37914 words from In other words … David Bowie. Juby, Kerry Omnibus Press London 1986
  342. 37976 words from Defending the world: the politics and diplomacy of the environment. Adamson, David I B Tauris & Company Ltd London 1990
  343. 40048 words from Death of a partner. Neel, Janet Constable & Company Ltd London 1991
  344. 37437 words from Britain's defence dilemma: An inside view (rethinking British defence policy in the post-imperial era). Jackson, General Sir William B T Batsford Ltd London 1990
  345. 40171 words from Delicatessen: a celebration and cookbook. Moon, Rosemary David & Charles Publishers plc Newton Abbot, Devon 1989
  346. 40576 words from Dolphins: their life and survival. Donoghue, Michael Wheeler, Annie Blandford (Cassell plc) London 1990
  347. 55650 words from The Economist. The Economist Newspaper Ltd London 1991
  348. 60034 words from The Economist. The Economist Newspaper Ltd London 1991
  349. 60007 words from The Economist. The Economist Newspaper Ltd London 1990
  350. 60087 words from The Economist. The Economist Newspaper Ltd London 1991
  351. 60037 words from The Economist. The Economist Newspaper Ltd London 1991
  352. 80582 words from The Economist. The Economist Newspaper Ltd London 1991
  353. 58537 words from The Economist. The Economist Newspaper Ltd London 1991
  354. 33453 words from Edward Thomas: a portrait. Thomas, R George Oxford University Press Oxford 1987 1-69
  355. 40442 words from The empiricists. Woolhouse, R S Oxford University Press Oxford 1988
  356. 39983 words from Introduction to English law, 10th edition. Geldart, William Yardley, D C M Oxford University Press Oxford 1991
  357. 38131 words from England versus West Indies. Cotter, Gerry The Crowood Press Marlborough, Wilts 1991
  358. 55107 words from Esquire. The National Magazine Company Ltd London 1991-04
  359. 34736 words from Ministers decide. Fowler, Norman Chapmans Publishers Ltd London 1991
  360. 37854 words from I believe. Carey, George SPCK London 1991
  361. 33760 words from Jane's journey. Bow, Jean The Book Guild Ltd Lewes, East Sussex 1991
  362. 36224 words from Jubilee wood. Hassall, Angela Oxford University Press Oxford 1989
  363. 6483 words from Running out of excuses. Campaign for Labour Representation in NI Belfast/London 1991
  364. 35678 words from Man at the sharp end. Kilby, M The Book Guild Ltd Lewes, East Sussex 1991
  365. 37653 words from Misfortunes of Nigel. Pitt-Kethley, Fiona P Owen 1991 67-173
  366. 34582 words from On the edge. Cross, Gillian Oxford University Press Oxford 1989 66-170
  367. 35699 words from Paper faces. Anderson, Rachel Oxford University Press Oxford 1991 1-116
  368. 40295 words from A poet could not but be gay. Kirkup, James Peter Owen Publishers London 1991
  369. 33078 words from The reluctant Samaritan. Beechey, Winifred Oxford University Press Oxford 1991 1-131
  370. 39814 words from Science and the past. Bowman, Sheridan British Museum Press London 1991
  371. 29684 words from The masks of death. Cecil, Robert The Book Guild Ltd Lewes, East Sussex 1991
  372. 40290 words from The lock. Gates, Susan Oxford University Press Oxford 1990
  373. 36102 words from Willoughby's phoney war. Fox, William The Book Guild Ltd Lewes, East Sussex 1991
  374. 35937 words from Lo and behold! Dennis, Trevor SPCK London 1991
  375. 37491 words from Britain on the breadline. Laybourn, Keith Alan Sutton Publishing Ltd Gloucester 1990
  376. 36837 words from Principles of criminal law. Ashworth, Andrew Oxford University Press Oxford 1991
  377. 38632 words from Dandelion days. Howell, Bette Chapmans Publishers Ltd London 1991
  378. 36540 words from Through the devil's gateway. Archer, L J Joseph, A et al Byrne, L Gombrich, S G SPCK London 1990
  379. 23354 words from Dogs Today. Burlington Publishing Company Ltd Windsor 1992-02
  380. 41370 words from The Face. Nick Logan London 1990
  381. 41734 words from The Face. Nick Logan London 1990
  382. 61032 words from Farmers' Weekly. Reed Business Publishing Group Haywards Heath, Sussex 1991-01-9726
  383. 38884 words from The fifties: portrait of an age. Lewis, Peter The Herbert Press Ltd London 1989
  384. 30655 words from The forest of the night. Kelly, Chris Oxford University Press Oxford 1991 2-105
  385. 31297 words from Frankie. Highsmith, Domini Bantam (Corgi) London 1990
  386. 37225 words from Gardeners' World. Redwood Publishing Company. London 1991
  387. 22184 words from The Gardener. Maxwell Consumer Magazines London 1991-03
  388. 33614 words from Get slim and stay slim. Ashcroft, Jennifer J Oxford University Press Oxford 1989
  389. 40014 words from Gentleman and ladies. Hill, Susan Hamish Hamilton Ltd London 1969 5-138
  390. 35572 words from God save Ulster! Bruce, S Oxford University Press Oxford 1990
  391. 24885 words from Great races. Magee, Sean Anaya Publishers Ltd London 1990
  392. 39207 words from Hermetech. Constantine, Storm Headline Book Publishing plc London 1991
  393. 39315 words from Hide and seek. Potter, Dennis Faber & Faber Ltd London 1990
  394. 34999 words from Friends in high places: who runs Britain? Paxman, Jeremy Michael Joseph Ltd London 1990
  395. 35723 words from The Oxford illustrated history of Christianity. McManners, John Oxford University Press Oxford 1990
  396. 40342 words from The Hitler myth: image and reality in the Third Reich. Kershaw, Ian Oxford University Press Oxford 1989
  397. 27725 words from How many times can you say goodbye? Pardoe, Jenifer SPCK London 1991
  398. 36293 words from Understanding horses. Langley, Garda David & Charles Publishers plc Newton Abbot, Devon 1989
  399. 33031 words from How do I look? Dawson, Jill Virago Press Ltd London 1990
  400. 22521 words from Interpreting the past: coins. Burnett, Andrew British Museum Press London 1991
  401. 36180 words from Making an impact. Thomas, Harvey Gill, Liz David & Charles Publishers plc Newton Abbot, Devon 1989
  402. 37601 words from Lives, lies and the Iran-Contra affair. Wroe, Ann I B Tauris & Company Ltd London 1991
  403. 39220 words from Jaunting through Ireland. Kerridge, Roy Michael Joseph Ltd London 1991
  404. 36783 words from Conversations with Karajan. Osborne, Richard Oxford University Press Oxford 1991 2-147
  405. 37258 words from Kylie Minogue: the superstar next door. Stone, Sasha Omnibus Press London 1989 4-96
  406. 34019 words from Lady's maid. Forster, Margaret Chatto & Windus Ltd London 1990
  407. 38595 words from Libyan politics: tribe and revolution. Davis, John I B Tauris & Company Ltd London 1987
  408. 35183 words from Logic and design. Barratt, Krome The Herbert Press Ltd London 1989
  409. 36312 words from Longshot. Francis, Dick Michael Joseph Ltd London 1990
  410. 39835 words from Lying together. Thomas, D M Victor Gollancz Ltd London 1990
  411. 37512 words from Mary Queen of Scots. Wormald, Jenny Collins & Brown Ltd London 1991
  412. 37736 words from The nonconformists. Munson, James SPCK London 1991
  413. 36586 words from The problems of biology. Maynard Smith, John Oxford University Press Oxford 1989
  414. 39944 words from Roads that move. Perrie, Walter Mainstream Publishing Company Ltd Edinburgh 1991
  415. 38105 words from The royal forests of England. Grant, Raymond Alan Sutton Publishing Ltd Gloucester 1991
  416. 26515 words from Tomorrow. Taylor, Elizabeth Russell Peter Owen Publishers London 1991 52-137
  417. 31816 words from A twist of fate. Scobie, Pamela Oxford University Press Oxford 1990 49-153
  418. 378 words from Daily Telegraph, electronic edition of 1992-04-04: Applied Science pages. The Daily Telegraph plc London 1992
  419. 26178 words from Daily Telegraph, electronic edition of 1992-04-04: Arts section. The Daily Telegraph plc London 1992
  420. 16330 words from Daily Telegraph, electronic edition of 1992-04-04: Business section. The Daily Telegraph plc London 1992
  421. 38061 words from Daily Telegraph, electronic edition of 1992-04-04: Leisure pages. The Daily Telegraph plc London 1992
  422. 4120 words from Daily Telegraph, electronic edition of 1992-04-04: Applied Science pages. The Daily Telegraph plc London 1992
  423. 1198 words from Daily Telegraph, electronic edition of 1992-04-04: News and features. The Daily Telegraph plc London 1992
  424. 26386 words from Daily Telegraph, electronic edition of 1992-04-04: Foreign news pages. The Daily Telegraph plc London 1992
  425. 28873 words from Daily Telegraph, electronic edition of 1992-04-05: Arts section. The Daily Telegraph plc London 1992
  426. 97 words from Daily Telegraph, electronic edition of 1992-04-05: Religious affairs stories. The Daily Telegraph plc London 1992
  427. 20822 words from Daily Telegraph, electronic edition of 1992-04-05: Business section. The Daily Telegraph plc London 1992
  428. 38322 words from Daily Telegraph, electronic edition of 1992-04-05: Leisure pages. The Daily Telegraph plc London 1992
  429. 2476 words from Daily Telegraph, electronic edition of 1992-04-05: Applied Science pages. The Daily Telegraph plc London 1992
  430. 2574 words from Daily Telegraph, electronic edition of 1992-04-05: News and features. The Daily Telegraph plc London 1992
  431. 44835 words from Daily Telegraph, electronic edition of 1992-04-05: Foreign news pages. The Daily Telegraph plc London 1992
  432. 3033 words from Daily Telegraph, electronic edition of 1992-04-06: Applied Science pages. The Daily Telegraph plc London 1992
  433. 7416 words from Daily Telegraph, electronic edition of 1992-04-06: Arts section. The Daily Telegraph plc London 1992
  434. 314 words from Daily Telegraph, electronic edition of 1992-04-06: Religious affairs stories. The Daily Telegraph plc London 1992
  435. 16130 words from Daily Telegraph, electronic edition of 1992-04-06: Business section. The Daily Telegraph plc London 1992
  436. 35279 words from Daily Telegraph, electronic edition of 1992-04-06: Leisure pages. The Daily Telegraph plc London 1992
  437. 1693 words from Daily Telegraph, electronic edition of 1992-04-06: Applied Science pages. The Daily Telegraph plc London 1992
  438. 796 words from Daily Telegraph, electronic edition of 1992-04-06: News and features. The Daily Telegraph plc London 1992
  439. 31668 words from Daily Telegraph, electronic edition of 1992-04-06: Foreign news pages. The Daily Telegraph plc London 1992
  440. 5996 words from Daily Telegraph, electronic edition of 1992-04-07: Applied Science pages. The Daily Telegraph plc London 1992
  441. 5322 words from Daily Telegraph, electronic edition of 1992-04-07: Arts section. The Daily Telegraph plc London 1992
  442. 387 words from Daily Telegraph, electronic edition of 1992-04-07: Religious affairs stories. The Daily Telegraph plc London 1992
  443. 13867 words from Daily Telegraph, electronic edition of 1992-04-07: Business section. The Daily Telegraph plc London 1992
  444. 18110 words from Daily Telegraph, electronic edition of 1992-04-07: Leisure pages. The Daily Telegraph plc London 1992
  445. 937 words from Daily Telegraph, electronic edition of 1992-04-07: Applied Science pages. The Daily Telegraph plc London 1992
  446. 3253 words from Daily Telegraph, electronic edition of 1992-04-07: News and features. The Daily Telegraph plc London 1992
  447. 23274 words from Daily Telegraph, electronic edition of 1992-04-07: Foreign news pages. The Daily Telegraph plc London 1992
  448. 586 words from Daily Telegraph, electronic edition of 1992-04-08: Applied Science pages. The Daily Telegraph plc London 1992
  449. 10558 words from Daily Telegraph, electronic edition of 1992-04-08: Arts section. The Daily Telegraph plc London 1992
  450. 13573 words from Daily Telegraph, electronic edition of 1992-04-08: Business section. The Daily Telegraph plc London 1992
  451. 27509 words from Daily Telegraph, electronic edition of 1992-04-08: Leisure pages. The Daily Telegraph plc London 1992
  452. 2551 words from Daily Telegraph, electronic edition of 1992-04-08: Applied Science pages. The Daily Telegraph plc London 1992
  453. 478 words from Daily Telegraph, electronic edition of 1992-04-08: News and features. The Daily Telegraph plc London 1992
  454. 28293 words from Daily Telegraph, electronic edition of 1992-04-08: Foreign news pages. The Daily Telegraph plc London 1992
  455. 535 words from Daily Telegraph, electronic edition of 1992-04-09: Applied Science pages. The Daily Telegraph plc London 1992
  456. 6294 words from Daily Telegraph, electronic edition of 1992-04-09: Arts section. The Daily Telegraph plc London 1992
  457. 569 words from Daily Telegraph, electronic edition of 1992-04-09: Religious affairs stories. The Daily Telegraph plc London 1992
  458. 10953 words from Daily Telegraph, electronic edition of 1992-04-09: Business section. The Daily Telegraph plc London 1992
  459. 17280 words from Daily Telegraph, electronic edition of 1992-04-09: Leisure pages. The Daily Telegraph plc London 1992
  460. 1966 words from Daily Telegraph, electronic edition of 1992-04-09: Applied Science pages. The Daily Telegraph plc London 1992
  461. 2410 words from Daily Telegraph, electronic edition of 1992-04-09: News and features. The Daily Telegraph plc London 1992
  462. 25218 words from Daily Telegraph, electronic edition of 1992-04-09: Foreign news pages. The Daily Telegraph plc London 1992
  463. 9554 words from Daily Telegraph, electronic edition of 1992-04-10: Arts section. The Daily Telegraph plc London 1992
  464. 9583 words from Daily Telegraph, electronic edition of 1992-04-10: Business section. The Daily Telegraph plc London 1992
  465. 12928 words from Daily Telegraph, electronic edition of 1992-04-10: Leisure pages. The Daily Telegraph plc London 1992
  466. 1097 words from Daily Telegraph, electronic edition of 1992-04-10: Applied Science pages. The Daily Telegraph plc London 1992
  467. 2494 words from Daily Telegraph, electronic edition of 1992-04-10: News and features. The Daily Telegraph plc London 1992
  468. 28728 words from Daily Telegraph, electronic edition of 1992-04-10: Foreign news pages. The Daily Telegraph plc London 1992
  469. 20697 words from Daily Telegraph, electronic edition of 1992-04-11: Arts section. The Daily Telegraph plc London 1992
  470. 836 words from Daily Telegraph, electronic edition of 1992-04-11: Religious affairs stories. The Daily Telegraph plc London 1992
  471. 14401 words from Daily Telegraph, electronic edition of 1992-04-11: Business section. The Daily Telegraph plc London 1992
  472. 40373 words from Daily Telegraph, electronic edition of 1992-04-11: Leisure pages. The Daily Telegraph plc London 1992
  473. 569 words from Daily Telegraph, electronic edition of 1992-04-11: Applied Science pages. The Daily Telegraph plc London 1992
  474. 740 words from Daily Telegraph, electronic edition of 1992-04-11: News and features. The Daily Telegraph plc London 1992
  475. 26399 words from Daily Telegraph, electronic edition of 1992-04-11: Foreign news pages. The Daily Telegraph plc London 1992
  476. 588 words from Daily Telegraph, electronic edition of 1992-04-12: Applied Science pages. The Daily Telegraph plc London 1992
  477. 26894 words from Daily Telegraph, electronic edition of 1992-04-12: Arts section. The Daily Telegraph plc London 1992
  478. 40128 words from Daily Telegraph, electronic edition of 1992-04-12: Leisure pages. The Daily Telegraph plc London 1992
  479. 537 words from Daily Telegraph, electronic edition of 1992-04-12: Applied Science pages. The Daily Telegraph plc London 1992
  480. 2867 words from Daily Telegraph, electronic edition of 1992-04-12: News and features. The Daily Telegraph plc London 1992
  481. 39463 words from Daily Telegraph, electronic edition of 1992-04-12: Foreign news pages. The Daily Telegraph plc London 1992
  482. 811 words from Daily Telegraph, electronic edition of 1992-04-13: Applied Science pages. The Daily Telegraph plc London 1992
  483. 7694 words from Daily Telegraph, electronic edition of 1992-04-13: Arts section. The Daily Telegraph plc London 1992
  484. 424 words from Daily Telegraph, electronic edition of 1992-04-13: Religious affairs stories. The Daily Telegraph plc London 1992
  485. 20084 words from Daily Telegraph, electronic edition of 1992-04-13: Business section. The Daily Telegraph plc London 1992
  486. 34858 words from Daily Telegraph, electronic edition of 1992-04-13: Leisure pages. The Daily Telegraph plc London 1992
  487. 2221 words from Daily Telegraph, electronic edition of 1992-04-13: Applied Science pages. The Daily Telegraph plc London 1992
  488. 678 words from Daily Telegraph, electronic edition of 1992-04-13: News and features. The Daily Telegraph plc London 1992
  489. 20046 words from Daily Telegraph, electronic edition of 1992-04-13: Foreign news pages. The Daily Telegraph plc London 1992
  490. 10458 words from Daily Telegraph, electronic edition of 1992-04-15: Arts section. The Daily Telegraph plc London 1992
  491. 509 words from Daily Telegraph, electronic edition of 1992-04-15: Religious affairs stories. The Daily Telegraph plc London 1992
  492. 13615 words from Daily Telegraph, electronic edition of 1992-04-15: Business section. The Daily Telegraph plc London 1992
  493. 29715 words from Daily Telegraph, electronic edition of 1992-04-15: Leisure pages. The Daily Telegraph plc London 1992
  494. 1070 words from Daily Telegraph, electronic edition of 1992-04-15: Applied Science pages. The Daily Telegraph plc London 1992
  495. 2421 words from Daily Telegraph, electronic edition of 1992-04-15: News and features. The Daily Telegraph plc London 1992
  496. 21029 words from Daily Telegraph, electronic edition of 1992-04-15: Foreign news pages. The Daily Telegraph plc London 1992
  497. 7113 words from Daily Telegraph, electronic edition of 1992-04-16: Arts section. The Daily Telegraph plc London 1992
  498. 924 words from Daily Telegraph, electronic edition of 1992-04-16: Religious affairs stories. The Daily Telegraph plc London 1992
  499. 14339 words from Daily Telegraph, electronic edition of 1992-04-16: Business section. The Daily Telegraph plc London 1992
  500. 18973 words from Daily Telegraph, electronic edition of 1992-04-16: Leisure pages. The Daily Telegraph plc London 1992
  501. 566 words from Daily Telegraph, electronic edition of 1992-04-16: Applied Science pages. The Daily Telegraph plc London 1992
  502. 3447 words from Daily Telegraph, electronic edition of 1992-04-16: News and features. The Daily Telegraph plc London 1992
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  893. 7610 words from Lancaster Diocesan Catholic Voice. Catholic Voice Publications Ltd Liverpool 1992-12
  894. 7344 words from Shrewsbury Diocesan Catholic Voice. Catholic Voice Publications Ltd Liverpool 1992-11
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  924. 56801 words from Guitarist. Music Maker Publications Ely, Cambs 1992-08/1993-01
  925. 57782 words from Guitarist. Music Maker Publications Ely, Cambs 1992-08/1993-01
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  1013. 7261 words from Leeds Diocesan Catholic Voice. Catholic Voice Publications Ltd Liverpool 1992-11
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  1045. 11353 words from Hair Flair. Shaws Publications Ltd London 1992
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  1384. 7509 words from Unigram x. APT Data Services Ltd. 1993-04/1993-05
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  1439. 33415 words from Wisden Cricket Monthly. Wisden Cricket Magazines Surrey 1992-03
  1440. 35370 words from Wisden Cricket Monthly. Wisden Cricket Magazines Surrey 1992
  1441. 6742 words from Museum Society meeting: Make-do and mend: Lecture/meeting
    D8YPS000
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  1442. 4652 words from Museum Society meeting: Make-do and mend: Lecture/meeting
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  1443. 16811 words from Harlow Playhouse public meeting
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    unspecified
    D91PSUNK
    Unknown speaker, other
    D91PSUGP
    Group of unknown speakers, other
  1444. 846 words from Harlow Playhouse public meeting
    D92PS000
    unspecified
    D92PSUNK
    Unknown speaker, other
    D92PSUGP
    Group of unknown speakers, other
  1445. 255 words from Harlow Women's Institute committee meeting
    D94PS000
    unspecified
    D94PSUNK
    Unknown speaker, other
    D94PSUGP
    Group of unknown speakers, other
  1446. 14847 words from Pensioners' and Trades Union Association meeting
    D95PS000
    unspecified
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    unspecified
    D95PSUNK
    Unknown speaker, other
    D95PSUGP
    Group of unknown speakers, other
  1447. 817 words from Pensioners' and Trades Union Association meeting
    D96PS000
    unspecified
    D96PS001
    unspecified
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    unspecified
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    unspecified
    D96PSUNK
    Unknown speaker, other
    D96PSUGP
    Group of unknown speakers, other
  1448. 16437 words from Friends of the Earth: club meeting
    D97PS000
    unspecified
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    D97PSUNK
    Unknown speaker, other
    D97PSUGP
    Group of unknown speakers, other
  1449. 15274 words from Amnesty International meeting
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    unspecified
    DCHPS001
    unspecified
    DCHPS002
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    DCHPSUNK
    Unknown speaker, other
    DCHPSUGP
    Group of unknown speakers, other
  1450. 5107 words from `A'-level history lecture
    DCJPS000
    unspecified
    DCJPS001
    unspecified
    DCJPSUNK
    Unknown speaker, other
    DCJPSUGP
    Group of unknown speakers, other
  1451. 2439 words from `A'-level history lecture
    DCKPS000
    unspecified
    DCKPSUNK
    Unknown speaker, other
    DCKPSUGP
    Group of unknown speakers, other
  1452. 7617 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
  1453. 23563 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
  1454. 24278 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
  1455. 15309 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
  1456. 18668 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
  1457. 19478 words from The East Anglian. East Anglian Daily Times Company Ipswich 1993-03
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  1461. 20993 words from Bookseller. J Whitaker & sons London 1993-01-01 5-45
  1462. 44062 words from British Medical Journal. British Medical Association London 1993-01-16 77-138
  1463. 29834 words from British Medical Journal. British Medical Association London 1993-01-16 155-201
  1464. 35800 words from British Medical Journal. British Medical Association London 1993-01-16 347-398
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  1470. 29510 words from Making it happen: reflections on leadership. Harvey-Jones, John Fontana Press London 1988 7-94
  1471. 39737 words from The hotel receptionist. Paige, Jane Paige, Grace Cassell Educational London 1992 1-181
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  1483. 40668 words from Ronald Reagan and the American presidency. Mervin, David Longman Group UK Ltd Harlow 1990 12-24
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  1487. 30728 words from Zzap 64! Newspaper Publications Ludlow, Shropshire 1992 4-68
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  1510. 49822 words from The Art Newspaper. Umberto Allemandi & Company London 1992
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  1513. 2613 words from [ASH -- information bulletin] Action on Smoking & Health London 1991
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  1515. 7013 words from ASH Supporters' News Issue No. 29. Action on Smoking & Health London 1991
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  1521. 9509 words from Short breaks -- Brighton and Hove 1992. u.p.
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  1528. 30120 words from Do It Yourself. Link House Magazines Ltd Milton Keynes 1992
  1529. 33880 words from Death train. MacNeill, Alastair Fontana Press London 1989 7-150
  1530. 3873 words from Devon and Cornwall Seaside Holiday Parks. John Fowler Holidays 1991
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  1541. 14162 words from Germany Switzerland Austria -- GTF Tours. German Tourist Facilities Ltd London 1992
  1542. 14383 words from Moto grandprix. Moto Cycle News Kettering, England 1991
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  1618. 43251 words from The siege of Krishnapur. Farrell, J G Fontana Paperbacks London 1988 205-313
  1619. 44311 words from T S Eliot. Ackroyd, Peter Sphere Books Ltd London 1988 232-335
  1620. 41127 words from Wigan Pier revisited: poverty and politics in the eighties. Campbell, Beatrix Virago Press Ltd London 1985 1-115
  1621. 15256 words from Adventures with small animals. Bishop, Owen John Murray (Publishers) Ltd London 1982 1-58
  1622. 39134 words from The architecture of digital computers. Garside, R G Oxford University Press Oxford 1980 1-137
  1623. 36878 words from The City share pushers. Davidson, Alexander Scope Books Ltd UK 1989 1-88
  1624. 20719 words from Design and development of programs as teaching materials. Fraser, Rosemary Burkhardt, Hugh et al Council for Educational Technology UK 1982 13-77
  1625. 7255 words from Directions in biblical Hebrew poetry. Follis, Elaine R JSOT Press Sheffield 1987 77-96
  1626. 9933 words from Fallables. Geesin, Ron Ron Geesin UK 1975 1-101
  1627. 32114 words from The good terrorist. Lessing, Doris Grafton Books London 1986 125-209
  1628. 40991 words from Library provision and curriculum planning. et al Best, Ron British Library Research & Development UK 1988 1-113
  1629. 39946 words from Literacy. Cashdan, Asher Blackwell Oxford 1986 17-161
  1630. 24698 words from Learning to care on the surgical ward. Merchant, Jane Attree, Moira Hodder & Stoughton Ltd Sevenoaks, Kent 1989 1-110
  1631. 32312 words from Mammalian development. Monk, Marilyn IRL Press Ltd UK 1987 1-120
  1632. 14454 words from Photography now. Howarth-Booth, Mark Dirk Nishen Publishing UK 1989 9-136
  1633. 28587 words from Rings, fields and groups: an introduction to abstract algebra. Allenby, R B J T Edward Arnold (Publishers) Ltd Sevenoaks, Kent 1989 xi-xxvi
  1634. 40186 words from Sleep and dreaming. Empson, Jacob Faber & Faber Ltd London 1989 3-121
  1635. 15535 words from Teaching spelling. Torbe, Mike Ward Lock Education UK 1988 5-56
  1636. 35808 words from Topaz. Bennetts, Pamela Magna Print Books UK 1988 9-206
  1637. 33372 words from A career in advertising and public relations. Whiteaker, Stafford BT Batsford Ltd London 1986 9-100
  1638. 39134 words from Another time, another season. Dillon, Anna Sphere Books Ltd London 1989 1-128
  1639. 30812 words from Basil Rocke: artist and teacher. Devonald, Rosemary Redcliffe Press Ltd UK 1989 14-85
  1640. 41102 words from Britannica's typesetters. Reynolds, Sian Edinburgh University Press Edinburgh 1989 23-112
  1641. 35624 words from Nutshells: constitutional and administrative law. Hogan, Greer Sweet & Maxwell Ltd London 1990 1-92
  1642. 22111 words from Compacts: an approach through key questions. Lawlor, Sean Longman Group UK Ltd Harlow 1989 3-71
  1643. 22671 words from Cue Bruce. Hockin, Bruce Redcliffe Press Ltd UK 1990 7-78
  1644. 35109 words from Democracy. Arblaster, Anthony Open University Press Milton Keynes 1987 1-105
  1645. 11176 words from Egyptian gods and myths. Thomas, Angela P Shire Publications Ltd UK 1989 6-60
  1646. 37314 words from Women of El Salvador: the price of freedom. Thomson, Marilyn Zed Books Ltd UK 1986 11-138
  1647. 38600 words from Graduated tests in mathematics. Thorpe, Jim Ruddock, Graham Foxman, Derek Nfer-Nelson Publishing Company Ltd UK 1989 1-152
  1648. 29089 words from Imms' general textbook of entomology vol.1. Richards, O W Davies, R G Chapman & Hall London 1977 11-115
  1649. 36064 words from Mind and brain. Honderich, Ted Oxford University Press Oxford 1990 13-89
  1650. 16693 words from Manpower solutions. Dean, Derek J Scutari Projects Ltd UK 1987 1-60
  1651. 40989 words from The age of Balfour and Baldwin 1902-1940. Ramsden, John Longman Group UK Ltd Harlow 1978 65-151
  1652. 27383 words from Proportional representation: which system? Sykes, Leslie The Hornbeam Press Leicester 1990 1-76
  1653. 34831 words from Profitboss: 100 steps to achieving better profits. Freemantle, David Pan Books Ltd London 1988 17-221
  1654. 31528 words from The quantum world. Polkinghorne, J C Longman Group UK Ltd Harlow 1984 1-82
  1655. 40469 words from Resource-based learning. Beswick, Norman Heinemann Educational Books Ltd UK 1984 32-121
  1656. 39484 words from Sexual aspects of social work. Stewart, W F R Woodhead-Faulkner Ltd UK 1979 13-146
  1657. 39930 words from Stockport Grammar School 1487-1987. Ball, James Old Vicarage Publications Congleton 1987 12-99
  1658. 42134 words from Style in fiction. Short, Michael H Leech, Geoffrey N Longman Group UK Ltd Harlow 1987 11-146
  1659. 23848 words from Walking the Dales. Harding, Mike Michael Joseph Ltd London 1989 51-129
  1660. 43082 words from Watership Down. Adams, Richard Penguin Group London 1987 15-136
  1661. 1918 words from My favourite stories of Lakeland. Bragg, Melvyn Lutterworth Press Cambridge 1981 117-122
  1662. 41291 words from The Americas. Lancaster, A B Edward Arnold (Publishers) Ltd Sevenoaks, Kent 1984 1-114
  1663. 37064 words from Armada. Gidley, Charles Fontana Paperbacks London 1988 11-120
  1664. 6312 words from Landscape for a good woman [from Truth, dare or promise] Heron, Liz Virago Press Ltd London 1985 153-169
  1665. 41214 words from English & Englishness. Doyle, Brian Routledge & Kegan Paul plc London 1989 17-132
  1666. 9405 words from Falcon Mystère 20 -- Production History. Gates, Brian Midland Counties Publishing (Aerophile) Ltd UK 1978 4-124
  1667. 37928 words from Matrices and engineering dynamics. Simpson, A Collar, A R Ellis Horwood Ltd Chichester 1987 11-195
  1668. 17530 words from Myocardial infarction: acute care and rehabilitation. Carne, S J Harten-Ash, V J Duphar Laboratories Ltd UK 1990 1-51
  1669. 33167 words from Oriental rugs: a buyer's guide. Allane, Lee Thames & Hudson Ltd UK 1988 6-108
  1670. 14873 words from Motor racing: records, facts and champions. Morrison, Ian Guinness Publications UK 1989 7-188
  1671. 30071 words from Regulation of the firm and natural monopoly. Waterson, Michael Basil Blackwell Ltd Oxford 1988 1-83
  1672. 2759 words from Excerpt from My favourite stories of Lakeland. Nicholson, Norman Lutterworth Press Cambridge 1981 96-101
  1673. 37899 words from Study for survival and success. Meredeen, Sander Paul Chapman Publishing Ltd London 1988 1-120
  1674. 34082 words from Successful media relations: a practitioner's guide. Ridgway, Judith Gower Publishing Company Ltd Aldershot 1984 11-132
  1675. 3948 words from Dear Green Place [from Truth, dare or promise] Riley, Denise Virago Press Ltd London 1985 237-248
  1676. 10963 words from Water supplies and the treatment and disposal of effluents. Little, A H The Textile Institute UK 1975 1-31
  1677. 6772 words from A poet's response to the pictures of Gauguin: [Picture appreciation lesson]
    F71PS000
    unspecified
    F71PS001
    unspecified
    F71PS002
    unspecified
    F71PS003
    unspecified
    F71PS004
    unspecified
    F71PS005
    unspecified
    F71PS006
    unspecified
    F71PS007
    unspecified
    F71PSUNK
    Unknown speaker, other
    F71PSUGP
    Group of unknown speakers, other
  1678. 6882 words from [Storytelling workshop]
    F72PS000
    unspecified
    F72PS001
    unspecified
    F72PS002
    unspecified
    F72PS003
    unspecified
    F72PSUNK
    Unknown speaker, other
    F72PSUGP
    Group of unknown speakers, other
  1679. 370 words from [Ralph Gardner High School: talk between teacher and caretaker]
    PS1KU
    46, Andrew, teacher
    PS1KV
    40, caretaker
    F73PSUNK
    Unknown speaker, other
    F73PSUGP
    Group of unknown speakers, other
  1680. 926 words from [Ralph Gardner High School: art lesson for fourteen-year-olds]
    PS1KW
    46, Andrew, teacher
    PS1KX
    35+, teacher
    PS1KY
    14, Michael, student
    F74PSUNK
    Unknown speaker, other
    F74PSUGP
    Group of unknown speakers, other
  1681. 606 words from [Mounting a picture: demonstration]
    PS1L0
    46, Andrew, teacher
    F75PSUNK
    Unknown speaker, other
    F75PSUGP
    Group of unknown speakers, other
  1682. 167 words from [School Registration]
    PS1L1
    46, Andrew, teacher
    PS1L2
    14, Gillian, student
    F76PSUNK
    Unknown speaker, other
    F76PSUGP
    Group of unknown speakers, other
  1683. 4930 words from [Etching lesson]
    PS1L3
    46, Andrew, teacher
    PS1L4
    45, teacher
    PS1L5
    14, Kevin, student
    F77PSUNK
    Unknown speaker, other
    F77PSUGP
    Group of unknown speakers, other
  1684. 60 words from [Staff meeting]
    PS1L6
    46, Andrew, teacher
    PS1L7
    30, teacher
  1685. 14042 words from [Tyneside Cinema Board meeting]
    PS1L8
    50+, Roger
    PS1L9
    40+, Peter, chief executive
    PS1LA
    30+, Susie, lecturer
    PS1LB
    50+, Geoff, accountant
    PS1LC
    50+, John, lecturer
    PS1LD
    40+, Colin
    PS1LE
    20+, Bryony, secretary
    F7APSUNK
    Unknown speaker, other
    F7APSUGP
    Group of unknown speakers, other
  1686. 13815 words from [Audio Description Action Group: meeting]
    PS1LG
    30+, Robert, arts officer
    PS1LH
    30+, Brian, theatre manager
    PS1LJ
    50+, Iris, audio services
    PS1LK
    30+, Jane, social worker
    PS1LL
    40+, Cathy, social worker
    F7CPS000
    unspecified
    F7CPSUNK
    Unknown speaker, other
    F7CPSUGP
    Group of unknown speakers, other
  1687. 4268 words from [Teachers' conference: discussing maths lessons]
    PS1LS
    40+, Alan, teacher
    PS1LT
    40+, Cath, teacher
    PS1LU
    40+, Judith, teacher
    PS1LV
    30+, Ian, teacher
    F7EPS000
    unspecified
  1688. 15838 words from [Teachers' conference: discussing assessment procedures]
    PS1LW
    50+, Don, teacher
    F7FPS000
    unspecified
    F7FPS001
    unspecified
    F7FPS002
    unspecified
    F7FPS003
    unspecified
    F7FPS004
    unspecified
    F7FPSUNK
    Unknown speaker, other
    F7FPSUGP
    Group of unknown speakers, other
  1689. 5736 words from [Teachers' conference: discussing assessment procedures]
    PS1M4
    40+, Andrew, teacher
    PS1M5
    30+, Angela, teacher
    PS1M6
    30+, Paul, teacher
    PS1M7
    40+, Rod, teacher
    PS1M8
    50+, Don, teacher
    PS1M9
    40+, Alan, teacher
    PS1MA
    30+, Terry, teacher
    F7GPSUNK
    Unknown speaker, other
    F7GPSUGP
    Group of unknown speakers, other
  1690. 11165 words from [COHSE/NALGO/NUPE/meeting]
    F7JPS000
    unspecified
    F7JPS001
    unspecified
    F7JPS002
    unspecified
    F7JPSUNK
    Unknown speaker, other
    F7JPSUGP
    Group of unknown speakers, other
  1691. 1076 words from [Ampleforth Prep School: remedial English lesson for nine-year-olds]
    PS1ME
    35+, teacher
    F7KPSUNK
    Unknown speaker, other
    F7KPSUGP
    Group of unknown speakers, other
  1692. 3731 words from [Ampleforth Prep School: geography lesson for twelve-year-olds]
    PS1MF
    50+, teacher
    F7LPSUNK
    Unknown speaker, other
    F7LPSUGP
    Group of unknown speakers, other
  1693. 1751 words from [Ampleforth Prep School: English lesson for nine-year-olds]
    PS1MG
    35+, teacher
    F7MPSUNK
    Unknown speaker, other
    F7MPSUGP
    Group of unknown speakers, other
  1694. 2063 words from [Ampleforth Prep School: remedial English lesson for eleven-year-olds]
    PS1MH
    50+, teacher
    F7NPSUNK
    Unknown speaker, other
    F7NPSUGP
    Group of unknown speakers, other
  1695. 6065 words from [Mark Hall School: religious studies lesson for eleven-year-olds]
    PS1ML
    30+, teacher
    PS1MM
    Steve
    F7RPSUNK
    Unknown speaker, other
    F7RPSUGP
    Group of unknown speakers, other
  1696. 444 words from [Mark Hall School: science lesson for fourteen- and fifteen-year-olds]
    PS1MN
    30+, teacher
    F7SPS000
    unspecified
    F7SPSUNK
    Unknown speaker, other
    F7SPSUGP
    Group of unknown speakers, other
  1697. 7533 words from [Lecture for eighteen-year-old students on local councils and elections]
    PS1MP
    30+, Ken, lecturer
    F7TPS000
    unspecified
    F7TPSUNK
    Unknown speaker, other
    F7TPSUGP
    Group of unknown speakers, other
  1698. 11194 words from [Lecture on Isomers]
    PS1MR
    46, Danny, lecturer
    F7UPS000
    unspecified
    F7UPSUNK
    Unknown speaker, other
    F7UPSUGP
    Group of unknown speakers, other
  1699. 19938 words from [Personal services: meeting of councillors]
    F7VPS000
    unspecified
    F7VPSUNK
    Unknown speaker, other
    F7VPSUGP
    Group of unknown speakers, other
  1700. 4860 words from [Harlow Study Centre: oral history interview]
    PS1MS
    interviewer
    PS1MT
    70+, Mrs Druce, retired
    F7YPSUNK
    Unknown speaker, other
    F7YPSUGP
    Group of unknown speakers, other
  1701. 7777 words from [Harlow Study Centre: interview]
    PS1MW
    unspecified
    PS1MX
    unspecified
    PS1MY
    unspecified
    F81PSUNK
    Unknown speaker, other
    F81PSUGP
    Group of unknown speakers, other
  1702. 5346 words from [Harlow Study Centre: interview]
    PS1N0
    unspecified
    PS1N1
    unspecified
    PS1N2
    unspecified
    F82PSUNK
    Unknown speaker, other
    F82PSUGP
    Group of unknown speakers, other
  1703. 2068 words from [Church of Scotland: Meeting on rules and regulations]
    PS1N6
    Hugh, moderator
    PS1N7
    Mr Malloch
    PS1N8
    Mr Holt
    PS1N9
    Mr McKweon
    F84PS000
    unspecified
    F84PSUNK
    Unknown speaker, other
    F84PSUGP
    Group of unknown speakers, other
  1704. 10511 words from [Church of Scotland: Report on Baptism]
    PS1NA
    Hugh, moderator
    PS1NB
    Dr Stuart
    PS1NC
    Ian
    F85PS000
    unspecified
    F85PS001
    unspecified
    F85PS002
    unspecified
    F85PS003
    unspecified
    F85PS004
    unspecified
    F85PS005
    unspecified
    F85PSUNK
    Unknown speaker, other
    F85PSUGP
    Group of unknown speakers, other
  1705. 9128 words from [Church of Scotland: Meeting on rules and regulations]
    PS1NE
    Hugh, moderator
    PS1NF
    Mr Boyd
    PS1NG
    Mr Torrence
    PS1NH
    Mr Forrester
    PS1NJ
    Mr McGilvery
    F86PS000
    unspecified
    F86PS001
    unspecified
    F86PS002
    unspecified
    F86PS003
    unspecified
    F86PSUNK
    Unknown speaker, other
    F86PSUGP
    Group of unknown speakers, other
  1706. 3638 words from [Church of Scotland: Report on Church funds]
    PS1NK
    Hugh, moderator
    F87PS000
    unspecified
    F87PS001
    unspecified
    F87PS002
    unspecified
    F87PSUNK
    Unknown speaker, other
    F87PSUGP
    Group of unknown speakers, other
  1707. 7816 words from [Birmingham College of Food: lecture on tourism]
    PS1NP
    30, Melvin, lecturer
    F88PSUNK
    Unknown speaker, other
    F88PSUGP
    Group of unknown speakers, other
  1708. 1452 words from [Birmingham College of Food: student union induction speech]
    PS1NR
    25, Joey, student union president
    F89PSUNK
    Unknown speaker, other
    F89PSUGP
    Group of unknown speakers, other
  1709. 3206 words from [Birmingham College of Food: lecture on food]
    PS1NS
    40+, Pat, lecturer
    F8APSUNK
    Unknown speaker, other
    F8APSUGP
    Group of unknown speakers, other
  1710. 5780 words from [Harlow Rotary Club: talk on engineering]
    PS1NX
    50+, tom grundy
    PS1NY
    50+, John
    PS1P0
    50+, George
    PS1P2
    60+, Donald
    PS1P3
    40+, Alan
    PS1P4
    50+, Tom
    PS1P5
    50+
    PS1P6
    50+, Tom
    F8BPSUNK
    Unknown speaker, other
    F8BPSUGP
    Group of unknown speakers, other
  1711. 5237 words from [British Red Cross first aid course]
    PS1P7
    50, Audrey, first aid officer
    F8CPSUNK
    Unknown speaker, other
    F8CPSUGP
    Group of unknown speakers, other
  1712. 11558 words from [British Red Cross first aid course]
    PS1P8
    50, Audrey, first aid officer
    PS1P9
    40, Elaine, lecturer
    PS1PA
    40, Denise, lecturer
    F8DPSUNK
    Unknown speaker, other
    F8DPSUGP
    Group of unknown speakers, other
  1713. 5157 words from [Newcastle University Department of Marine Biology and Coastal Management: lecture on oceanography]
    PS1PB
    30+, Chris, lecturer
    F8EPSUNK
    Unknown speaker, other
    F8EPSUGP
    Group of unknown speakers, other
  1714. 646 words from [Newcastle University Department of Marine Biology and Coastal Management: tutorial]
    PS1PC
    40+, tutor
    F8FPS000
    unspecified
    F8FPS001
    unspecified
    F8FPSUNK
    Unknown speaker, other
    F8FPSUGP
    Group of unknown speakers, other
  1715. 4086 words from [Newcastle University Department of Marine Biology and Coastal Management: lecture on communication skills and training video]
    PS1PD
    50+, head of department
    F8HPSUNK
    Unknown speaker, other
    F8HPSUGP
    Group of unknown speakers, other
  1716. 2081 words from [Newcastle University: lecture on word processing]
    PS1PE
    30+, lecturer
    F8JPSUNK
    Unknown speaker, other
    F8JPSUGP
    Group of unknown speakers, other
  1717. 10568 words from [Norwich City College: NNEB lecture]
    PS1PF
    30, Cathy, lecturer
    F8LPSUNK
    Unknown speaker, other
    F8LPSUGP
    Group of unknown speakers, other
  1718. 5846 words from [Norwich City College: drama course meeting and lecture]
    PS1PG
    50+, Francis, lecturer
    F8MPS000
    unspecified
    F8MPS001
    unspecified
    F8MPS002
    unspecified
    F8MPS003
    unspecified
    F8MPS004
    unspecified
    F8MPS005
    unspecified
    F8MPS006
    unspecified
    F8MPS007
    unspecified
    F8MPSUNK
    Unknown speaker, other
    F8MPSUGP
    Group of unknown speakers, other
  1719. 5429 words from [Harlow Rotary Club : talk on atomic engineering]
    PS1PH
    Ian, lecturer
    PS1PJ
    Don
    PS1PK
    Frank
    PS1PL
    Gordon
    PS1PM
    Jeff
    F8NPSUNK
    Unknown speaker, other
    F8NPSUGP
    Group of unknown speakers, other
  1720. 7960 words from [Walsall Local History Centre: talk about Home Guard]
    PS1PN
    Joyce, interviewer
    PS1PP
    70, Ernest, retired
    F8PPSUNK
    Unknown speaker, other
    F8PPSUGP
    Group of unknown speakers, other
  1721. 15816 words from [Leigh Community Centre: lecture on China]
    PS1PR
    30, Neil, lecturer
    F8RPSUNK
    Unknown speaker, other
    F8RPSUGP
    Group of unknown speakers, other
  1722. 5258 words from [Newcastle University: lecture on microbiology]
    PS1PS
    38, lecturer
    F8SPSUNK
    Unknown speaker, other
    F8SPSUGP
    Group of unknown speakers, other
  1723. 9551 words from [BNC Project: weekly progress meeting]
    PS1RA
    25, Wendy, lexicographer
    PS1R7
    27, Clare, secretary
    PS1R8
    24, Derek, chemist
    PS1R9
    24, David, physicist
    F8UPSUNK
    Unknown speaker, other
    F8UPSUGP
    Group of unknown speakers, other
  1724. 5602 words from Computers and the humanities. Kenny, A u.p.
  1725. 38385 words from Adam's paradise. Rush, A Macmillan Publishers Ltd Basingstoke 1989 1-146
  1726. 26575 words from An introduction to archaeology. Atkins, R Atkins, L Quintet Publishing Ltd London 1989 8-122
  1727. 40201 words from The administration of justice. u.p. n.d. 227-312
  1728. 42395 words from The adultery department. Bryers, P Bloomsbury Publishing Ltd London 1993 1-130
  1729. 39669 words from Advertising: what it is and how to do it. White, R McGraw-Hill Book Company Maidenhead 1993 44-137
  1730. 40412 words from The trials of life. Attenborough, David David Collins & sons London 1990 1-161
  1731. 40178 words from Beyond the inner city. Byrne, D Open University Press Milton Keynes 1989 3-98
  1732. 38171 words from The birdwatcher's handbook: a guide to the natural history of the birds of Britain and Europe. Ehrlich, Paul R. et al Oxford University Press Oxford 1994 9-123
  1733. 28867 words from Bookseller. J Whitaker & sons London 1993
  1734. 38874 words from Introduction to contemporary epistemology. Dancy, J Blackwell Oxford 1992
  1735. 39112 words from Church and realm: 1272-1461. Heath, P Fontana Press London 1988 1-127
  1736. 8430 words from City psalms. Zephaniah, B Bloodaxe books ltd Newcastle upon Tyne 1992 11-64
  1737. 41424 words from Cold War Europe 1945-1989: a political history. Young, J Edward Arnold London 1991 1-86
  1738. 36184 words from A compass error. Bedford, S Virago Press Ltd London 1993 53-168
  1739. 41180 words from Contemporary British society. Urry, J Walby, S Warde, A Soothill, K Abercrombie, N Blackwell Oxford 1993 206-329
  1740. 38544 words from Curricula for diversity in education. Swann, W Booth, T Masterton, M Potts, P Routledge & Kegan Paul plc London 1992 9-113
  1741. 41935 words from Dance till the stars come down. A biography of John Minton. Spalding, F Hodder & Stoughton Ltd Sevenoaks, Kent 1991 87-205
  1742. 38105 words from Discourse analysis. Yule, G Brown, G Cambridge University Press Cambridge 1991 1-112
  1743. 38551 words from Discourse. Cook, G Oxford University Press Oxford 1992 3-110
  1744. 43560 words from Deceit. Darvill-Evans, P Virgin London 1993 157-295
  1745. 43254 words from Doctor Who: the early years. Bentham, J W H Allen & Company plc London 1986 29-207
  1746. 41498 words from Restructuring Britain: the economy in question. Allen, J Massey, D Sage Publications Ltd London 1988 8-108
  1747. 39027 words from Environment and enforcement regulation and the social definition. Hawkins, K Oxford University Press Oxford 1993 3-93
  1748. 39438 words from The French Pyrenees. Sturrock, J Faber & Faber Ltd London 1988 5-117
  1749. 42792 words from First degree: the undergraduate curriculum. Squires, G Open University Press Milton Keynes 1990 1-118
  1750. 7294 words from Further developments of the electronic book. Feldman, Tony BNBR London 1991
  1751. 36619 words from Gender and subject in higher education. Thomas, K Open University Press Milton Keynes 1990 1-80
  1752. 39955 words from Human resource strategies. Salaman, G Mabey, C Hamblin, H Thompson Cameron, S Iles, P Open University Press Milton Keynes 1992
  1753. 41467 words from Ideology and opinions. Billig, M Sage Publications Ltd London 1991 57-167
  1754. 40352 words from The ladykiller. Cole, M Headline Book Publishing plc London 1993 143-269
  1755. 41720 words from Lexical semantics. Cruse, D A Cambridge University Press Cambridge 1991 1-124
  1756. 40427 words from Linguistic variation and change. Milroy, J Blackwell Oxford 1992 48-160
  1757. 39538 words from Living space in fact and fiction. Tristram, P Routledge & Kegan Paul plc London 1989 1-69
  1758. 41333 words from Losing out: the emergence of a UK underclass. Field, F Blackwell Oxford 1989 82-196
  1759. 48205 words from The making of the English landscape. Hoskins, W Hodder & Stoughton Ltd Sevenoaks, Kent 1992 140-242
  1760. 40496 words from Managing innovation. u.p. n.d. 7-113
  1761. 41125 words from Masai dreaming. Cartwright, J Macmillan Publishers Ltd Basingstoke 1993 50-182
  1762. 40750 words from Material culture and mass consumption. Miller, D Blackwell Oxford 1987 68-167
  1763. 38616 words from Curriculum evaluation in schools. McCormick, R James, M Routledge & Kegan Paul plc London 1990 5-121
  1764. 42877 words from Men who overturned empires. Tinker, H Macmillan Publishers Ltd Basingstoke 1987
  1765. 41833 words from Murder forestalled. Chester, P Chivers Press UK 1990 7-151
  1766. 8290 words from The other country. Duffy, C A Anvil Poetry Press London 1990 7-55
  1767. 41061 words from Pillion riders. Taylor, E R Peter Owen 1993 38-165
  1768. 40433 words from Principles of hotel and catering law. Pannett, A Cassell London 1992
  1769. 37138 words from Public sector financial control and accounting. Glynn, J Blackwell Oxford 1993 15-146
  1770. 29484 words from A question of place: exploring the practice of human geography. Johnston, R J Blackwell Oxford 1991 9-171
  1771. 40461 words from Race, culture and difference. Donald, J Rattansi, A Open University Press Milton Keynes 1993 1-97
  1772. 40258 words from The radiant way. Drabble, Margaret Penguin Group London 1988 1-103
  1773. 42560 words from Rethinking the Russian revolution. Acton, Edward Edward Arnold (Publishers) Ltd Sevenoaks, Kent 1992 5-106
  1774. 42759 words from Rural Britain: a social geography. Williams, A Phillips, D Blackwell Oxford 1985 47-174
  1775. 37287 words from Studying popular music. Middleton, R Open University Press Milton Keynes 1993 3-83
  1776. 21440 words from The history of Siberia: from Russian conquest to revolution. Wood, Alan Routledge & Kegan Paul plc London 1991 1-91
  1777. 42666 words from Social classes in Marxist theory. Cottrell, A Routledge & Kegan Paul plc London 1984 158-265
  1778. 37459 words from Sociology: themes and perspectives. Holborn, M Haralambos, M HarperCollins London 1991 1-80
  1779. 39338 words from Spain 1808-1975. Carr, R Oxford University Press Oxford 1993 1-129
  1780. 23023 words from Cinema secrets: Special effects. Millar, D Quintet Publishing Ltd London 1990 7-103
  1781. 38992 words from Summer's lease. Mortimer, J Penguin Group London 1988 1-155
  1782. 36126 words from Symbols of excellence. Clark, G Cambridge University Press Cambridge 1986 1-106
  1783. 36560 words from The Greek world: 479-323BC. Hornblower, S Routledge & Kegan Paul plc London 1991 32-126
  1784. 40517 words from The penal system. Dignan, J Cavadino, M Sage Publications Ltd London 1992 9-117
  1785. 31714 words from Ways of communicating. Mellor, D M Bateson, P Alvey, J Chomsky, N Goehr Barlow, H Cambridge University Press Cambridge 1990 4-124
  1786. 39469 words from What is this thing called science? Chalmers, A F Open University Press Milton Keynes 1992 1-120
  1787. 14636 words from Women's Art Magazine. Townsend, S Women artists slide library London 1992-10
  1788. 12898 words from Zoom. Armitage, S Bloodaxe books ltd Newcastle upon Tyne 1989 9-80
  1789. 29838 words from Community development journal. Oxford University Press Oxford 1993-07 199-287
  1790. 26656 words from The Criminal Law Review. Ashworth, Andrew Oxford University Press Oxford 1992 1-138
  1791. 31203 words from The Criminal Law Review. Ashworth, Andrew Oxford University Press Oxford 1992 1-386
  1792. 56615 words from Esquire. The National Magazine Company Ltd London 1993
  1793. 68556 words from Esquire. The National Magazine Company Ltd London 1992
  1794. 51359 words from Practical Fishkeeping. EMAP Pursuit Publishing Ltd Peterborough, Cambs 1992
  1795. 30146 words from Nature. Macmillan Magazines Ltd London 1993
  1796. 11697 words from Photography. Argus Specialist Publications Hemel Hempstead 1990
  1797. 4126 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1798. 6187 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1799. 4780 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1800. 21462 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1801. 12414 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1802. 6260 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1803. 7171 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1804. 3373 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1805. 2296 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1806. 4123 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1807. 2537 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1808. 8981 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1809. 9746 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1810. 11848 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1811. 3783 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1812. 2867 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1813. 1926 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1814. 5811 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1815. 5469 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1816. 5624 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1817. 5475 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1818. 10063 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1819. 3625 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1820. 2995 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1821. 5063 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1822. 30726 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1823. 12044 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1824. 33614 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1825. 5384 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1826. 3788 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1827. 5256 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1828. 10065 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1829. 9908 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1830. 5337 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1831. 3095 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1832. 3510 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1833. 7622 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1834. 6119 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1835. 3088 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1836. 6560 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1837. 18004 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1838. 5655 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1839. 25483 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1840. 7862 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1841. 6142 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1842. 4078 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1843. 12334 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1844. 8654 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1845. 9326 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1846. 11569 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1847. 7732 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1848. 14439 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1849. 13650 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1850. 892 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1851. 2781 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1852. 7949 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1853. 9224 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1854. 5125 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1855. 6127 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1856. 5982 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1857. 4542 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1858. 7101 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1859. 11055 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1860. 6911 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1861. 4077 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1862. 4873 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1863. 5962 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1864. 21026 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1865. 9483 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1866. 2752 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1867. 5832 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1868. 3146 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1869. 20454 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1870. 25448 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1871. 12327 words from The Weekly Law Reports 1992 Volume 3. u.p.
  1872. 27942 words from The repatriations from Austria in 1945. Cowgill, Brigadier Anthony Sinclair-Stevenson Ltd London 1990 1-112
  1873. 38682 words from The computer-based design process. Medland, A J Kogan Page Ltd London 1986 13-214
  1874. 34747 words from Herbs. Bonar, Ann Ward Lock Ltd London 1989 10-103
  1875. 38331 words from Left side right side. Beaton, Alan Batsford Academic & Educational UK 1985 62-140
  1876. 42992 words from The L-shaped room. Banks, Lynne Reid Penguin Group London 1987 98-206
  1877. 25873 words from Lectures on electromagnetic theory. Solymar, L Oxford University Press Oxford 1984 5-118
  1878. 23971 words from Living mathematics for the Caribbean. Book 1. Ferguson, I S Macmillan Publishers Ltd Basingstoke 1988 v-170
  1879. 17099 words from Model financial statements for public and private companies. Stoy Hayward Butterworth & Company (pub) Ltd UK 1990 1-115
  1880. 38751 words from Old serpent Nile. A journey to the source. Stewart, Stanley John Murray (Publishers) Ltd London 1991 3-120
  1881. 39752 words from Ring of fire. Blair, Lorne Bantam (Corgi) London 1988 9-127
  1882. 38695 words from The seaman: a history of the National Union of Seamen. Marsh, Arthur Malthouse Publishing UK 1989 1-83
  1883. 34083 words from Still life. Byatt, A S Penguin Group London 1988 1-84
  1884. 44487 words from Student's guide to success. Cassie, W Fisher Constantine, T Macmillan Education Ltd UK 1989 1-119
  1885. 38048 words from Supersense: perception in the animal world. Downer, John BBC Books UK 1989 8-145
  1886. 36671 words from Temporary employment. Casey, Bernard PSI Publications UK 1988 12-147
  1887. 33766 words from The vitality diet: the revolutionary health plan that can change your life. Stewart, Alan Stewart, Maryon Thorsons Publishers UK 1990 7-229
  1888. 33660 words from Writing crime fiction. Keating, H R F A & C Black (Publishers) Ltd London 1986 3-72
  1889. 4716 words from Menopause: television discussion
    FL4PS000
    unspecified
    FL4PS001
    unspecified
    FL4PS002
    unspecified
    FL4PS003
    unspecified
    FL4PS004
    unspecified
    FL4PS005
    unspecified
    FL4PS006
    unspecified
    FL4PS007
    unspecified
    FL4PS008
    unspecified
    FL4PSUNK
    Unknown speaker, other
    FL4PSUGP
    Group of unknown speakers, other
  1890. 5127 words from Football: television discussion
    FL5PS000
    unspecified
    FL5PS001
    unspecified
    FL5PS002
    unspecified
    FL5PS003
    unspecified
    FL5PS004
    unspecified
    FL5PS005
    unspecified
    FL5PS006
    unspecified
    FL5PS007
    unspecified
    FL5PS008
    unspecified
    FL5PSUNK
    Unknown speaker, other
    FL5PSUGP
    Group of unknown speakers, other
  1891. 4863 words from Eating disorders: television discussion
    FL6PS000
    unspecified
    FL6PS001
    unspecified
    FL6PS002
    unspecified
    FL6PS003
    unspecified
    FL6PS004
    unspecified
    FL6PS005
    unspecified
    FL6PS006
    unspecified
    FL6PS007
    unspecified
    FL6PS008
    unspecified
    FL6PSUNK
    Unknown speaker, other
    FL6PSUGP
    Group of unknown speakers, other
  1892. 5157 words from Misogyny: television discussion
    FL7PS000
    unspecified
    FL7PS001
    unspecified
    FL7PS002
    unspecified
    FL7PS003
    unspecified
    FL7PS004
    unspecified
    FL7PS005
    unspecified
    FL7PS006
    unspecified
    FL7PS007
    unspecified
    FL7PS008
    unspecified
    FL7PSUNK
    Unknown speaker, other
    FL7PSUGP
    Group of unknown speakers, other
  1893. 5060 words from Scottish Women: discussion about `the body beautiful'
    FL8PS000
    unspecified
    FL8PSUNK
    Unknown speaker, other
    FL8PSUGP
    Group of unknown speakers, other
  1894. 5041 words from Scottish Women: discussion about crime
    FL9PS000
    unspecified
    FL9PSUNK
    Unknown speaker, other
    FL9PSUGP
    Group of unknown speakers, other
  1895. 4917 words from Scottish Women: discussion about transport
    FLAPS000
    unspecified
    FLAPSUNK
    Unknown speaker, other
    FLAPSUGP
    Group of unknown speakers, other
  1896. 4573 words from Scottish Women: discussion about love
    FLBPS000
    unspecified
    FLBPSUNK
    Unknown speaker, other
    FLBPSUGP
    Group of unknown speakers, other
  1897. 4754 words from Scottish Women: property, the arts, the press, school
    FLCPS000
    unspecified
    FLCPS001
    unspecified
    FLCPS002
    unspecified
    FLCPS003
    unspecified
    FLCPS004
    unspecified
    FLCPS005
    unspecified
    FLCPS006
    unspecified
    FLCPS007
    unspecified
    FLCPS008
    unspecified
    FLCPSUNK
    Unknown speaker, other
    FLCPSUGP
    Group of unknown speakers, other
  1898. 4754 words from Families: television discussion
    FLDPS000
    unspecified
    FLDPS001
    unspecified
    FLDPS002
    unspecified
    FLDPS003
    unspecified
    FLDPS004
    unspecified
    FLDPS005
    unspecified
    FLDPS006
    unspecified
    FLDPS007
    unspecified
    FLDPS008
    unspecified
    FLDPSUNK
    Unknown speaker, other
    FLDPSUGP
    Group of unknown speakers, other
  1899. 4788 words from The Royals: television discussion
    FLEPS000
    unspecified
    FLEPS001
    unspecified
    FLEPS002
    unspecified
    FLEPS003
    unspecified
    FLEPS004
    unspecified
    FLEPS005
    unspecified
    FLEPS006
    unspecified
    FLEPS007
    unspecified
    FLEPS008
    unspecified
    FLEPSUNK
    Unknown speaker, other
    FLEPSUGP
    Group of unknown speakers, other
  1900. 4841 words from Mental health: television discussion
    FLFPS000
    unspecified
    FLFPS001
    unspecified
    FLFPS002
    unspecified
    FLFPS003
    unspecified
    FLFPS004
    unspecified
    FLFPS005
    unspecified
    FLFPS006
    unspecified
    FLFPS007
    unspecified
    FLFPS008
    unspecified
    FLFPSUNK
    Unknown speaker, other
    FLFPSUGP
    Group of unknown speakers, other
  1901. 4952 words from Mental health: television discussion
    FLGPS000
    unspecified
    FLGPS001
    unspecified
    FLGPS002
    unspecified
    FLGPS003
    unspecified
    FLGPS004
    unspecified
    FLGPS005
    unspecified
    FLGPS006
    unspecified
    FLGPS007
    unspecified
    FLGPS008
    unspecified
    FLGPSUNK
    Unknown speaker, other
    FLGPSUGP
    Group of unknown speakers, other
  1902. 4880 words from Animal rights: television discussion
    FLHPS000
    unspecified
    FLHPS001
    unspecified
    FLHPS002
    unspecified
    FLHPS003
    unspecified
    FLHPS004
    unspecified
    FLHPS005
    unspecified
    FLHPS006
    unspecified
    FLHPS007
    unspecified
    FLHPS008
    unspecified
    FLHPSUNK
    Unknown speaker, other
    FLHPSUGP
    Group of unknown speakers, other
  1903. 5302 words from Young women in Scotland: television discussion
    FLKPS000
    unspecified
    FLKPS001
    unspecified
    FLKPS002
    unspecified
    FLKPS003
    unspecified
    FLKPS004
    unspecified
    FLKPS005
    unspecified
    FLKPS006
    unspecified
    FLKPS007
    unspecified
    FLKPS008
    unspecified
    FLKPSUNK
    Unknown speaker, other
    FLKPSUGP
    Group of unknown speakers, other
  1904. 4927 words from Traditions: television discussion
    FLLPS000
    unspecified
    FLLPS001
    unspecified
    FLLPS002
    unspecified
    FLLPS003
    unspecified
    FLLPS004
    unspecified
    FLLPS005
    unspecified
    FLLPS006
    unspecified
    FLLPS007
    unspecified
    FLLPS008
    unspecified
    FLLPSUNK
    Unknown speaker, other
    FLLPSUGP
    Group of unknown speakers, other
  1905. 4997 words from Scottish women: discussion about smoking
    FLMPS000
    unspecified
    FLMPS001
    unspecified
    FLMPS002
    unspecified
    FLMPS003
    unspecified
    FLMPS004
    unspecified
    FLMPS005
    unspecified
    FLMPS006
    unspecified
    FLMPS007
    unspecified
    FLMPS008
    unspecified
    FLMPSUNK
    Unknown speaker, other
    FLMPSUGP
    Group of unknown speakers, other
  1906. 4950 words from Scottish women: discussion about weddings
    FLPPS000
    unspecified
    FLPPS001
    unspecified
    FLPPS002
    unspecified
    FLPPS003
    unspecified
    FLPPS004
    unspecified
    FLPPS005
    unspecified
    FLPPS006
    unspecified
    FLPPS007
    unspecified
    FLPPS008
    unspecified
    FLPPSUNK
    Unknown speaker, other
    FLPPSUGP
    Group of unknown speakers, other
  1907. 5252 words from Scottish women: discussion about sex education
    FLRPS000
    unspecified
    FLRPS001
    unspecified
    FLRPS002
    unspecified
    FLRPS003
    unspecified
    FLRPS004
    unspecified
    FLRPS005
    unspecified
    FLRPS006
    unspecified
    FLRPS007
    unspecified
    FLRPS008
    unspecified
    FLRPSUNK
    Unknown speaker, other
    FLRPSUGP
    Group of unknown speakers, other
  1908. 10830 words from General Portfolio health and safety meeting
    PS1PT
    38, Roger, first aid representative
    PS1PU
    47, Roger, first aid representative
    PS1PV
    36, Peter, first aid representative
    PS1PW
    32, Katie, first aid representative
    PS1PX
    24, Dianne, first aid representative
    PS1PY
    28, Suzanne, first aid representative
    PS1R0
    58, Norman, first aid representative
    PS1R1
    33, Carmel, first aid representative
    PS1R2
    26, Steve, first aid representative
    FLSPSUNK
    Unknown speaker, other
    FLSPSUGP
    Group of unknown speakers, other
  1909. 4243 words from Albert Gunter: sermon
    PS1RD
    Albert, minister
  1910. 2091 words from Albert Gunter: sermon
    PS1RF
    Albert, minister
  1911. 5198 words from 11th year science lesson on chemistry of metal processing
    PS1RR
    43, Tony, teacher
    FLXPSUNK
    Unknown speaker, other
    FLXPSUGP
    Group of unknown speakers, other
  1912. 6227 words from 11th year science lesson on chemistry of metal processing
    PS1RS
    43, Tony, teacher
    FLYPSUNK
    Unknown speaker, other
    FLYPSUGP
    Group of unknown speakers, other
  1913. 9460 words from Defensive driving techniques: Lecture/seminar
    PS1RT
    53, Mike, driving instructor
    PS1RU
    62, Stan, driving instructor
    FM0PSUNK
    Unknown speaker, other
    FM0PSUGP
    Group of unknown speakers, other
  1914. 7552 words from Defensive driving techniques: Lecture/seminar
    PS1RV
    62, Stan, driving instructor
    FM1PSUNK
    Unknown speaker, other
    FM1PSUGP
    Group of unknown speakers, other
  1915. 14672 words from Missprint planning meeting
    PS1S1
    25, Wendy, lexicographer
    PS1S2
    21, Clare, transcriber
    PS1S3
    24, Derek, transcriber
    PS1S4
    24, David, transcriber
    FM2PSUNK
    Unknown speaker, other
    FM2PSUGP
    Group of unknown speakers, other
  1916. 3732 words from Body Shop presentation: aromatherapy/Body Shop products
    PS1S5
    40+, Yvonne, masseur
    PS1S6
    50+, Emmy, manageress
    PS1S7
    26, Wendy, administrator
    PS1S8
    40+, Celia, administration tutor
    FM3PSUNK
    Unknown speaker, other
    FM3PSUGP
    Group of unknown speakers, other
  1917. 11203 words from Tutorial lesson: GCSE maths tutoring session
    PS1S9
    50, John, tutor
    PS1SA
    16, Andrew, student
    FM4PSUNK
    Unknown speaker, other
    FM4PSUGP
    Group of unknown speakers, other
  1918. 12922 words from Tutorial lesson: GCSE chemistry tutoring session
    PS1SB
    50, John, tutor
    PS1SC
    16, Andrew, student
    FM5PSUNK
    Unknown speaker, other
    FM5PSUGP
    Group of unknown speakers, other
  1919. 11058 words from Strangers - talk by PC Bruce: Talk/presentation
    PS1SF
    pc bruce, police officer
    FM7PSUNK
    Unknown speaker, other
    FM7PSUGP
    Group of unknown speakers, other
  1920. 1102 words from Strangers - talk by PC Bruce: Talk/presentation
    PS1SG
    pc bruce, police officer
    FM8PSUNK
    Unknown speaker, other
    FM8PSUGP
    Group of unknown speakers, other
  1921. 314 words from Strangers - talk by PC Bruce: Talk/presentation
    PS1SH
    pc bruce, police officer
    FM9PSUNK
    Unknown speaker, other
    FM9PSUGP
    Group of unknown speakers, other
  1922. 1540 words from Strangers - talk by PC Bruce: Talk/presentation
    PS1SJ
    pc bruce, police officer
    FMAPSUNK
    Unknown speaker, other
    FMAPSUGP
    Group of unknown speakers, other
  1923. 3305 words from Science lesson: year 10
    PS1SK
    50, John, teacher
    FMBPSUNK
    Unknown speaker, other
    FMBPSUGP
    Group of unknown speakers, other
  1924. 3731 words from Music lesson: year 10
    PS1SL
    50, John, teacher
    FMCPS000
    unspecified
    FMCPSUNK
    Unknown speaker, other
    FMCPSUGP
    Group of unknown speakers, other
  1925. 5582 words from York University Careers Service: careers interview
    PS1SP
    50, Martin, careers advisor
    PS1SR
    20+, Ian, student
    FMDPSUNK
    Unknown speaker, other
    FMDPSUGP
    Group of unknown speakers, other
  1926. 10660 words from Tutorial lesson: GCSE maths
    PS1SS
    50+, John, tutor
    PS1ST
    16, Ian, student
    FMEPSUNK
    Unknown speaker, other
    FMEPSUGP
    Group of unknown speakers, other
  1927. 5952 words from Tutorial lesson: junior-level spelling and maths
    PS1SU
    50+, John, tutor
    PS1SV
    9, Simon, student
    FMFPSUNK
    Unknown speaker, other
    FMFPSUGP
    Group of unknown speakers, other
  1928. 13734 words from Tutorial lesson: junior-level spelling and maths
    PS1SW
    50+, John, tutor
    PS1SX
    9, Simon, student
    FMGPS000
    unspecified
    FMGPSUNK
    Unknown speaker, other
    FMGPSUGP
    Group of unknown speakers, other
  1929. 6296 words from Tutorial lesson: junior-level spelling and maths
    PS1SY
    50+, John, tutor
    PS1T0
    9, Simon, student
    FMHPS000
    unspecified
    FMHPSUNK
    Unknown speaker, other
    FMHPSUGP
    Group of unknown speakers, other
  1930. 5924 words from Tutorial lesson: junior-level spelling and maths
    PS1T1
    50+, John, tutor
    PS1T2
    9, Simon, student
    FMJPSUNK
    Unknown speaker, other
    FMJPSUGP
    Group of unknown speakers, other
  1931. 5768 words from `How we can change the world by our witness': confirmation preparation lesson
    PS1T3
    42, Elizabeth, teacher
    PS1T4
    13, Peter, student
    FMKPSUNK
    Unknown speaker, other
    FMKPSUGP
    Group of unknown speakers, other
  1932. 7179 words from What archaeologists do: discussions
    PS1T5
    20+, Toby, student
    PS1T6
    48, Andrew, archaeologist
    PS1T7
    24, Derek, transcriber
    PS1T8
    20+, student
    PS1T9
    20+, student
    PS1TA
    40+, archaeologist
    PS1TB
    20+, Emma, archaeologist
    FMLPSUNK
    Unknown speaker, other
    FMLPSUGP
    Group of unknown speakers, other
  1933. 5626 words from Tutorial lesson: maths
    PS1TM
    50+, Malcolm, tutor
    PS1TN
    13+, student
    FMMPSUNK
    Unknown speaker, other
    FMMPSUGP
    Group of unknown speakers, other
  1934. 11289 words from Planning and development in York: greenbelt planning - public enquiry
    PS1TP
    55, John, department of the environment adjudicator
    PS1TR
    58, Harry, deputy chairman
    PS1TS
    64, George, barrister
    PS1TT
    46, barrister
    PS1TU
    30, barrister
    PS1TV
    40, barrister
    FMNPSUNK
    Unknown speaker, other
    FMNPSUGP
    Group of unknown speakers, other
  1935. 15376 words from Planning and development in York: greenbelt planning - public enquiry
    PS1TW
    55, John, department of the environment adjudicator
    PS1TX
    58, Harry, deputy chairman
    PS1TY
    64, George, barrister
    PS1U0
    46, barrister
    PS1U1
    30, barrister
    PS1U2
    40, barrister
    FMPPS000
    unspecified
    FMPPS001
    unspecified
    FMPPS002
    unspecified
    FMPPSUNK
    Unknown speaker, other
    FMPPSUGP
    Group of unknown speakers, other
  1936. 13113 words from Tutorial lesson: GCSE chemistry
    PS1UB
    50, John, tutor
    PS1UC
    16, Andrew, student
    FMRPSUNK
    Unknown speaker, other
    FMRPSUGP
    Group of unknown speakers, other
  1937. 11933 words from Legal advice: pre-retirement course
    PS1UD
    50, solicitor
    FMSPSUNK
    Unknown speaker, other
    FMSPSUGP
    Group of unknown speakers, other
  1938. 41967 words from Algorithmic learning. Hutchinson, Alan Oxford University Press Oxford 1992 2-5
  1939. 6263 words from Alice in Wonderland: Oxford Bookworms edition. Oxford University Press Oxford 1993
  1940. 42081 words from Memory and desire. Appignanesi, L Fontana Press London 1992 295-410
  1941. 38552 words from An awfully big adventure. Bainbridge, B Duckworth & Company Ltd London 1990 49-192
  1942. 31070 words from Black holes and Uncle Albert. Stannard, R Faber. 1991 3-145
  1943. 40691 words from Richard Branson: the inside story. Brown, M Headline Book Publishing plc London 1989 157-303
  1944. 10527 words from The Brontë story: Oxford Bookworms edition. Vicary, Tim Oxford University Press Oxford 1991 1-56
  1945. 40887 words from The brooch of azure midnight. Gay, A Orbit London 1993 259-384
  1946. 42907 words from The Maid of Buttermere. Bragg, Melvyn Sceptre (Hodder) London 1991 75-192
  1947. 43909 words from Corporate power and responsibility. Parkinson, JE Oxford University Press Oxford 1993 3-136
  1948. 40000 words from Callanish. Horwood, W Penguin Group London 1985 13-135
  1949. 41129 words from The changing population of Britain. Brass, W Joshi, H Ermisch, J Thane, P Kiernan, K Blackwell Oxford 1990 56-175
  1950. 5523 words from The coldest place on earth: Oxford Bookworms edition. Vicary, Tim Oxford University Press Oxford 1992 1-39
  1951. 38763 words from Complicity. Banks, Iain Little, Brown & Company London 1993
  1952. 38894 words from Conjure me. Curtis, J Corgi Books London 1993 203-331
  1953. 34576 words from Cases & materials on constitutional & administrative law. Thompson, B Walsh, B Allen, M Blackstone Press London 1990 1-70
  1954. 38131 words from Consumption, identity and style. Tomlinson, Alan Ewen, S Cubitt, S Tomlinson, A Murdock, G Routledge & Kegan Paul plc London 1991 121-239
  1955. 39092 words from Crimson. Conran, S Penguin Group London 1992 289-426
  1956. 35768 words from Culture. Williams, R Fontana Press London 1981 9-141
  1957. 5161 words from Dead Man's Island: Oxford Bookworms edition. Escott, John Oxford University Press Oxford 1992 1-39
  1958. 40756 words from The possession of Delia Sutherland. Neil, B Bloomsbury Publishing Ltd London 1993 59-179
  1959. 38231 words from Design of computer data files. Hanson, O Pitman Publishing London 1989 144-287
  1960. 39668 words from The diamond waterfall. Haines, P u.p. 1984 9-123
  1961. 43048 words from Disabling barriers: enabling environment. Finkelstein, V Oliver, M Swain, J French, S Sage Publications Ltd London 1993
  1962. 39257 words from Don't cry alone. Cox, J Headline Book Publishing plc London 1992
  1963. 6203 words from The phantom of the opera: Oxford Bookworms edition. Bassett, J Oxford University Press Oxford 1992 1-40
  1964. 37055 words from Flood water. Ling, P Headline Book Publishing plc London 1993 3-108
  1965. 38754 words from Tell them I'm on my way. Goodman, A Chapmans Publishers Ltd London 1993 183-264
  1966. 6645 words from Grace Darling: Oxford Bookworms edition. Vicary, Tim Oxford University Press Oxford 1991 1-40
  1967. 40860 words from Green and pleasant land: social change in rural England. Newby, H Wildwood house Middlesex 1985
  1968. 5760 words from Anne of Green Gables: Oxford Bookworms edition. Oxford University Press Oxford
  1969. 23934 words from Great Expectations: Oxford Bookworms edition. West, Claire Dickens, C Oxford University Press Oxford 1992 1-86
  1970. 15297 words from Gulliver's travels: Oxford Bookworms edition. Oxford University Press Oxford
  1971. 34625 words from A shorter history of Greek art. Robertson, M Cambridge University Press Cambridge 1992 1-89
  1972. 35175 words from War in high heels. Falconer, P Nexus London 1993 92-199
  1973. 42223 words from In tune with heaven: report of the Archbishops' Commission on church music. Hodder & Stoughton Ltd Sevenoaks, Kent 1992 86-214
  1974. 37862 words from The highest science. Roberts, G Virgin London 1993 81-201
  1975. 21677 words from An introduction to rural geography. Gilg, A Routledge & Kegan Paul plc London 1989 67-137
  1976. 35962 words from My idea of fun. Self, W Bloomsbury Publishing Ltd London 1993
  1977. 38586 words from The impact of social policy. Wilding, P George, V Routledge & Kegan Paul plc London 1984 66-172
  1978. 39111 words from Insiders: women's experience of prison. Virago Press Ltd London 1988 13-107
  1979. 31194 words from Jane Eyre: Oxford Bookworms edition. Oxford University Press Oxford 1990 1-101
  1980. 22691 words from Evolution and present state of the ocean bill of lading. Kozolchyk, Boris u.p.
  1981. 35693 words from Life at the tip: Les Bence on the game. Grist, M Virgin London 1993 1-201
  1982. 42653 words from Learning the law. Williams, G Stevens & son London 1982 97-218
  1983. 42432 words from Mackintosh's The government and politics of Britain. Richards, P Unwin Hyman Ltd London 1988 139-242
  1984. 41668 words from The magic toyshop. Carter, Angela Virago Press Ltd London 1993 28-157
  1985. 6558 words from Mary Queen of Scots: Oxford Bookworms edition. Vicary, Tim Oxford University Press Oxford 1992 1-39
  1986. 24433 words from Far from the madding crowd: Oxford Bookworms edition. Hardy, T West, C Oxford University Press Oxford 1992 1-86
  1987. 41317 words from Chung Kuo book one: the Middle Kingdom. Wingrove, David Hodder & Stoughton Ltd Sevenoaks, Kent 1989 251-342
  1988. 40443 words from Observing and analysing natural language. Milroy, L Blackwell Oxford 1987 68-167
  1989. 40307 words from Nobody's business. Gilliat, P Virago Press Ltd London 1990 41-185
  1990. 35590 words from A land not theirs. Marcus, David Poolbeg, Dublin: Swords 1993 7-112
  1991. 26522 words from Oliver Twist: Oxford Bookworms edition. Rogers, R Dickens, C Oxford University Press Oxford 1992 1-102
  1992. 41167 words from In other words: a coursebook on translation. Baker, M Routledge & Kegan Paul plc London 1992
  1993. 42212 words from Oxford Review of Economic Policy. Holtham, G Joshi, V Helm, D Oxford University Press Oxford 1993 1-71
  1994. 40579 words from Platinum coast. Pemberton, L HarperCollins London 1993 150-291
  1995. 41357 words from The politics of the judiciary. Griffith, J A G Fontana Press London 1991 15-144
  1996. 10658 words from Prisoner of Zenda: Oxford Bookworms edition. Hope, A Mowat, D Oxford University Press Oxford 1993
  1997. 6801 words from Robinson Crusoe: Oxford Bookworms edition. Defoe, D Mowat, Diane Oxford University Press Oxford 1993 1-41
  1998. 9266 words from The railway children: Oxford Bookworms edition. Nesbit, E Escott, John Oxford University Press Oxford 1993
  1999. 34935 words from Some other rainbow. Morrell, J McCarthy, J Transworld Publishers Ltd London 1993
  2000. 40549 words from The spinning wheel. Lorrimer, C Corgi Books London 1993 289-409
  2001. 10645 words from The secret garden: Oxford Bookworms Edition. Burnett, F West, C Burnett, F Oxford University Press Oxford 1993 1-57
  2002. 9090 words from The life and times of William Shakespeare: Oxford Bookworms edition. Bassett, J Oxford University Press Oxford 1993 1-48
  2003. 9977 words from Sky ray lolly. Pitt-Kethley, Fiona Sphere Books Ltd London 1992 9-64
  2004. 41782 words from Introduction to social administration in Britain. Payne, S Brown, M Unwin Hyman Ltd London 1990 195-319
  2005. 40953 words from Understanding social policy. Hill, M Blackwell Oxford 1992
  2006. 40420 words from Sons of the morning. Curtis, J Corgi Books London 1992 115-265
  2007. 37796 words from Stock index futures. Sutcliffe, C Chapman & Hall London 1993 91-200
  2008. 8817 words from The star zoo. Gilbert, H Oxford University Press Oxford 1992 1-55
  2009. 31620 words from Never such innocence. Wright, Daphne Michael Joseph Ltd London 1991 225-336
  2010. 40992 words from The earth is the Lord's. James, W Orbit (Sphere) London 1992 57-206
  2011. 33352 words from The relic. Anthony, E Arrow (Hutchinson) London 1992 72-180
  2012. 15070 words from Treasure Island: Oxford Bookworms edition. Escott, John Stevenson, R L Oxford University Press Oxford 1993 1-73
  2013. 8178 words from Tooth and claw: Oxford Bookworms edition. "Saki" Border, Rosemary Oxford University Press Oxford 1991 1-54
  2014. 4773 words from Under the moon: Oxford Bookworms edition. Akinyemi, Rowena 1992 Oxford University Press Oxford 2-39
  2015. 19000 words from Wedding speeches and toasts. Lansbury, A Ward lock (Cassell) London 1992 8-95
  2016. 35049 words from What's it like out? Gilliat, P Virago Press Ltd London 1989 7-130
  2017. 39905 words from White darkness. McIntee, David Virgin London 1993 115-241
  2018. 42892 words from The law of Tort. Rogers, W V H Sweet & Maxwell Ltd London 1991 421-535
  2019. 42013 words from Women and poverty in Britain. Glendinning, C Millar, J Harvester & Wheatsheaf Hemel Hempstead 1992 127-224
  2020. 38694 words from A short history of the Yugoslav peoples. Singleton, F Cambridge University Press Cambridge 1993 1-91
  2021. 27715 words from The Bookseller. J Whitaker & sons London 1993
  2022. 21796 words from The Bookseller. J Whitaker & sons London 1993
  2023. 39415 words from British Medical Journal. British Medical Association London 1975 8-453
  2024. 36486 words from British Medical Journal. British Medical Association London 1976 9-513
  2025. 45374 words from British Medical Journal. British Medical Association London 1977 3-574
  2026. 41348 words from British Medical Journal. British Medical Association London 1978 5-646
  2027. 41522 words from British Medical Journal. British Medical Association London 1979 3-714
  2028. 42155 words from British Medical Journal. British Medical Association London 1980 8-789
  2029. 39162 words from British Medical Journal. British Medical Association London 1981 1-852
  2030. 18333 words from Community Care incorporating Social Work Today. Philpot, T King, J Bowry, K Reed Publishing Group Sutton, Surrey 1993-04-22
  2031. 14765 words from Photography. Argus Specialist Publications Hemel Hempstead 1992-02
  2032. 53365 words from What personal computer: the ultimate guide to choosing and using. EMAP Business & Computing London 1993
  2033. 33971 words from Wisden Cricket Monthly. Wisden Cricket Magazines Surrey 1992
  2034. 11202 words from Shield: the international magazine of the BP group. BP 1993
  2035. 34149 words from Nucleic acids research. Oxford University Press Oxford 1993
  2036. 27595 words from Nucleic acids research. Oxford University Press Oxford 1993
  2037. 13442 words from Nucleic acids research. Oxford University Press Oxford 1993
  2038. 36535 words from Nucleic acids research. Oxford University Press Oxford 1993
  2039. 46775 words from An Islay notebook. Booth, C Gordon Islay museums trust Port Charlotte 1984 7-101
  2040. 31030 words from Off the beaten track: Switzerland. Loveland, Kenneth Moorland Publishing Company UK 1989 9-140
  2041. 37918 words from The concept of reality. Pivcevic, Edo Gerald Duckworth & Company Ltd London 1986 1-100
  2042. 43261 words from Paul Nizan communist novelist. Scriven, Michael Macmillan Press Ltd London 1988 1-120
  2043. 32063 words from The deaf advance: a history of the British Deaf Association. Grant, Brian The Pentland Press Ltd Durham 1990 1-124
  2044. 34018 words from Dementia: sharpening local plans: priorities for the 90's. Killeen, Jan Scottish Action on Dementia UK 1990 1-94
  2045. 16355 words from Dog-whelks: an introduction to the biology of nucella. Crothers, J H Field Studies Council UK 1985
  2046. 41772 words from Falling for love: teenage mothers talk. Sharpe, Sue Virago Press Ltd London 1987 1-123
  2047. 22671 words from Master of the moor. Rendell, Ruth Arrow Books Ltd London 1988 7-75
  2048. 40251 words from The modern history manual. Cloake, J A Framework Press Ltd UK 1987 1-122
  2049. 21505 words from Pamela, or, The reform of a rake: a play adapted from the novel by Samuel Richardson. Morgan, Fidelis Havergal, Giles Amber Lane Press UK 1987 5-77
  2050. 10861 words from Cometary phases. Evans, Christine Seren Books UK 1989 7-106
  2051. 23216 words from Rosencrantz and Guildenstern are dead. Stoppard, Tom Faber & Faber Ltd London 1986 9-93
  2052. 8185 words from Revolt in Roundhay [excerpt from Truth, Dare or Promise] Rowbotham, Sheila Virago Press Ltd London 1985
  2053. 51319 words from Saigon. Grey, Anthony Pan Books Ltd London 1983 9-128
  2054. 2961 words from Chaos. Muhamad, M A Holden, M V Manchester University Press Manchester 1987 15-33
  2055. 34122 words from Teaching English with video. Allan, Margaret Longman Group UK Ltd Harlow 1985 3-105
  2056. 16637 words from The kingdom under the sea and other stories. Aiken, Joan Penguin Books London 1989 9-87
  2057. 4534 words from Introduction to retirement: pre-retirement course
    PS1SM
    75+, course director
    FUEPSUNK
    Unknown speaker, other
    FUEPSUGP
    Group of unknown speakers, other
  2058. 7410 words from Introduction to retirement: pre-retirement course
    PS1SN
    75+, course director
    FUFPSUNK
    Unknown speaker, other
    FUFPSUGP
    Group of unknown speakers, other
  2059. 11104 words from Management training course
    PS1U3
    50+, Gordon, training manager
    PS1U4
    Brain
    PS1U5
    Mike
    PS1U6
    unspecified
    PS1U7
    Philip
    PS1U8
    Anthony
    PS1U9
    Thomas
    PS1UA
    Jane
    FUGPS000
    unspecified
    FUGPSUNK
    Unknown speaker, other
    FUGPSUGP
    Group of unknown speakers, other
  2060. 11792 words from Tutorial lesson: junior-level maths
    PS1UE
    50+, John, tutor
    PS1UF
    9, Kerry, student
    FUHPSUNK
    Unknown speaker, other
    FUHPSUGP
    Group of unknown speakers, other
  2061. 17948 words from British Rail team brief meeting
    PS1UG
    55, Dennis, british rail employee
    PS1UH
    45, Terry, british rail employee
    PS1UJ
    50, Roger, british rail employee
    PS1UK
    48, Trevor, british rail employee
    PS1UL
    52, Jim, british rail employee
    PS1UM
    54, Hugh, british rail employee
    PS1UN
    50, Dave, british rail employee
    PS1UP
    55, Norman, british rail employee
    PS1UR
    55, Nola, british rail employee
    FUJPSUNK
    Unknown speaker, other
    FUJPSUGP
    Group of unknown speakers, other
  2062. 19256 words from British Rail team brief meeting
    PS1US
    45, Terry, british rail employee
    PS1UT
    50, Roger, british rail employee
    PS1UU
    48, Trevor, british rail employee
    PS1UV
    52, Jim, british rail employee
    PS1UW
    54, Hugh, british rail employee
    PS1UX
    50, Dave, british rail employee
    PS1UY
    55, Norman, british rail employee
    PS1V0
    55, Nola, british rail employee
    FUKPSUNK
    Unknown speaker, other
    FUKPSUGP
    Group of unknown speakers, other
  2063. 15872 words from British Rail team brief meeting
    PS1V2
    55, Dennis, british rail employee
    PS1V3
    45, Terry, british rail employee
    PS1V4
    50, Roger, british rail employee
    PS1V5
    48, Trevor, british rail employee
    PS1V6
    52, Jim, british rail employee
    PS1V7
    54, Hugh, british rail employee
    PS1V8
    50, Dave, british rail employee
    PS1V9
    55, Norman, british rail employee
    FULPSUNK
    Unknown speaker, other
    FULPSUGP
    Group of unknown speakers, other
  2064. 1387 words from Bladder cancer check-up timing: seminar presentation
    PS1VA
    45, doctor
    FUMPSUNK
    Unknown speaker, other
    FUMPSUGP
    Group of unknown speakers, other
  2065. 2205 words from Clinical evaluation of urology patients: seminar presentation
    PS1VB
    50, doctor
    FUNPSUNK
    Unknown speaker, other
    FUNPSUGP
    Group of unknown speakers, other
  2066. 2577 words from Angiogenesis as an indicator in bladder cancer: seminar presentation
    PS1VC
    55, doctor
    FUPPSUNK
    Unknown speaker, other
    FUPPSUGP
    Group of unknown speakers, other
  2067. 1459 words from Response to treatment in bladder cancers: seminar presentation
    PS1VD
    65, doctor
    FURPSUNK
    Unknown speaker, other
    FURPSUGP
    Group of unknown speakers, other
  2068. 1338 words from Results of prostatectomy survey: seminar presentation
    PS1VE
    50, doctor
    FUSPSUNK
    Unknown speaker, other
    FUSPSUGP
    Group of unknown speakers, other
  2069. 8564 words from Presentation on consumer rights
    PS1VF
    60, retired trading standards officer
    FUTPSUNK
    Unknown speaker, other
    FUTPSUGP
    Group of unknown speakers, other
  2070. 8033 words from Talk on fire prevention
    PS1VG
    55, Jack, retired fire prevention officer
    FUUPS000
    unspecified
    FUUPSUNK
    Unknown speaker, other
    FUUPSUGP
    Group of unknown speakers, other
  2071. 9730 words from Radio Forth: radio broadcast
    PS223
    David, disc jockey, Other participants are radio listening phone ins.
    FX5PS000
    unspecified
    FX5PS001
    unspecified
    FX5PS002
    unspecified
    FX5PS003
    unspecified
    FX5PS004
    unspecified
    FX5PS005
    unspecified
    FX5PS006
    unspecified
    FX5PS007
    unspecified
    FX5PSUNK
    Unknown speaker, other
    FX5PSUGP
    Group of unknown speakers, other
  2072. 6824 words from Old Harlow W
    PS224
    Margaret, secretary
    PS225
    Vera
    PS226
    Gloria, Is the speaker.
    PS227
    Mildred
    FX6PSUNK
    Unknown speaker, other
    FX6PSUGP
    Group of unknown speakers, other
  2073. 287 words from General practitioner's surgery: medical consultation
    PS22S
    Doctor, doctor, other participants are doctors patients
    FX7PS000
    unspecified
    FX7PS001
    unspecified
    FX7PSUNK
    Unknown speaker, other
    FX7PSUGP
    Group of unknown speakers, other
  2074. 125 words from General practitioner's surgery: medical consultation
    PS22T
    Doctor, doctor, other participants are doctors patients
    FX8PS000
    unspecified
    FX8PSUNK
    Unknown speaker, other
    FX8PSUGP
    Group of unknown speakers, other
  2075. 331 words from General practitioner's surgery: medical consultation
    PS22U
    Doctor, doctor, other participants are doctors patients
    FX9PS000
    unspecified
    FX9PS001
    unspecified
    FX9PSUNK
    Unknown speaker, other
    FX9PSUGP
    Group of unknown speakers, other
  2076. 316 words from General practitioner's surgery: medical consultation
    PS22V
    Doctor, doctor, other participants are doctors patients
    FXBPS000
    unspecified
    FXBPSUNK
    Unknown speaker, other
    FXBPSUGP
    Group of unknown speakers, other
  2077. 615 words from General practitioner's surgery: medical consultation
    PS22W
    Doctor, doctor, other participants are doctors patients
    FXCPS000
    unspecified
    FXCPSUNK
    Unknown speaker, other
    FXCPSUGP
    Group of unknown speakers, other
  2078. 759 words from General practitioner's surgery: medical consultation
    PS22X
    Doctor, doctor, other participants are doctors patients
    FXDPS000
    unspecified
    FXDPSUNK
    Unknown speaker, other
    FXDPSUGP
    Group of unknown speakers, other
  2079. 110 words from General practitioner's surgery: medical consultation
    PS22Y
    Doctor, doctor, other participants are doctors patients
    FXEPS000
    unspecified
    FXEPSUNK
    Unknown speaker, other
    FXEPSUGP
    Group of unknown speakers, other
  2080. 194 words from General practitioner's surgery: medical consultation
    PS230
    Doctor, doctor, other participants are doctors patients
    FXFPS000
    unspecified
    FXFPSUNK
    Unknown speaker, other
    FXFPSUGP
    Group of unknown speakers, other
  2081. 201 words from General practitioner's surgery: medical consultation
    PS231
    Doctor, doctor, other participants are doctors patients
    FXGPS000
    unspecified
    FXGPSUNK
    Unknown speaker, other
    FXGPSUGP
    Group of unknown speakers, other
  2082. 1283 words from General practitioner's surgery: medical consultation
    PS232
    Doctor, doctor, other participants are doctors patients
    FXHPS000
    unspecified
    FXHPS001
    unspecified
    FXHPSUNK
    Unknown speaker, other
    FXHPSUGP
    Group of unknown speakers, other
  2083. 996 words from General practitioner's surgery: medical consultation
    PS233
    Doctor, doctor, other participants are doctors patients
    FXJPS000
    unspecified
    FXJPSUNK
    Unknown speaker, other
    FXJPSUGP
    Group of unknown speakers, other
  2084. 111 words from General practitioner's surgery: medical consultation
    PS234
    Doctor, doctor, other participants are doctors patients
    FXKPS000
    unspecified
    FXKPSUNK
    Unknown speaker, other
    FXKPSUGP
    Group of unknown speakers, other
  2085. 363 words from General practitioner's surgery: medical consultation
    PS235
    Doctor, doctor, other participants are doctors patients
    FXLPS000
    unspecified
    FXLPS001
    unspecified
    FXLPSUNK
    Unknown speaker, other
    FXLPSUGP
    Group of unknown speakers, other
  2086. 575 words from General practitioner's surgery: medical consultation
    PS236
    Doctor, doctor, other participants are doctors patients
    FXMPS000
    unspecified
    FXMPS001
    unspecified
    FXMPS002
    unspecified
    FXMPSUNK
    Unknown speaker, other
    FXMPSUGP
    Group of unknown speakers, other
  2087. 745 words from General practitioner's surgery: medical consultation
    PS237
    Doctor, doctor, other participants are doctors patients
    FXNPS000
    unspecified
    FXNPSUNK
    Unknown speaker, other
    FXNPSUGP
    Group of unknown speakers, other
  2088. 1736 words from Oral history project: interview
    PS238
    80+, John, crofter
    PS239
    unspecified
    FXPPSUNK
    Unknown speaker, other
    FXPPSUGP
    Group of unknown speakers, other
  2089. 11419 words from Orchestral society committee meeting
    PS23A
    23, Greg, doctor
    PS23B
    49, John, civil servant
    PS23C
    47, Pauline, teacher
    PS23D
    50, John, retired teacher
    PS23E
    44, Julia, translator
    PS23F
    46, Liz, teacher
    PS23G
    58, Malcolm, retired school master
    FXRPSUNK
    Unknown speaker, other
    FXRPSUGP
    Group of unknown speakers, other
  2090. 16319 words from Radio Trent: radio talk show
    PS23H
    weather forecaster
    PS23J
    Rob, disc jockey
    PS23K
    Lisa, care line worker
    PS23L
    Phil, newsreader
    PS23M
    Perry, australian diplomat
    PS23N
    Rob, reporter
    PS23P
    Mick, council executive
    PS23R
    Jenny, disc jockey
    PS23S
    Ken, reporter
    FXTPSUNK
    Unknown speaker, other
    FXTPSUGP
    Group of unknown speakers, other
  2091. 6194 words from Nottingham Oral History Project: interview
    PS256
    unspecified
    PS257
    79, retired engineering toolmaker
    FXUPSUNK
    Unknown speaker, other
    FXUPSUGP
    Group of unknown speakers, other
  2092. 5773 words from Nottingham Oral History Project: interview
    PS258
    unspecified
    PS259
    79, retired miner, valet, chauffer
    FXVPSUNK
    Unknown speaker, other
    FXVPSUGP
    Group of unknown speakers, other
  2093. 3054 words from Nottingham Oral History Project: interview
    FXWPS000
    unspecified
    FXWPS001
    unspecified
    FXWPSUNK
    Unknown speaker, other
    FXWPSUGP
    Group of unknown speakers, other
  2094. 9389 words from Nottingham Oral History Project: interview
    PS25A
    unspecified
    FXXPS000
    unspecified
    FXXPS001
    unspecified
    FXXPS002
    unspecified
    FXXPS003
    unspecified
    FXXPSUNK
    Unknown speaker, other
    FXXPSUGP
    Group of unknown speakers, other
  2095. 7432 words from Nottingham Oral History Project: interview
    PS25B
    unspecified
    FXYPS000
    unspecified
    FXYPSUNK
    Unknown speaker, other
    FXYPSUGP
    Group of unknown speakers, other
  2096. 3753 words from Nottingham Oral History Project: interview
    PS25C
    unspecified
    FY0PS000
    unspecified
    FY0PSUNK
    Unknown speaker, other
    FY0PSUGP
    Group of unknown speakers, other
  2097. 11012 words from Nottingham Oral History Project: interview
    PS25D
    30, interviewer
    PS25E
    80, retired miner
    FY1PSUNK
    Unknown speaker, other
    FY1PSUGP
    Group of unknown speakers, other
  2098. 3879 words from Nottingham Oral History Project: interview
    PS25F
    unspecified
    FY2PS000
    unspecified
    FY2PSUNK
    Unknown speaker, other
    FY2PSUGP
    Group of unknown speakers, other
  2099. 3131 words from Nottingham Oral History Project: interview
    PS25G
    unspecified
    FY3PS000
    unspecified
    FY3PSUNK
    Unknown speaker, other
    FY3PSUGP
    Group of unknown speakers, other
  2100. 7078 words from Nottingham Oral History Project: interview
    PS25H
    unspecified
    FY4PS000
    unspecified
    FY4PSUNK
    Unknown speaker, other
    FY4PSUGP
    Group of unknown speakers, other
  2101. 17786 words from Nottingham Oral History Project: interview
    PS25J
    unspecified
    FY5PS000
    unspecified
    FY5PSUNK
    Unknown speaker, other
    FY5PSUGP
    Group of unknown speakers, other
  2102. 8097 words from Nottingham Oral History Project: interview
    PS25K
    unspecified
    FY6PS000
    unspecified
    FY6PSUNK
    Unknown speaker, other
    FY6PSUGP
    Group of unknown speakers, other
  2103. 7583 words from Nottingham Oral History Project: interview
    PS25L
    unspecified
    FY7PS000
    unspecified
    FY7PSUNK
    Unknown speaker, other
    FY7PSUGP
    Group of unknown speakers, other
  2104. 12735 words from Nottingham Oral History Project: interview
    PS25M
    nun, social worker
    PS25N
    interviewer
    FY8PSUNK
    Unknown speaker, other
    FY8PSUGP
    Group of unknown speakers, other
  2105. 5789 words from Tutorial: GCSE mathematics lesson
    PS25P
    50, John, teacher
    PS25R
    16, Ian, student
    FY9PSUNK
    Unknown speaker, other
    FY9PSUGP
    Group of unknown speakers, other
  2106. 12060 words from Tutorial
    PS25S
    50, John, teacher
    PS25T
    Chris, student
    FYAPSUNK
    Unknown speaker, other
    FYAPSUGP
    Group of unknown speakers, other
  2107. 9006 words from Methodist church meeting: oral history project interview
    PS25U
    unspecified
    FYBPS000
    unspecified
    FYBPS001
    unspecified
    FYBPS002
    unspecified
    FYBPS003
    unspecified
    FYBPS004
    unspecified
    FYBPS005
    unspecified
    FYBPS006
    unspecified
    FYBPS007
    unspecified
    FYBPSUNK
    Unknown speaker, other
    FYBPSUGP
    Group of unknown speakers, other
  2108. 7441 words from Nottinghamshire Oral History Project: interview
    PS25W
    80, Ada, retired box maker
    PS25X
    30, interviewer
    FYDPSUNK
    Unknown speaker, other
    FYDPSUGP
    Group of unknown speakers, other
  2109. 5882 words from Nottinghamshire Oral History Project: interview
    PS25Y
    80, Ada, retired box maker
    PS260
    30, interviewer
    FYEPSUNK
    Unknown speaker, other
    FYEPSUGP
    Group of unknown speakers, other
  2110. 7371 words from Nottinghamshire Oral History Project: business meeting
    PS261
    interviewer
    PS262
    security guard
    FYFPSUNK
    Unknown speaker, other
    FYFPSUGP
    Group of unknown speakers, other
  2111. 7229 words from Nottinghamshire Oral History Project: business meeting
    PS263
    interviewer
    PS264
    security guard
    FYGPSUNK
    Unknown speaker, other
    FYGPSUGP
    Group of unknown speakers, other
  2112. 14372 words from Nottinghamshire Oral History Project: talk
    PS265
    84, Jack, retired
    PS266
    unspecified
    PS267
    80, Anne, retired
    FYHPSUNK
    Unknown speaker, other
    FYHPSUGP
    Group of unknown speakers, other
  2113. 11492 words from Nottinghamshire Oral History Project: talk
    PS268
    20, interviewer
    PS269
    70, retired, Ex. Political Activist
    FYJPSUNK
    Unknown speaker, other
    FYJPSUGP
    Group of unknown speakers, other
  2114. 5041 words from Nottinghamshire Oral History Project: interview
    PS26A
    interviewer
    PS26B
    police sergeant
    PS26C
    police constable
    FYKPSUNK
    Unknown speaker, other
    FYKPSUGP
    Group of unknown speakers, other
  2115. 2993 words from Nottinghamshire Oral History Project: interview
    PS26D
    interviewer
    PS26E
    building society manager
    FYLPSUNK
    Unknown speaker, other
    FYLPSUGP
    Group of unknown speakers, other
  2116. 5754 words from Nottinghamshire Oral History Project: interview
    PS26F
    interviewer
    PS26G
    pet shop owner
    FYMPSUNK
    Unknown speaker, other
    FYMPSUGP
    Group of unknown speakers, other
  2117. 7443 words from Mothers' Union general discussion
    PS1NT
    60+, 'chair'
    PS1NU
    70+, Jean
    PS1NV
    30+, Kate, doctor
    FYPPS000
    unspecified
    FYPPSUNK
    Unknown speaker, other
    FYPPSUGP
    Group of unknown speakers, other
  2118. 36070 words from Financial management for contractors. Upson, Alan BSP Professional Books UK 1987 108-214
  2119. 40097 words from After Gorbachev. White, S Cambridge University Press Cambridge 1992 143-239
  2120. 44551 words from Time's arrow. Amis, Martin Jonathan Cape London 1991 9-165
  2121. 36468 words from After the asylums. Murphy, E Faber & Faber Ltd London 1991 111-217
  2122. 38758 words from Black holes and baby universes. Hawking, Stephen W Bantam (Corgi) London 1993 1-139
  2123. 39554 words from The boat house. Gallagher, Stephen New English Library Sevenoaks 1992 43-185
  2124. 92841 words from [Miscellaneous articles about desk-top publishing] Budget, Henry et al u.p.
  2125. 40226 words from Captives. Hutson, Shaun Warner Books London 1992 163-322
  2126. 39988 words from Cathedral. Maitland, I Headline Book Publishing plc London 1993 199-341
  2127. 37926 words from Chimera. Gallagher, Stephen New English Library Sevenoaks 1991 133-250
  2128. 41289 words from Chung Kuo book 2: The broken wheel. Wingrove, David NEL Kent 1990
  2129. 43688 words from Cities and plans. Cherry, Gordon E Edward Arnold (Publishers) Ltd Sevenoaks, Kent 1988 78-179
  2130. 37534 words from The clothes in the wardrobe. Ellis, Alice T Penguin Group London 1989 5-126
  2131. 41166 words from The collector. Fowles, John Picador London 1989 115-260
  2132. 35413 words from Contemporary Britain: a geographical perspective. Champion, A G Townsend, A R Routledge & Kegan Paul plc London 1990 1-110
  2133. 41485 words from The crooked scythe. Evans, George E Faber & Faber Ltd London 1993 35-189
  2134. 40300 words from The Crow Road. Banks, Iain Abacus London 1993 157-296
  2135. 12384 words from A cure for unemployment. Kinnaird, Hugh Graham-Cameron Publishing Cambridge 1985 1-40
  2136. 39748 words from Dangerous sexualities. Mort, F Routledge & Kegan Paul plc London 1987
  2137. 40628 words from Darkfall. Laws, Stephen New English Library Sevenoaks 1993 127-275
  2138. 42153 words from Sweet dreams. Frayn, Michael Penguin Group London 1976 5-136
  2139. 45093 words from The earliest English kings. Kirby, D P Routledge & Kegan Paul plc London 1992 77-179
  2140. 41462 words from The Fontana history of the environmental sciences. Bowler, P Fontana Press London 1992 248-378
  2141. 15479 words from Design and management techniques for fire prevention in high bay warehouses. National Materials Handling Centre Cranfield 1980 1-82
  2142. 40217 words from The Lucy ghosts. Shah, Eddy Corgi Books London 1993 321-452
  2143. 39858 words from The holy thief. Peters, Ellis Headline Book Publishing plc London 1993
  2144. 38102 words from Hand in glove. Goddard, Robert Corgi Books London 1993 267-404
  2145. 41082 words from Heathen. Hutson, S Warner Books London 1993 132-321
  2146. 39174 words from The idea of higher education. Barnett, R Open University Press Milton Keynes 1990
  2147. 41733 words from Indigo. Warner, Marina Chatto & Windus Ltd London 1992 143-268
  2148. 37992 words from Ceremony of innocence. Carmichael, K Macmillan Publishers Ltd Basingstoke 1991
  2149. 47592 words from Organisational analysis. BPP Management Education Ltd London 1990-10
  2150. 66687 words from [National Congress on Languages in Education: miscellaneous documents] Brumfit, C National Congress on Languages in Education Brighton 1988/1989
  2151. 42247 words from Unexplained laughter. Ellis, Alice T Gerald Duckworth & Company Ltd London 1985 7-143
  2152. 41526 words from Passing on. Lively, P Penguin Group London 1990 58-178
  2153. 34207 words from The lost prince. Wood, B Headline Book Publishing plc London 1992
  2154. 6131 words from Making cocoa for Kingsley Amis. Cope, Wendy Faber & Faber Ltd London 1986 13-69
  2155. 37516 words from Towards the end of the morning. Frayn, Michael Penguin Group London 1969 62-193
  2156. 39427 words from The magus. Fowles, J Pan Books Ltd London 1988 72-175
  2157. 39296 words from Making of memory from molecules to mind. Rose, Steven Bantam Press London 1992 159-273
  2158. 41007 words from A midsummer killing. Barnes, Trevor New English Library Sevenoaks 1991
  2159. 40473 words from A nest of singing birds. Murphy, E Headline Book Publishing plc London 1993 235-366
  2160. 40208 words from The other side of heaven. James, W Orbit London 1993
  2161. 38787 words from Public administration in Britain today. Greenwood, J Wilson, D Unwin Hyman Ltd London 1989 121-221
  2162. 39372 words from Flaubert's parrot. Barnes, J Picador London 1985 49-159
  2163. 40093 words from Paying for welfare: The 1990s. Glennerster, H Harvester & Wheatsheaf Hemel Hempstead 1992
  2164. 39817 words from Pillars of gold. Ellis, Alice T Penguin Group London 1993 1-140
  2165. 39478 words from Polar ecology. Stonehouse, B Chapman & Hall USA 1989 62-197
  2166. 40847 words from Policy and practice in primary education. Alexander, R Routledge & Kegan Paul plc London 1992
  2167. 44550 words from Power in capitalist society. Furlong, P Cox, A Page, E Wheatsheaf London 1986 45-191
  2168. 38729 words from Contemporary issues in public disorder. Waddington, D Routledge & Kegan Paul plc London 1992
  2169. 34787 words from Public order and private lives. Brake, M Hale, C Routledge & Kegan Paul plc London 1992 94-173
  2170. 43540 words from Rebel angel. Wood, B Headline Book Publishing plc London 1993 162-252
  2171. 38774 words from Lucifer rising. Mortimore, J Lane, A Doctor who books London 1993 111-248
  2172. 46614 words from Christine Brooke-Rose and contemporary fiction. Birch, S Oxford University Press Oxford 1994
  2173. 34765 words from Soviet relations with Latin America. Miller, N Cambridge University Press Cambridge 1989 5-108
  2174. 37787 words from Strawberries and wine. Nash, E New Author Publications Cheltenham 1993 181-280
  2175. 7524 words from The man with night sweats. Gunn, T Faber & Faber Ltd London 1992 1-75
  2176. 39869 words from Taped. Barnes, Trevor Coronet Books London 1993 66-187
  2177. 35305 words from A history of the world in 10½ Chapters. Barnes, J Picador London 1990 143-246
  2178. 43527 words from A walk to the Western Isles. Delaney, F HarperCollins London 1993
  2179. 41798 words from Reconstructing the welfare state. Johnson, N Harvester & Wheatsheaf Hemel Hempstead 1990
  2180. 21391 words from The Artist's and Illustrator's Magazine. Artist's & Illustrator's Mag London 1991-10
  2181. 8733 words from Brownie. Girl Guides Association London 1991-12/1992-03
  2182. 9551 words from Brownie. Girl Guides Association London 1991-12/1992-03
  2183. 10105 words from Brownie. Girl Guides Association London 1991-12/1992-03
  2184. 10332 words from Brownie. Girl Guides Association London 1991-12/1992-03
  2185. 1976 words from Canada: Ontario the Unexpected. National Holidays Wigan 1990
  2186. 24954 words from Canoeist. S T & R J Fisher Appleford, Oxon 1991-10
  2187. 27077 words from Credit Management. Institute of Credit Management Stamford, Lincs 1992
  2188. 25048 words from Credit Management. Institute of Credit Management Stamford, Lincs 1992-03
  2189. 12028 words from [Collection of estate agents' property details] u.p.
  2190. 31339 words from Falcon Sailing. Falcon Sailing 1990
  2191. 28388 words from Golf Monthly. Specialist & Leisure Magazines Group London 1991-02
  2192. 31134 words from BBC Good Food. Redwood Publishing Company. London 1991
  2193. 59437 words from Harpers & Queen. The National Magazine Company Ltd London 1990-04
  2194. 47126 words from Ideal Home. South Bank Publishing group London 1991
  2195. 15830 words from [JFIT newsletters] Institutute of Electrical Engineers 1990/1991
  2196. 37999 words from Marxism Today. u.p.
  2197. 18793 words from Which Mortgage. The Brass Tacks Pub Company Ltd London 1991-10
  2198. 20496 words from The National Trust Magazine. The National Trust London 1991
  2199. 6471 words from The National Waterways Museum. National Waterways Museum Gloucester 1990
  2200. 22740 words from [Birmingham City Council: official leaflets] u.p.
  2201. 11662 words from [Official leaflets] u.p.
  2202. 3170 words from [Vale of White Horse District Council: official leaflets] u.p.
  2203. 27260 words from Outdoor Action. Hawker Consumer Publications London 1991-08
  2204. 34495 words from Parents. EMAP Consumer Publications Ltd London 1991
  2205. 67934 words from She. The National Magazine Company Ltd London 1989-10
  2206. 30472 words from Ski Survey. Ski Club of Great Britain London 1991
  2207. 27597 words from Treasure Hunting. Treasure Hunting Publications Brentwood, Essex 1991-10
  2208. 29678 words from Treasure Hunting. Treasure Hunting Publications Brentwood, Essex 1992
  2209. 18421 words from The Birmingham Magazine. Birmingham University Birmingham 1990-08
  2210. 17124 words from Wave Magazine. Wave Publishing London 1990
  2211. 46909 words from BBC Wildlife. Wildlife Publications Ltd London 1991
  2212. 20376 words from Women's Art. Townsend, S Women artists slide library London 1993
  2213. 31761 words from Woman. IPC Magazines Ltd London 1991
  2214. 30569 words from Woman. IPC Magazines Ltd London 1991
  2215. 45792 words from Yachting World. IPC Magazines Ltd London 1991-02
  2216. 15168 words from Marketing Week January 17. Centaur Communications London 1992-01-17
  2217. 34457 words from Daughter of the Dales. Hauxwell, Hannah Cockcroft, Barry Century Hutchinson London 1991 173-318
  2218. 40735 words from I believe in the Holy Spirit. Green, Michael Hodder & Stoughton Ltd Sevenoaks, Kent 1985 6-125
  2219. 41296 words from Peace and war: growing up in Fascist Italy. Newby, Wanda Picador London 1991 59-187
  2220. 47904 words from Sounds. Spotlight Publications London 1990-11-10
  2221. 40637 words from How to combat alcoholism & addiction. Lefever, Robert Promis Books Ltd UK 1988 1-119
  2222. 38783 words from Death of an expert witness. James, P D Sphere Books Ltd London 1979 9-135
  2223. 42123 words from Elements of marketing. Morden, A R D P Publications Ltd London 1987 63-234
  2224. 38517 words from The Fraxilly fracas. Hill, Douglas Victor Gollancz Ltd London 1989 8-127
  2225. 40398 words from Weekly Hansard. House of Commons Official Report Report, House of Commons Official HMSO London 1989
  2226. 41882 words from The Licensing (Scotland) Act 1976. Allan, Johnet alW Green & Sons LtdUK19891-154
  2227. 23544 words from Instrument flying & background to the instrument & IMC. Agazarian, Monique GMS Enterprises UK 1988 1-109
  2228. 44350 words from Introduction to British politics: analysing a capitalist democracy. Dearlove, John Saunders, Peter Polity Press Cambridge 1988 12-109
  2229. 15210 words from The laws of Occam programming. Hoare, C A R Roscoe, A W Oxford University Computing Laboratory UK 1986 1-77
  2230. 39360 words from The Oxford English programme. Seely, John et al Oxford University Press Oxford 1990 1-133
  2231. 42967 words from The Shah's last ride: the story of the exile, misadventures, and death of the Emperor. Shawcross, William Pan Books Ltd London 1989 3-113
  2232. 40351 words from Vets might fly. Herriot, James Pan Books Ltd London 1977 7-120
  2233. 20472 words from Weaving's bankruptcy procedure. Frieze, Steven A Longman Law Tax & Finance UK 1990 1-66
  2234. 12798 words from Justice and Peace Group meeting
    PS1VH
    40, Charlie, traidcraft worker
    PS1VJ
    40, Moira, traidcraft worker
    G3UPS000
    unspecified
    G3UPS001
    unspecified
    G3UPS002
    unspecified
    G3UPS003
    unspecified
    G3UPS004
    unspecified
    G3UPS005
    unspecified
    G3UPS006
    unspecified
    G3UPSUNK
    Unknown speaker, other
    G3UPSUGP
    Group of unknown speakers, other
  2235. 3909 words from Music lesson: grade V music theory:
    PS1VK
    50, Gill, tutor
    PS1VL
    14, Tom, student
  2236. 3361 words from Music lesson: grade V music theory
    PS1VM
    50, Gill, tutor
    PS1VN
    14, Tom, student
  2237. 7417 words from Flower-arranging demonstration
    PS1VP
    60, Anna, retired
    PS1VR
    55, retired
    G3XPSUNK
    Unknown speaker, other
    G3XPSUGP
    Group of unknown speakers, other
  2238. 7482 words from Careers guidance: seminar
    PS1VS
    50, Martin, careers advisor
    PS1VT
    20, Lente, student
  2239. 617 words from Medical consultation
    PS1VU
    60, doctor
    PS1VV
    50+
    G42PSUNK
    Unknown speaker, other
    G42PSUGP
    Group of unknown speakers, other
  2240. 667 words from Medical consultation
    PS1VW
    60, doctor
    PS1VX
    18, John
  2241. 470 words from Medical consultation
    PS1VY
    60, doctor
    PS1W0
    65, Isobel
  2242. 1117 words from Medical consultation
    PS1W1
    60, doctor
    PS1W2
    60, Agnes
  2243. 594 words from Medical consultation
    PS1W3
    60, doctor
    PS1W4
    20, Jim
  2244. 890 words from Medical consultation
    PS1W5
    60, doctor
    PS1W6
    30, Cathy
  2245. 375 words from Medical consultation
    PS1W7
    60, doctor
    PS1W8
    60
  2246. 727 words from Medical consultation
    PS1W9
    60, doctor
    PS1WA
    50
  2247. 944 words from Medical consultation
    PS1WB
    60, doctor
    G4APSUNK
    Unknown speaker, other
    G4APSUGP
    Group of unknown speakers, other
  2248. 800 words from Medical consultation
    PS1WP
    patient
    PS1WD
    60, doctor
  2249. 368 words from Medical consultation
    PS1WF
    60, doctor
    G4CPS000
    unspecified
    G4CPSUNK
    Unknown speaker, other
    G4CPSUGP
    Group of unknown speakers, other
  2250. 901 words from Medical consultation
    PS1WH
    60, doctor
    G4DPS000
    unspecified
  2251. 505 words from Medical consultation
    PS1WK
    60, doctor
    G4EPS000
    unspecified
  2252. 5664 words from Pre-retirement course: presentation
    PS1WM
    75+, course director
    G4FPSUNK
    Unknown speaker, other
    G4FPSUGP
    Group of unknown speakers, other
  2253. 7520 words from Pre-retirement course: presentation
    PS1WN
    80+, senior fitness instructor
    G4GPSUNK
    Unknown speaker, other
    G4GPSUGP
    Group of unknown speakers, other
  2254. 27819 words from Pre-retirement course: presentation
    G4HPS1WP
    40, John, financial advisor
    G4HPSUNK
    Unknown speaker, other
    G4HPSUGP
    Group of unknown speakers, other
  2255. 2461 words from Pre-retirement course: presentation
    PS1WR
    40, John, financial advisor
    G4JPS000
    unspecified
    G4JPSUNK
    Unknown speaker, other
    G4JPSUGP
    Group of unknown speakers, other
  2256. 9381 words from Word-processing tutorial
    PS1WS
    50, John, tutor
    PS1WT
    45, Sue, secretary
    PS1WU
    16, Sarah, student
  2257. 10262 words from Lockmaking in Willenhall: conversation with Dick Brown, lockmaker
    PS21S
    m. glasson, interviewer
    PS21T
    Dick, lockmaker
    G4NPS000
    unspecified
    G4NPSUNK
    Unknown speaker, other
    G4NPSUGP
    Group of unknown speakers, other
  2258. 2681 words from Experiences of the leather trade: conversation with John Hooper, leather trader
    PS21U
    j. hammond, interviewer
    PS21V
    John, leather trader
    G4PPSUNK
    Unknown speaker, other
    G4PPSUGP
    Group of unknown speakers, other
  2259. 7755 words from Zeppelin raids, 1916: conversation with Gilbert Bromley
    PS21W
    j. hammond, interviewer
    PS21X
    Gilbert, leather trader
    G4RPSUNK
    Unknown speaker, other
    G4RPSUGP
    Group of unknown speakers, other
  2260. 5670 words from Life in Caldmore: conversation with Bhagan Singh
    PS21Y
    j. hammond, interviewer
    PS220
    Bhagan
    G4SPSUNK
    Unknown speaker, other
    G4SPSUGP
    Group of unknown speakers, other
  2261. 11043 words from Co-operative movement: conversation with Ruth Jackson
    PS221
    m. glasson, interviewer
    PS222
    Ruth
    G4TPSUNK
    Unknown speaker, other
    G4TPSUGP
    Group of unknown speakers, other
  2262. 7129 words from Sewage - Severn-Trent Water: talk
    PS26L
    50, j. childs, sewage tmt expert
    G4UPSUNK
    Unknown speaker, other
    G4UPSUGP
    Group of unknown speakers, other
  2263. 6865 words from First-year undergraduate tutorial
    PS26M
    23, Dave, tutor
    PS26N
    18, sally-ann, student
    PS26P
    18, Marilyn, student
    PS26R
    18, Chris, student
    G4VPSUNK
    Unknown speaker, other
    G4VPSUGP
    Group of unknown speakers, other
  2264. 6304 words from First-year undergraduate tutorial: linguistics
    PS26U
    Dave, tutor
    PS26V
    Scott, student
    PS26W
    Lindsay, student
    PS26X
    Rebecca, student
    G4WPS000
    unspecified
    G4WPS001
    unspecified
    G4WPSUNK
    Unknown speaker, other
    G4WPSUGP
    Group of unknown speakers, other
  2265. 17243 words from Careers meeting
    PS26Y
    Allan, manager
    PS270
    Sue, manager
    PS271
    Liz, manager
    PS272
    Cynthia, manager
    PS273
    Jayne, manager
    G4XPSUNK
    Unknown speaker, other
    G4XPSUGP
    Group of unknown speakers, other
  2266. 56 words from Medical consultation
    PS274
    doctor
    PS275
    patient
    G4YPS000
    unspecified
    G4YPSUNK
    Unknown speaker, other
    G4YPSUGP
    Group of unknown speakers, other
  2267. 125 words from Medical consultation
    PS276
    doctor
    PS277
    patient
    G50PSUNK
    Unknown speaker, other
    G50PSUGP
    Group of unknown speakers, other
  2268. 252 words from Medical consultation
    PS278
    doctor
    PS279
    patient
    G51PSUNK
    Unknown speaker, other
    G51PSUGP
    Group of unknown speakers, other
  2269. 261 words from Medical consultation
    PS27A
    doctor
    PS27B
    patient
    G52PSUNK
    Unknown speaker, other
    G52PSUGP
    Group of unknown speakers, other
  2270. 238 words from Medical consultation
    PS27C
    doctor
    PS27D
    patient
    G53PSUNK
    Unknown speaker, other
    G53PSUGP
    Group of unknown speakers, other
  2271. 45 words from Medical consultation
    PS27E
    doctor
    PS27F
    patient
    G54PSUNK
    Unknown speaker, other
    G54PSUGP
    Group of unknown speakers, other
  2272. 578 words from Medical consultation
    PS27G
    doctor
    PS27H
    patient
    G55PSUNK
    Unknown speaker, other
    G55PSUGP
    Group of unknown speakers, other
  2273. 534 words from Medical consultation
    PS27J
    doctor
    PS27K
    patient
    G56PSUNK
    Unknown speaker, other
    G56PSUGP
    Group of unknown speakers, other
  2274. 408 words from Medical consultation
    PS27L
    doctor
    PS27M
    patient
    G57PSUNK
    Unknown speaker, other
    G57PSUGP
    Group of unknown speakers, other
  2275. 469 words from Medical consultation
    PS27N
    doctor
    PS27P
    patient
    G58PSUNK
    Unknown speaker, other
    G58PSUGP
    Group of unknown speakers, other
  2276. 7676 words from Golf club events meeting
    PS27R
    All participents unknown
    PS27S
    May
    PS27T
    Edith
    PS27U
    Jim
    PS27V
    Duncan
    PS27W
    Agnes
    PS27X
    Margaret
    PS27Y
    Kell
    G59PSUNK
    Unknown speaker, other
    G59PSUGP
    Group of unknown speakers, other
  2277. 9269 words from Auction rooms
    PS281
    50, auctioneer
    G5APSUNK
    Unknown speaker, other
    G5APSUGP
    Group of unknown speakers, other
  2278. 4368 words from Rotary Club meeting: lecture
    PS282
    a. ritchie
    G5BPS000
    unspecified
    G5BPS001
    unspecified
    G5BPS002
    unspecified
    G5BPS003
    unspecified
    G5BPS004
    unspecified
    G5BPS005
    unspecified
    G5BPS006
    unspecified
    G5BPS007
    unspecified
    G5BPSUNK
    Unknown speaker, other
    G5BPSUGP
    Group of unknown speakers, other
  2279. 425 words from Medical consultation
    PS283
    general practitioner
    G5CPS000
    unspecified
    G5CPSUNK
    Unknown speaker, other
    G5CPSUGP
    Group of unknown speakers, other
  2280. 616 words from Medical consultation
    PS284
    general practitioner
    G5DPS000
    unspecified
    G5DPS001
    unspecified
    G5DPS002
    unspecified
    G5DPSUNK
    Unknown speaker, other
    G5DPSUGP
    Group of unknown speakers, other
  2281. 1680 words from Medical consultation
    PS285
    general practitioner
    PS287
    unspecified
    G5EPSUNK
    Unknown speaker, other
    G5EPSUGP
    Group of unknown speakers, other
  2282. 526 words from Medical consultation
    PS288
    general practitioner
    PS289
    unspecified
    PS28A
    unspecified
    G5FPS000
    unspecified
    G5FPSUNK
    Unknown speaker, other
    G5FPSUGP
    Group of unknown speakers, other
  2283. 9806 words from Meeting: selection of candidate for election to European Parliament
    PS2AW
    Chairperson of meeting.
    PS2AX
    john begg, politician, Euro candidate presenting self for selection
    PS2AY
    frank harasikwa, politician, Euro candidate presenting self for selection
    PS2B0
    neil derbyshire, Returning officer of meeting
    G5GPSUNK
    Unknown speaker, other
    G5GPSUGP
    Group of unknown speakers, other
  2284. 7563 words from Sermons
    PS2B1
    minister
  2285. 11384 words from Market research interview
    PS2B2
    55, market researcher
    PS2B3
    65, Bill, doctor
    PS2B4
    59, housewife
    G5JPSUNK
    Unknown speaker, other
    G5JPSUGP
    Group of unknown speakers, other
  2286. 11137 words from Bible study group meeting
    PS2B5
    Matt
    PS2B6
    Sarah
    PS2B7
    Janet
    PS2B8
    60+, Jack
    PS2B9
    Alan
    PS2BA
    Dennis
    PS2BB
    Rita
    PS2BC
    John
    PS2BD
    Pat, Latecomer to meeting
    G5KPSUNK
    Unknown speaker, other
    G5KPSUGP
    Group of unknown speakers, other
  2287. 914 words from Medical consultation
    PS2BE
    35, general practitioner
    PS2BF
    Patient of participant 1
    G5LPSUNK
    Unknown speaker, other
    G5LPSUGP
    Group of unknown speakers, other
  2288. 1697 words from Medical consultation
    PS2BG
    35, general practitioner
    PS2BH
    unspecified
  2289. 1210 words from Medical consultation
    PS2BJ
    35, general practitioner, Doctor of participants 2, 3, 4
    PS2BK
    20+
    PS2BL
    6, James
    PS2BM
    3+
    G5NPSUNK
    Unknown speaker, other
    G5NPSUGP
    Group of unknown speakers, other
  2290. 1155 words from Medical consultation
    PS2BN
    35, general practitioner
    PS2BP
    unspecified
  2291. 1451 words from Medical consultation
    PS2BR
    35, general practitioner
    PS2BS
    66
  2292. 1278 words from Medical consultation
    PS2BT
    35, general practitioner
    PS2BU
    35+
    PS2BV
    14, Elizabeth, schoolchild
    G5SPSUNK
    Unknown speaker, other
    G5SPSUGP
    Group of unknown speakers, other
  2293. 1731 words from Medical consultation
    PS2BW
    35, general practitioner
    PS2BX
    unspecified
    G5TPSUNK
    Unknown speaker, other
    G5TPSUGP
    Group of unknown speakers, other
  2294. 1295 words from Medical consultation
    PS2BY
    35, general practitioner
    PS2C0
    19
    G5UPSUNK
    Unknown speaker, other
    G5UPSUGP
    Group of unknown speakers, other
  2295. 3209 words from Medical consultation
    PS2C1
    35, general practitioner
    PS2C2
    Meryl
    PS2C3
    unspecified
    G5VPSUNK
    Unknown speaker, other
    G5VPSUGP
    Group of unknown speakers, other
  2296. 1123 words from Medical consultation
    PS2C4
    35, general practitioner
    PS2C5
    unspecified
  2297. 1275 words from Medical consultation
    PS2C6
    35, general practitioner
    PS2C7
    unspecified
  2298. 537 words from Medical consultation
    PS2C8
    35, general practitioner
    PS2C9
    unspecified
  2299. 191 words from Medical consultation
    PS2CA
    35, general practitioner
    PS2CB
    unspecified
    G60PSUNK
    Unknown speaker, other
    G60PSUGP
    Group of unknown speakers, other
  2300. 3943 words from Tutorial on differentiation
    PS2CC
    49, John, tutor, Not a very strong Merseyside accent.
    PS2CD
    30+
    G61PSUNK
    Unknown speaker, other
    G61PSUGP
    Group of unknown speakers, other
  2301. 14821 words from Oral history project interview
    PS2CE
    87, Elizabeth, retired farmer and housewife, Born in Dalvaine, Angus.
    PS2CF
    30+, researcher, Interviewing other 2 participants.
    PS2CG
    80+
    G62PSUNK
    Unknown speaker, other
    G62PSUGP
    Group of unknown speakers, other
  2302. 8182 words from Oral history project interview
    PS2CH
    40+, Interviewing other three participants.
    PS2CJ
    60+, Hugh, retired shipbuilder
    PS2CK
    60+, Cathie, housewife
    PS2CL
    60+, Paddy, retired shipbuilder
    G63PSUNK
    Unknown speaker, other
    G63PSUGP
    Group of unknown speakers, other
  2303. 5805 words from Oral history project interview
    PS2CM
    92, Eric, retired lecturer in pharmacy, Born in Girran.
    PS2CN
    Ann, Interviewing participant 2.
  2304. 42474 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2305. 34403 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2306. 31618 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2307. 29880 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2308. 30437 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2309. 32083 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2310. 33733 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2311. 31405 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2312. 33250 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2313. 25917 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2314. 29037 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2315. 24405 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2316. 35504 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2317. 28130 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2318. 29520 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2319. 39225 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2320. 34667 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2321. 32973 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2322. 29537 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2323. 41380 words from The Dictionary of National Biography: Missing persons. Nicholls, C S Oxford University Press Oxford 1993
  2324. 42245 words from Atmospheric pollution: causes, effects and control policies. Elsom, Derek M Blackwell Oxford 1992 82-226
  2325. 42575 words from Administrative law. Craig, P P Sweet & Maxwell Ltd London 1991 197-305
  2326. 41911 words from The age of science: the scientifi world-view in the nineteenth century. Knight, David Basil Blackwell Ltd Oxford 1988 88-205
  2327. 42264 words from Animal behaviour: a concise introduction. Ridley, Mark Blackwell Scientific Publications Oxford 1986 50-176
  2328. 39706 words from Laura Ashley: a life by design. Sebba, Anne George Weidenfeld & Nicolson Ltd London 1990 75-169
  2329. 36054 words from Birds of Britain and Europe. Heinzel, H Fitter, R F Parslow, J HarperCollins London 1972
  2330. 22316 words from Curtains and blinds. Kittier, Eileen Ward Lock Ltd London 1990 6-70
  2331. 41701 words from Corporate resource allocation. Tomkins, Cyril Basil Blackwell Ltd Oxford 1991 89-207
  2332. 40596 words from A clubbable woman. Hill, Reginald Grafton Books London 1987 83-250
  2333. 44791 words from Calypso's Island. Ash, Rosalie Mills & Boon Richmond, Surrey 1993 7-181
  2334. 43211 words from Cast in order of disappearance. Brett, Simon Vicor Gollancz London 1975 31-192
  2335. 39482 words from Chung Kuo: The white mountain. Wingrove, David New English Library Sevenoaks 1991 91-171
  2336. 37487 words from The concise Oxford history of music. Abraham, Gerald Oxford University Press Oxford 1985 201-327
  2337. 35897 words from Cubism: a history and an analysis 1907-14. Golding, John Faber & Faber Ltd London 1988 1-95
  2338. 40768 words from Daughters of the house. Roberts, Michele Virago Press Ltd London 1993 30-153
  2339. 6264 words from Taped. Barnes, Trevor Coronet Books London 1993 1-41
  2340. 41125 words from Dark dance. Lee, Tanith Warner Books London 1993 168-335
  2341. 39128 words from Producing and reducing disaffection: curricula for all. Coulby, D Booth, T Open University Press Milton Keynes 1987 67-150
  2342. 10405 words from The picture of Dorian Gray: Oxford Bookworms edition. Nevile, Jill Oxford University Press Oxford 1989 1-57
  2343. 40020 words from Freelance death. Taylor, Andrew Victor Gollancz Ltd London 1993 52-175
  2344. 42244 words from Further education today: a critical review. Roberts, I F Cantor, Leonard M Routledge & Kegan Paul plc London 1986 88-184
  2345. 41699 words from Women in England 1870-1950. Lewis, Jane Harvester & Wheatsheaf Hemel Hempstead 1984 1-106
  2346. 37559 words from The lost father. Warner, Marina Picador London 1989 42-126
  2347. 40767 words from Management: theory and practice. Cole, Gerald A D P Publications Ltd London 225-360
  2348. 44759 words from Geomorphology. Sparks, B W Longman Scientific & Technical Harlow 1986 221-342
  2349. 20066 words from Garden pools, waterfalls and fountains. Booth-Moores, Andrew Ward Lock Ltd London 1991 7-93
  2350. 42243 words from Guilty knowledge. Grant-Adamson, Lesley Faber & Faber Ltd London 1988 133-259
  2351. 6140 words from The piano. Border, Rosemary Oxford University Press Oxford 1989 1-39
  2352. 40644 words from Introduction to politics. Gill, Peter Ponton, Geoffrey Blackwell Oxford 1984 119-237
  2353. 38229 words from Isvik. Innes, Hammond Chapmans Publishers Ltd London 1991 85-189
  2354. 13411 words from Dr Jekyll and Mr Hyde: Oxford Bookworms edition. Border, Rosemary Oxford University Press Oxford 1991 1-74
  2355. 42782 words from Love over gold. James, Susannah Corgi Books London 1993 115-290
  2356. 6021 words from The love of a king. Barnes, Trevor Dainty, Peter Oxford University Press Oxford 1989 1-38
  2357. 41927 words from Language processing in children and adults. Coltheart, Max Harris, Margaret Routledge & Kegan Paul plc London 1986 133-252
  2358. 35739 words from Managing the modular course. Watson, David Open University Press Milton Keynes 1989 9-135
  2359. 33192 words from The martial arts. Lewis, Peter Tiger Books International London 1991 6-137
  2360. 39675 words from Principles of modern company law. Gower Sweet & Maxwell Ltd London 1992 355-476
  2361. 40926 words from The modern English legal system. Gunn, N J Bailey, S H Sweet & Maxwell Ltd London 1993
  2362. 37765 words from Musical composition. Brindle Smith, Reginald Oxford University Press Oxford 1986 7-147
  2363. 39027 words from The Soviet Union and the strategy of non-alignment in the Third World. Allison, Roy Cambridge University Press Cambridge 1988 126-217
  2364. 41954 words from The night mayor. Newman, Kim New English Library Sevenoaks 1990 49-185
  2365. 6047 words from New Yorkers. Mowat, Diane Hutson, S Oxford University Press Oxford 1991 6-44
  2366. 38887 words from Organisation and management in the public sector. Lawton, Alan Rose, Aidan Pitman Publishing London 1991 37-132
  2367. 39642 words from Over the edge. Rowlands, Betty Coronet Books London 1993 59-184
  2368. 44383 words from Offences against public order. Smith, A T H Sweet & Maxwell Ltd London 1987 86-195
  2369. 23503 words from Orchestral technique: a manual for students. Jacob, Gordon Oxford University Press Oxford 1982 6-90
  2370. 38353 words from The picturegoers. Lodge, David Penguin Group London 1993 112-238
  2371. 42529 words from Public sector accounting. Pendlebury, Maurice Jones, Rowan Pitman Publishing London 1992 109-218
  2372. 40549 words from The nature of physical geography. Gregory, K J Edward Arnold (Publishers) Ltd Sevenoaks, Kent 1985 65-160
  2373. 27098 words from Radical approaches to adult education: A Reader. Lovett, Tom Routledge & Kegan Paul plc London 1988 139-262
  2374. 37881 words from The railway station: a social history. Oxford University Press Oxford 1988
  2375. 43912 words from Rain. Gallagher, Stephen New English Library Sevenoaks 1990 132-293
  2376. 40683 words from Rape and the legal process. Temkin, Jennifer Sweet & Maxwell Ltd Cheltenham 1987
  2377. 39613 words from Sign for the sacred. Storm, Constantine Headline Book Publishing plc London 1993 127-236
  2378. 41698 words from Wycliffe and the scapegoat. Burley, W J Corgi Books London 1987 27-158
  2379. 39853 words from Sociology of postmodernism. Lash, Scott Routledge & Kegan Paul plc London 1990 151-265
  2380. 8765 words from Skyjack! Oxford Bookworms edition. Vicary, Tim Oxford University Press Oxford 1989 1-54
  2381. 42297 words from The solar system. Jones, Barrie William Pergamon Press Oxford 1984
  2382. 32881 words from Tess of the d'Urbervilles: Oxford Bookworms edition. Hardy, Thomas West, Clare Oxford University Press Oxford 1989 1-119
  2383. 39530 words from Trail of the octopus: from Beirut to Lockerbie; Inside the DIA. Goddard, Donald Coleman, Lester K Bloomsbury Publishing Ltd London 1993 121-221
  2384. 5872 words from Voodoo Island. Duckworth, Michael Oxford University Press Oxford 1989 1-39
  2385. 37562 words from Wycliffe and the cycle of death. Burley, W J Corgi Books London 1991 42-174
  2386. 6371 words from White death: Oxford Bookworms edition (stage 1 readers) Vicary, Tim Oxford University Press Oxford 1989 1-40
  2387. 40388 words from The way to Babylon. Kearney, Paul Victor Gollancz Ltd London 1992 155-254
  2388. 41082 words from Wild justice. Grant-Adamson, Lesley Faber & Faber Ltd London 1989 75-195
  2389. 18719 words from Wuthering Heights: Oxford Bookworms edition. West, Clare Oxford University Press Oxford 1992 1-87
  2390. 39544 words from The British Journal of Social Work. Hugman, Richard Challis, David Oxford University Press Oxford 1993-08 319-434
  2391. 20811 words from Bookseller. Uden, Grant Antique Collectors Club Woodbridge, Suffolk 1993
  2392. 24091 words from Bookseller. Uden, Grant Antique Collectors Club Woodbridge, Suffolk 1993
  2393. 27407 words from Early Music. Oxford University Press Oxford 1993-05 29-120
  2394. 31847 words from Statute Law Review. Bates, J N Oxford University Press Oxford 1993 1-73
  2395. 7193 words from [Miscellaneous prayers] Smith, David K u.p.
  2396. 14430 words from [Sermons] Smith, David K u.p.
  2397. 13022 words from Atomic Energy Authority times and annual review. u.p.
  2398. 13572 words from Competitive edge. AEA Technology Didcot, Oxfordshire 1993-06
  2399. 2488 words from [LASMO July 1992 -- news releases] u.p.
  2400. 5141 words from LASMO business profile 92. u.p.
  2401. 7018 words from Pipeline. u.p.
  2402. 13679 words from Pipeline. u.p.
  2403. 13770 words from [LASMO plc. Annual Reports and Accounts 92] u.p.
  2404. 19769 words from NewsLine -- Royal Bank of Scotland. u.p.
  2405. 21951 words from NewsLine -- Royal Bank of Scotland. u.p.
  2406. 10051 words from Where people matter. The Royal Bank of Scotland
  2407. 8887 words from National Library of Scotland -- newsletter. u.p.
  2408. 11818 words from Chartered builder. Comm. Directorate Chart. Inst Ascot 1993-07
  2409. 97215 words from [Campaign for the Preservation of Rural Wales: miscellaneous unpublished documents] u.p.
  2410. 11690 words from [Juniper Green village association minutes] u.p.
  2411. 78251 words from [Collection of leaflets from Lothian Council] u.p.
  2412. 19123 words from Notes for my nephews. Robertson, Angela u.p.
  2413. 7418 words from [Personal letters] u.p.
  2414. 5444 words from [Personal letters and other ephemera] unpublished
  2415. 13051 words from Neighbourhood Watch talk: crime prevention
    PS28B
    37, Paul, police sergeant
    PS28C
    40+, Jan, housewife
    PS28D
    65+, Selwyn, retired
    PS28E
    40+, Lyn, housewife
    PS28F
    50+, housewife
    PS28G
    65+, retired
    PS28H
    60+, Dave, retired
    PS28J
    70+, retired
    GY4PS000
    unspecified
    GY4PSUNK
    Unknown speaker, other
    GY4PSUGP
    Group of unknown speakers, other
  2416. 345 words from Medical consultation
    PS28K
    doctor
    PS28L
    unspecified
  2417. 1554 words from Medical consultation
    PS28M
    doctor
    PS28N
    unspecified
  2418. 1596 words from Medical consultation
    PS28P
    doctor
    PS28R
    unspecified
  2419. 1449 words from Medical consultation
    PS28S
    doctor
    PS28T
    unspecified
    GY8PSUNK
    Unknown speaker, other
    GY8PSUGP
    Group of unknown speakers, other
  2420. 1283 words from Medical consultation
    PS28U
    doctor
    PS28V
    unspecified
    GY9PSUNK
    Unknown speaker, other
    GY9PSUGP
    Group of unknown speakers, other
  2421. 362 words from Medical consultation
    PS28W
    doctor
    PS28X
    unspecified
  2422. 1019 words from Medical consultation
    PS28Y
    doctor
    PS290
    unspecified
    GYBPSUNK
    Unknown speaker, other
    GYBPSUGP
    Group of unknown speakers, other
  2423. 1457 words from Medical consultation
    PS291
    doctor
    PS292
    unspecified
  2424. 1728 words from Medical consultation
    PS293
    doctor
    PS294
    unspecified
    GYDPSUNK
    Unknown speaker, other
    GYDPSUGP
    Group of unknown speakers, other
  2425. 974 words from Medical consultation
    PS295
    doctor
    PS296
    unspecified
  2426. 696 words from Medical consultation
    PS297
    doctor
    PS298
    unspecified
    GYFPSUNK
    Unknown speaker, other
    GYFPSUGP
    Group of unknown speakers, other
  2427. 899 words from Medical consultation
    PS299
    doctor
    PS29A
    unspecified
    GYGPSUNK
    Unknown speaker, other
    GYGPSUGP
    Group of unknown speakers, other
  2428. 502 words from Medical consultation
    PS29B
    doctor
    PS29C
    unspecified
  2429. 232 words from Medical consultation
    PS29D
    doctor
    PS29E
    unspecified
  2430. 6295 words from Oral history project: interview on housing
    PS29F
    worker at law centre
    PS29G
    unspecified
    GYKPSUNK
    Unknown speaker, other
    GYKPSUGP
    Group of unknown speakers, other
  2431. 945 words from Oral history project: interview on housing
    PS29H
    neighbourhood housing officer
    PS29J
    unspecified
    GYLPSUNK
    Unknown speaker, other
    GYLPSUGP
    Group of unknown speakers, other
  2432. 4514 words from Oral history project: interview on housing
    PS29K
    Leona, unemployed
    PS29L
    unspecified
    PS29M
    Tiffany
    GYMPSUNK
    Unknown speaker, other
    GYMPSUGP
    Group of unknown speakers, other
  2433. 6177 words from Knitwear design and history: Women's Institute meeting
    PS29N
    50+, Lewis, knitwear designer and producer
    GYNPSUNK
    Unknown speaker, other
    GYNPSUGP
    Group of unknown speakers, other
  2434. 9340 words from Tutorial maths lesson: GCSE paper 3
    PS29P
    50, John, tutor
    PS29R
    16, Ian, student
    GYPPSUNK
    Unknown speaker, other
    GYPPSUGP
    Group of unknown speakers, other
  2435. 13215 words from Chemistry tutorial: GCSE
    PS29S
    50, John, tutor
    PS29T
    16, Andrew, student
    GYRPSUNK
    Unknown speaker, other
    GYRPSUGP
    Group of unknown speakers, other
  2436. 4621 words from Oral history project: interview
    PS29U
    72, William, farmer
    PS29V
    unspecified
    GYSPS000
    unspecified
  2437. 4496 words from Oral history project: interview
    PS29W
    72, William, farmer
    PS29X
    unspecified
    PS29Y
    Sarah
  2438. 11735 words from Oral history project: interview
    PS2A0
    76, Laurie, retired
    PS2A1
    30+
    GYUPSUNK
    Unknown speaker, other
    GYUPSUGP
    Group of unknown speakers, other
  2439. 12200 words from Oral history project, Scotland: interview
    PS2A2
    Bill, engineer
    PS2A3
    Ken
  2440. 12967 words from Oral history project: interview
    PS2A4
    Malcolm
    PS2A5
    72, Swinton, retired motor engineer
  2441. 13527 words from Maths tutorial
    PS2A6
    50, John, tutor
    PS2A7
    student
    GYXPSUNK
    Unknown speaker, other
    GYXPSUGP
    Group of unknown speakers, other
  2442. 3772 words from Oral history project: interview
    PS2A8
    unspecified
    PS2A9
    carpet factory worker
    PS2AA
    Ken
    GYYPSUNK
    Unknown speaker, other
    GYYPSUGP
    Group of unknown speakers, other
  2443. 1007 words from Oral history project: interview
    PS2AB
    unspecified
    PS2AC
    carpet factory worker
    PS2AD
    Ken
  2444. 3066 words from Oral history project: interview
    PS2AE
    unspecified
    PS2AF
    carpet factory worker
    PS2AG
    Ken
    H01PSUNK
    Unknown speaker, other
    H01PSUGP
    Group of unknown speakers, other
  2445. 718 words from Oral history project: interview
    PS2AH
    unspecified
    PS2AJ
    carpet factory worker
    PS2AK
    Ken
  2446. 3099 words from Oral history project: interview
    PS2AL
    unspecified
    PS2AM
    40+, carpet factory worker
    PS2AN
    Ken
  2447. 811 words from Oral history project: interview
    PS2AP
    unspecified
    PS2AR
    office worker in carpet factory
    PS2AS
    Ken
  2448. 3375 words from Oral history project: interview
    PS2AT
    unspecified
    PS2AU
    carpet factory worker
    PS2AV
    Ken
  2449. 33414 words from BBC Good Food. Redwood Publishing Company. London 1991
  2450. 34422 words from Parents. EMAP Consumer Publications Ltd London 1991
  2451. 35920 words from Across the low meadow: Halling, a village on the Medway. Church, D Gowers, E S Christine Swift Bookshop UK 1979 1-89
  2452. 40037 words from The life of my choice. Thesiger, Wilfred Fontana Paperbacks London 1988
  2453. 37718 words from Coniston copper. Holland, Eric G Cicerone Press UK 1986 16-134
  2454. 41769 words from Patrol. Bayly, R G RG Bayly in assoc with The Self Pub Assoc UK 1989 29-190
  2455. 41918 words from Death in the City. Anderson, J R L F A Thorpe (Publishing) Ltd UK 1980 1-200
  2456. 38877 words from Atlas of management thinking. Bono, Edward de Penguin Books London 1988 1-201
  2457. 39022 words from The green behind the glass. Geras, Adele Lions Teen Tracks UK 1989 1-118
  2458. 6831 words from The initial destinations of 1984 information technology advanced course students. Gordon, Alan Science & Eng Research Council UK 1984 1-37
  2459. 27605 words from Introduction to language learning: a handbook. Burgess, Eunice Anderson, Gunilla Summer Institute of Linguistics UK 1989 1-92
  2460. 39772 words from Alien wisdom: the limits of Hellenization. Momigliano, Arnaldo Cambridge University Press Cambridge 1990 1-116
  2461. 40833 words from Money: a suicide note. Amis, Martin Penguin Group London 1985 91-202
  2462. 40277 words from Nietzsche on tragedy. Silk, M S Stern, J P Cambridge University Press Cambridge 1981 1-104
  2463. 32271 words from Optimum conditions for childbearing. Acsadi, George T F Internat Planned Parenthood Federation UK 1986 1-97
  2464. 40395 words from Offshore. Fitzgerald, Penelope Fontana Paperbacks London 1988 9-140
  2465. 14865 words from The online catalogue: developments & directions. Hildreth, Charles R Library Association Publishing Ltd London 1989 25-43
  2466. 38492 words from An introduction to polymer mechanics. Arridge, R G C Taylor & Francis UK 1985 vii-202
  2467. 37120 words from A handbook of English Language Teaching terms and practice. Seaton, Brian Macmillan Press Ltd London 1982 1-86
  2468. 43632 words from Social anthropology. Leach, Edmund Fontana Press London 1986 55-203
  2469. 1265 words from Excerpt from My favourite stories of Lakeland. Wyatt, John Lutterworth Press Cambridge 1981 113-116
  2470. 24920 words from Nonesuch. University of Bristol Bristol 1991/1992
  2471. 25461 words from Bookseller. J Whitaker & sons London 1993
  2472. 11533 words from British Rail quality assurance seminar
    PS1X2
    45, Dennis, british rail employee
    PS1X3
    22, Clare, audio transcriber
    PS1X4
    45+, Trevor, british rail employee
    PS1X5
    55+, Norman, british rail employee
    PS1X6
    50+, Mike, consultant
    H47PSUNK
    Unknown speaker, other
    H47PSUGP
    Group of unknown speakers, other
  2473. 11283 words from British Rail quality assurance seminar
    PS1X7
    45, Dennis, british rail employee
    PS1X8
    45+, Trevor, british rail employee
    PS1X9
    55+, Norman, british rail employee
    PS1XA
    50+, Mike, consultant
    PS1XB
    45+, Granville, british rail employee
    H48PSUNK
    Unknown speaker, other
    H48PSUGP
    Group of unknown speakers, other
  2474. 15815 words from Parish Council meeting
    PS1XC
    50+, Peter
    PS1XD
    40+, Anne
    PS1XE
    45+, Pat
    PS1XF
    50+, Peter
    PS1XG
    35+, Steve
    PS1XH
    50+, Christine
    PS1XJ
    50+, David
    PS1XK
    David
    PS1XL
    40+, Lynn
    H49PSUNK
    Unknown speaker, other
    H49PSUGP
    Group of unknown speakers, other
  2475. 9844 words from Labour Club public meeting
    PS1XR
    35, Steve, health worker
    PS1XS
    35, John, council worker
    PS1XT
    56, Jeff, retired
    PS1XU
    28, Ed, trade union officer
    PS1XV
    40, Graham, member of parliament
    PS1XW
    65+, Ronald, retired
    PS1XX
    65+, Ida, pensioners' movement representative
    PS1XY
    43, Alan, trade union representative
    PS1Y0
    35, Gwen, hosiery worker
    H4APSUNK
    Unknown speaker, other
    H4APSUGP
    Group of unknown speakers, other
  2476. 12641 words from Nottinghamshire Oral History Project: interview
    PS1Y2
    unspecified
    PS1Y3
    70, retired
    PS1Y4
    70, retired
  2477. 16537 words from Nottinghamshire Oral History Project: interview
    PS1Y5
    72, retired midwife
    PS1Y6
    unspecified
  2478. 710 words from Medical consultations
    PS1Y7
    60, general practitioner
    PS1Y8
    unspecified
    PS1Y9
    child
  2479. 897 words from Medical consultations
    PS1YA
    60, general practitioner
    PS1YB
    Mary
  2480. 942 words from Medical consultations
    PS1YC
    60, general practitioner
    PS1YD
    Mary
  2481. 192 words from Medical consultations
    PS1YE
    60, general practitioner
    PS1YF
    receptionist
  2482. 1142 words from Medical consultations
    PS1YG
    60, general practitioner
    PS1YH
    unspecified
    PS1YJ
    Pete
    PS1YK
    child
    H4HPSUNK
    Unknown speaker, other
    H4HPSUGP
    Group of unknown speakers, other
  2483. 474 words from Medical consultations
    PS1YL
    60, general practitioner
    PS1YM
    unspecified
  2484. 459 words from Medical consultations
    PS1YN
    60, general practitioner
    PS1YP
    Alec
    H4KPSUNK
    Unknown speaker, other
    H4KPSUGP
    Group of unknown speakers, other
  2485. 25 words from Medical consultations
    PS1YR
    60, general practitioner
    PS1YS
    unspecified
  2486. 518 words from Medical consultations
    PS1YT
    60, general practitioner
    PS1YU
    unspecified
  2487. 273 words from Medical consultations
    PS1YV
    60, general practitioner
    PS1YW
    William
  2488. 507 words from Medical consultations
    PS1YX
    60, general practitioner
    PS1YY
    June
  2489. 205 words from Medical consultations
    PS200
    60, general practitioner
    PS201
    unspecified
    H4RPSUNK
    Unknown speaker, other
    H4RPSUGP
    Group of unknown speakers, other
  2490. 445 words from Medical consultations
    PS202
    60, general practitioner
    PS203
    Bob
    H4SPSUNK
    Unknown speaker, other
    H4SPSUGP
    Group of unknown speakers, other
  2491. 418 words from Medical consultations
    PS204
    60, general practitioner
    PS205
    Suzanne
  2492. 421 words from Medical consultations
    PS206
    60, general practitioner
    PS207
    unspecified
  2493. 529 words from Medical consultations
    PS208
    60, general practitioner
    PS209
    Robert
  2494. 1066 words from Medical consultations
    PS20A
    60, general practitioner
    PS20B
    unspecified
  2495. 464 words from Medical consultations
    PS20C
    60, general practitioner
    PS20D
    unspecified
    H4XPSUNK
    Unknown speaker, other
    H4XPSUGP
    Group of unknown speakers, other
  2496. 967 words from Medical consultations
    PS20E
    60, general practitioner
    PS20F
    Mary
    H4YPSUNK
    Unknown speaker, other
    H4YPSUGP
    Group of unknown speakers, other
  2497. 582 words from Medical consultations
    PS20G
    60, general practitioner
    PS20H
    unspecified
  2498. 514 words from Medical consultations
    PS20J
    60, general practitioner
    PS20K
    Anne
  2499. 95 words from Medical consultations
    PS20L
    60, general practitioner
    PS20M
    Walter
  2500. 373 words from Medical consultations
    PS20N
    60, general practitioner
    PS20P
    unspecified
  2501. 688 words from Medical consultations
    PS20R
    60, general practitioner
    PS20S
    Mary
    H54PSUNK
    Unknown speaker, other
    H54PSUGP
    Group of unknown speakers, other
  2502. 211 words from Medical consultations
    PS20T
    60, general practitioner
    PS20U
    Carol
    H55PSUNK
    Unknown speaker, other
    H55PSUGP
    Group of unknown speakers, other
  2503. 482 words from Medical consultations
    PS20V
    60, general practitioner
    PS20W
    unspecified
  2504. 891 words from Medical consultations
    PS20X
    60, general practitioner
    PS20Y
    Steven
    H57PSUNK
    Unknown speaker, other
    H57PSUGP
    Group of unknown speakers, other
  2505. 53 words from Medical consultations
    PS210
    60, general practitioner
    PS211
    receptionist
  2506. 730 words from Medical consultations
    PS212
    60, general practitioner
    PS213
    Alison
  2507. 1079 words from Medical consultations
    PS214
    60, general practitioner
    PS215
    William
  2508. 56 words from Medical consultations
    PS216
    60, general practitioner
    PS217
    unspecified
  2509. 486 words from Medical consultations
    PS218
    60, general practitioner
    PS219
    unspecified
    PS21A
    1, Daniel
  2510. 9458 words from Careers Service: meeting
    PS21B
    30, Sue, careers advisor
    PS21C
    40, Keith, careers advisor
  2511. 8415 words from Careers Service: meeting
    PS21D
    Sue, careers advisor
    PS21E
    Bill, careers advisor
    PS21F
    Sylvia, careers advisor
    PS21G
    Kevin, careers advisor
    PS21H
    Cath, careers advisor
    PS21J
    Diane, careers advisor
    H5EPSUNK
    Unknown speaker, other
    H5EPSUGP
    Group of unknown speakers, other
  2512. 16701 words from Suffolk Sound Archive: interview
    PS22C
    unspecified
    PS22D
    77, George, retired
  2513. 14479 words from Suffolk Sound Archive: interview
    PS22E
    unspecified
    PS22F
    77, George, retired
    H5HPS000
    unspecified
  2514. 2961 words from Suffolk Sound Archive: recording a message
    PS22R
    unspecified
    H5JPSUNK
    Unknown speaker, other
    H5JPSUGP
    Group of unknown speakers, other
  2515. 842 words from Medical consultation
    PS2CP
    60, general practitioner
    PS2CR
    50+
    PS2CS
    24, David
    H5KPSUNK
    Unknown speaker, other
    H5KPSUGP
    Group of unknown speakers, other
  2516. 611 words from Medical consultation
    PS2CT
    60, general practitioner
    PS2CU
    60+, Jonathan
    H5LPSUNK
    Unknown speaker, other
    H5LPSUGP
    Group of unknown speakers, other
  2517. 442 words from Medical consultation
    PS2CV
    60, general practitioner
    PS2CW
    20+
    PS2CX
    35, Jean, nurse
    PS2CY
    50+, John
    H5MPSUNK
    Unknown speaker, other
    H5MPSUGP
    Group of unknown speakers, other
  2518. 1778 words from Medical consultation
    PS2D0
    60, general practitioner
    PS2D1
    45, Flora
    PS2D2
    50, John
    H5NPSUNK
    Unknown speaker, other
    H5NPSUGP
    Group of unknown speakers, other
  2519. 791 words from Medical consultation
    PS2D3
    60, general practitioner
    PS2D4
    70, Thomas
  2520. 158 words from Medical consultation
    PS2D5
    60, general practitioner
    PS2D6
    Charlie
  2521. 524 words from Medical consultation
    PS2D7
    60, general practitioner
    PS2D8
    5, Gary
    PS2D9
    30, Cathy
    H5SPSUNK
    Unknown speaker, other
    H5SPSUGP
    Group of unknown speakers, other
  2522. 327 words from Medical consultation
    PS2DA
    60, general practitioner
    PS2DB
    60
    H5TPSUNK
    Unknown speaker, other
    H5TPSUGP
    Group of unknown speakers, other
  2523. 733 words from Medical consultation
    PS2DC
    60, general practitioner
    PS2DD
    unspecified
    PS2DE
    unspecified
  2524. 1165 words from Medical consultation
    PS2DF
    60, general practitioner
    PS2DG
    60, Agnes
  2525. 392 words from Medical consultation
    PS2DH
    60, general practitioner
    PS2DJ
    unspecified
  2526. 283 words from Medical consultation
    PS2DK
    60, general practitioner
    PS2DL
    75, Jim
    H5XPSUNK
    Unknown speaker, other
    H5XPSUGP
    Group of unknown speakers, other
  2527. 993 words from Medical consultation
    PS2DM
    60, general practitioner
    PS2DN
    40, Katrina
    H5YPSUNK
    Unknown speaker, other
    H5YPSUGP
    Group of unknown speakers, other
  2528. 338 words from Medical consultation
    PS2DP
    60, general practitioner
    PS2DR
    60+, Cathy
  2529. 13471 words from Computer advice session
    PS2DS
    50, John, tutor
    PS2DT
    26, Simon, computer analyst
    H61PSUNK
    Unknown speaker, other
    H61PSUGP
    Group of unknown speakers, other
  2530. 42898 words from A brief history of time. Hawking, Stephen W Bantam Press London 1988 35-167
  2531. 38355 words from The deep-sea Ophiuroidea of the north Atlantic Ocean. Paterson, Gordon L J British Museum (Natural History) UK 1985 1-120
  2532. 37664 words from The Children of Dynmouth. Trevor, William Penguin Books London 1987 91-189
  2533. 35830 words from Computers in personnel. Page, Terry IMS UK 1982 23-114
  2534. 8034 words from Norther Ireland: the election of the Constitutional Convention May 1975. Knight, James The Arthur McDougall Fund UK 1975 7-17
  2535. 37359 words from Getting things done: Eva Burrows -- A biography. Green, Wendy Marshall Morgan & Scott UK 1988 3-119
  2536. 35530 words from Walking on glass. Banks, Iain Futura Publications Ltd UK 1988 11-106
  2537. 40307 words from Loving and giving. Keane, Molly Andre Deutsch Ltd UK 1988 3-123
  2538. 35918 words from The nature of the stratigraphical record. Ager, Derek V Macmillan Publishers Ltd Basingstoke 1984 1-106
  2539. 30664 words from A song twice over. Jagger, Brenda Fontana Press London 1986 141-220
  2540. 38091 words from Stepping motors: a guide to modern theory & practice. Acarnley, P P Peter Peregrins Ltd UK 1982 1-152
  2541. 43650 words from The Mufti of Istanbul: a study in the development of the Ottoman learned hierarchy. Repp, R C Ithaca Press UK 1986 27-146
  2542. 37598 words from Applied economics. Griffiths, Alan Wall, Stuart Longman Group UK Ltd Harlow 1993
  2543. 42994 words from Sale of goods and consumer credit. Dobson, A P Sweet & Maxwell Ltd London 1989 115-227
  2544. 19951 words from The hound of the Baskervilles: Oxford Bookworms edition. Nobes, Patrick Oxford University Press Oxford 1989 1-89
  2545. 49999 words from Bay of rainbows. James, Dana Mills & Boon Richmond, Surrey 1993
  2546. 36928 words from The blind watchmaker. Dawkins, Richard Penguin Group London 1991
  2547. 42499 words from The ‘small towns’ of Roman Britain. Wacher, John Burnham, Barry C BT Batsford Ltd London 1990 15-96
  2548. 35570 words from A casebook on contract. Smith, J C u.p. 193-252
  2549. 44294 words from The chymical wedding. Clarke, Lindsay Jonathan Cape London 1989 186-301
  2550. 43286 words from Claims of feeling. Ross, Malcolm The Falmer Press Lewes, East Sussex 1989 165-341
  2551. 40984 words from City of dreams. Gill, Anton Bloomsbury Publishing Ltd London 1993 33-153
  2552. 41106 words from Coffin underground. Butler, Gwendoline Fontana Press London 1991 54-215
  2553. 40534 words from Conduct of Major Maxim. Lyall, Gavin Hodder & Stoughton Ltd Sevenoaks, Kent 1982 63-186
  2554. 38887 words from Mathematics, teachers and children. Pimm, David Hodder & Stoughton Ltd Sevenoaks, Kent 1988 69-182
  2555. 40880 words from City of djinns. Dalrymple, William HarperCollins London 1993
  2556. 44336 words from Murder makes an entrée. Myers, Amy Headline Book Publishing plc London 1992 63-215
  2557. 34757 words from Clerical errors. Greenwood, D M Headline 1991 31-151
  2558. 38111 words from Europe in the eighteenth century 1713-1783. Anderson, M S Longman Group UK Ltd Harlow 1987 160-254
  2559. 42960 words from The education fact file. Hales, Margaret Mackinnon, Donald Cathcart, Heather Statham Hodder & Stoughton Ltd Sevenoaks, Kent 1991 4-174
  2560. 31887 words from Financial markets and institutions. Howells, P G A Bain, K Longman Group UK Ltd Harlow 1990
  2561. 50890 words from Forgotten fire. Mansell, Joanna Mills & Boon Richmond, Surrey 1992
  2562. 9942 words from Frankenstein: Oxford Bookworms edition. Nobes, Patrick Oxford University Press Oxford 1992 1-58
  2563. 49301 words from A French encounter. Williams, Cathy Mills & Boon Richmond, Surrey 1992
  2564. 47523 words from Gemini girl. Goodman, Liza Mills & Boon Richmond, Surrey 1992
  2565. 37987 words from General relativity. Kenyon, I R Oxford University Press Oxford 1990 1-185
  2566. 38515 words from City of gold and shadows. Peters, Ellis Headline Book Publishing plc London 1989 1-125
  2567. 45200 words from Underground. James, Russell Victor Gollancz Ltd London 1989 44-169
  2568. 6365 words from Sherlock Holmes short stories: Oxford Bookworms edition. West, Clare Oxford University Press Oxford 1989 1-38
  2569. 25518 words from Selected poems 1957-1981. Hughes, Ted Faber & Faber Ltd London 1982 35-235
  2570. 53026 words from Hunter's harem. Rees, Eleanor Mills & Boon Richmond, Surrey 1992
  2571. 43072 words from Into the blue. Goddard, Robert Transworld Publishers Ltd London 1990 119-225
  2572. 41352 words from Interpreting the landscape. Aston, Michael BT Batsford Ltd London 1992 21-118
  2573. 42864 words from Modern literary theory. Jefferson, Ann Robey, David BT Batsford Ltd London 1986
  2574. 14678 words from [Access course essays] Woodall, Julia R u.p.
  2575. 43899 words from Legacy of love. Harvey, Caroline Transworld Publishers Ltd London 1992 173-309
  2576. 40288 words from Little victims. Barnard, Robert Corgi Books London 1993 5-150
  2577. 41729 words from The grail murders. Clynes, Michael Headline Book Publishing plc London 1993 77-219
  2578. 41390 words from A treaty too far: a new policy for Europe. Spicer, Michael Fourth Estate London 1992 56-200
  2579. 38773 words from Murder unprompted. Brett, Simon Futura Publications Ltd UK 1984 45-170
  2580. 1586 words from The magician. Escott, John Oxford University Press Oxford 1993 2-21
  2581. 53664 words from Mask of deception. Wood, Sara Mills & Boon Richmond, Surrey 1993
  2582. 46161 words from Miracles can happen. Howard, Stephanie Mills & Boon Richmond, Surrey 1992
  2583. 41222 words from The Nightingale Gallery. Harding, Paul Headline Book Publishing plc London 1992 75-226
  2584. 36403 words from Organizing knowledge: an introduction to information retrieval. Rowley, Jennifer E Ashgate Publishing Ltd Aldershot 1992 157-293
  2585. 32171 words from Oxford Economic Papers. Oxford University Press Oxford 1993-01 5-129
  2586. 44223 words from The prince of darkness. Doherty, P C Headline Book Publishing plc London 1992
  2587. 42267 words from Posthumous papers. Barnard, Robert Corgi Books London 1992 36-171
  2588. 2154 words from Escape from Planet Zog. Davies, Paul Oxford University Press Oxford 1992 2-29
  2589. 41111 words from Political sociology. Bottomore, Tom Pluto Press London 1993 12-109
  2590. 43844 words from Persephone. Joseph, Jenny Bloodaxe books ltd Newcastle upon Tyne 1986 117-260
  2591. 52118 words from A private arrangement. Darcy, Lilian Mills & Boon Richmond, Surrey 1993
  2592. 38470 words from Lectures on public economics. Stiglitz, Joseph E Atkinson, Anthony B McGraw-Hill Book Company Maidenhead 1980 200-316
  2593. 52500 words from Ransacked heart. Bauling, Jane Mills & Boon Richmond, Surrey 1993
  2594. 43219 words from Rational expectations in macroeconomics. Attfield, C L F Demery, D Duck, N W Basil Blackwell Ltd Oxford 1991
  2595. 37658 words from The redundancy of courage. Mo, Timothy Chatto & Windus Ltd London 1991 315-408
  2596. 38898 words from Structural methods in inorganic chemistry. Rankin, David W H Cradock, Stephen Ebsworth, E A V Blackwell Scientific Publications Oxford 1991
  2597. 41503 words from Techniques in sedimentology. Tucker, Maurice Blackwell Scientific Publications Oxford 1988 63-190
  2598. 8157 words from The sea skater. Dunmore, Helen Bloodaxe books ltd Newcastle upon Tyne 1986 12-72
  2599. 20258 words from Ghost stories: Oxford Bookworms edition. Border, Rosemary Oxford University Press Oxford 1989 1-86
  2600. 42955 words from A stranger's trust. Richmond, Emma Mills & Boon Richmond, Surrey 1991
  2601. 36858 words from T S Eliot: a friendship. Tomlin, Frederick Routledge & Kegan Paul plc London 1988 50-174
  2602. 45256 words from Thank you for having me. Lipman, Maureen Robson Books Ltd London 1990 57-188
  2603. 43122 words from A tupolev too far. Aldiss, Brian HarperCollins London 1993 35-159
  2604. 42462 words from Underground: the London alternative press. Fountain, Nigel Routledge & Kegan Paul plc London 1988 1-94
  2605. 41323 words from Unholy ghosts. Greenwood, D M Headline Book Publishing plc London 1991 1-142
  2606. 43401 words from The colour of magic. Pratchett, Terry Colin Smythe Ltd Gerrards Cross 1983 7-141
  2607. 41585 words from An unsuitable attachment. Pym, Barbara Pan Macmillan Publishers London 1993 13-154
  2608. 52413 words from Viking magic. Wells, Angela Mills & Boon Richmond, Surrey 1993
  2609. 47147 words from The waters of Eden. Neil, Joanna Mills & Boon Richmond, Surrey 1993
  2610. 52718 words from A warning of magic. Kingston, Kate Mills & Boon Richmond, Surrey 1993
  2611. 50277 words from Winter challenge. Mills & Boon Richmond, Surrey 1993
  2612. 11978 words from The Embalmer. British Institute of Embalmers Knebworth 1993-12
  2613. 192825 words from [Articles from Practical PC] Taylor, Jennifer HHL Publishing group London 1992-11 / 93-02
  2614. 18055 words from Women's Art Magazine. Townsend, S Women artists slide library London 1993
  2615. 69381 words from The Sunday People. Morgan, Kenneth O Oxford University Press Oxford 1990
  2616. 19047 words from The Sunday People. u.p. 1990
  2617. 42771 words from [Law Society Publicity] u.p.
  2618. 8457 words from BAIE News for communicators in business. Hardman Press Dorking 1993 May-June
  2619. 1631 words from Scotch whisky. u.p.
  2620. 1446 words from Don't take our British spirit for granted. u.p.
  2621. 1315 words from Scotch whisky. u.p.
  2622. 8372 words from Wood News. u.p.
  2623. 10039 words from Wood News. u.p.
  2624. 4043 words from John Wood Group Employee Report 1992. u.p.
  2625. 3372 words from The Gusher. u.p.
  2626. 10632 words from Atomic Energy Authority Times. The Atomic Energy Authority 1993-09
  2627. 2962 words from Atomic Energy Authority Culham and Harwell News. u.p.
  2628. 4065 words from Winfrith Journal. u.p.
  2629. 2525 words from Dounreay Newsletter. u.p.
  2630. 4248 words from Atomic Energy Authority News for the Process Industries. u.p.
  2631. 4537 words from Atomic Energy Authority Gazette. u.p.
  2632. 3578 words from The story of Atomic Energy Authority Technology from national mission to international. u.p.
  2633. 27782 words from BPXpress. British Petroleum plc
  2634. 24754 words from [General Accident miscellaneous documents -- Claims] General Accident
  2635. 27697 words from [General Accident miscellaneous documents] General Accident
  2636. 27722 words from [General Accident miscellaneous documents] General Accident
  2637. 15594 words from [General Accident miscellaneous documents] General Accident
  2638. 656 words from Wedgwood product range. u.p.
  2639. 1226 words from The history of Wedgwood. u.p.
  2640. 1993 words from [Wedgwood Group: environmental policy] u.p.
  2641. 126 words from [Wedgwood Group: miscellaneous documents: letter from Price Waterhouse] u.p.
  2642. 7964 words from [Waterford Wedgwood reports & accounts 1992] u.p.
  2643. 13278 words from Newsline for the Wedgwood Group. u.p.
  2644. 8755 words from Newsline for the Wedgwood Group. u.p.
  2645. 8199 words from Newsline for the Wedgwood Group. u.p.
  2646. 8326 words from [Rentokil publications] u.p.
  2647. 15784 words from Environmental Issues [company magazine]. Rentokil
  2648. 14549 words from Environmental Issues [company newsletter]. Rentokil
  2649. 21618 words from [Scottish Nuclear: miscellaneous documents] Scottish Nuclear Scotland
  2650. 45590 words from [Scotvec (Scottish Vocational Education Council) publications] u.p.
  2651. 24356 words from [Scotvec (Scottish Vocational Education Council) advanced courses] u.p.
  2652. 28364 words from [Educational certification: miscellaneous documents] u.p.
  2653. 12881 words from National Library of Scotland annual report 1990-1991. National Library of Scotland [1991] 3-29
  2654. 5953 words from National Library of Scotland. National library of Scotland Scotland 1993
  2655. 2435 words from Becoming an actuary. u.p.
  2656. 3281 words from UK actuarial profession 1992 annual review. u.p.
  2657. 2703 words from UK actuarial profession 1991 annual review. u.p.
  2658. 2109 words from Institute of Actuaries Education Service: Tutors' handbook 1990/91. u.p.
  2659. 1413 words from AES Tuition Noticeboard. u.p.
  2660. 203 words from Institute of Actuaries: Proceedings. u.p.
  2661. 4363 words from CA News. u.p.
  2662. 23199 words from CA News. u.p.
  2663. 23280 words from CA News. u.p.
  2664. 16493 words from Hospitality. Hotel Catering & Inst. Manag. London 1993
  2665. 18272 words from Hospitality. Hotel Catering & Inst. Manag. London 1993
  2666. 10877 words from Royal Institute of British Architects annual report and accounts. u.p.
  2667. 3296 words from Spotlights. u.p.
  2668. 2973 words from Spotlights. u.p.
  2669. 3591 words from Spotlights. u.p.
  2670. 1821 words from Spotlights. u.p.
  2671. 4364 words from Spotlights. u.p.
  2672. 3489 words from Spotlights. u.p.
  2673. 6807 words from Observations: an information exchange for teacher researchers. u.p.
  2674. 5432 words from Observations: an information exchange for teacher researchers. u.p.
  2675. 9411 words from SCRE Newsletter. u.p.
  2676. 5868 words from University of Stirling annual report 1991-1992. u.p.
  2677. 8724 words from Edit [alumni magazine]: Issue 1 January 1992. u.p.
  2678. 7270 words from Edit [alumni magazine] Issue 2. u.p. n.d. pp3-8
  2679. 7204 words from Edit [alumni magazine] Issue 3. u.p. n.d. 12-34
  2680. 14823 words from [Employment service] u.p.
  2681. 4153 words from The annual report and accounts of the Law Society May 1992-. u.p.
  2682. 4818 words from Welcome. Historic Scotland Edinburgh 1992/1993
  2683. 5697 words from Welcome. Historic Scotland Edinburgh 1992/1993
  2684. 5867 words from Welcome. Historic Scotland Edinburgh 1992/1993
  2685. 3438 words from Saddle Mews Residents' Association. Saddle Mews residents association
  2686. 8081 words from The Scottish Council: Development and industry. u.p.
  2687. 6870 words from IBOA Newssheet. u.p.
  2688. 6158 words from IBOA Newssheet. u.p.
  2689. 4469 words from IBOA Newssheet. u.p.
  2690. 7452 words from IBOA Newssheet. u.p.
  2691. 5607 words from IBOA Newssheet. u.p.
  2692. 12132 words from Minutes: Juniper Green Village Association. u.p.
  2693. 11729 words from Minutes: Juniper Green Village Association. u.p.
  2694. 55456 words from Lothian Regional Council. u.p.
  2695. 5237 words from [Personal letters] u.p.
  2696. 13177 words from [Personal letters] u.p.
  2697. 4988 words from [Academic essay on communications theory and linguistics] u.p. n.d. 3-16
  2698. 10860 words from [Creative writing by schoolgirls: prose and verse] u.p.
  2699. 30080 words from [Creative writing: prose] Robertson, Angela u.p. 1-89
  2700. 10263 words from [English Literature Papers] Robertson, Angela u.p.
  2701. 831 words from [Creative writing: verse] u.p.
  2702. 9417 words from [School essays] u.p.
  2703. 17544 words from [Children's writing] u.p.
  2704. 33990 words from [Creative writing: prose] u.p.
  2705. 7002 words from Confirmation meeting on the gift of the Holy Spirit: church meeting
    PS1RN
    45, Kay, notary
    PS1RP
    49, Jim, lay pastoral assistant
    HDDPSUNK
    Unknown speaker, other
    HDDPSUGP
    Group of unknown speakers, other
  2706. 5379 words from Suffolk Sound Archive oral history project: interview
    PS22A
    Joyce
    PS22B
    retired
  2707. 8030 words from Suffolk Sound Archive: interview
    PS22G
    unspecified
    PS22H
    87, Ivy, retired catering manageress
  2708. 6289 words from Suffolk Sound Archive: interview
    PS22J
    unspecified
    PS22K
    87, Ivy, retired catering manageress
  2709. 11745 words from Suffolk Sound Archive -- Ipswich Transport Project: interview
    PS22L
    unspecified
    PS22M
    71, Albert, retired transport administrator
  2710. 11632 words from Suffolk Sound Archive: interview
    PS22N
    unspecified
    PS22P
    retired
  2711. 8886 words from Trade Union Annual Congress: trade union congress
    PS2DU
    Dick, president of trade union
    PS2DV
    Jim, deputy lord mayor
    PS2DW
    John, general secretary of trade union
    PS2DX
    Steve, trade unionist
    PS2DY
    John, trade unionist
    PS2E0
    Hughie, trade unionist
    PS2E1
    Peggy, trade unionist
    PS2E2
    Eric, trade unionist
    PS2E3
    Giles, member of parliament
    HDNPSUNK
    Unknown speaker, other
    HDNPSUGP
    Group of unknown speakers, other
  2712. 8040 words from Trade Union Annual Congress: trade union congress
    PS2E4
    Dick, president of trade union
    PS2E5
    Ken, trade unionist
    PS2E6
    Mary, trade unionist
    PS2E7
    Ed, trade unionist
    PS2E8
    John, trade unionist
    PS2E9
    Bernie, trade unionist
    PS2EA
    Bill, trade unionist
    PS2EB
    Charlie, trade unionist
    PS2EC
    Dennis, trade unionist
    HDPPSUNK
    Unknown speaker, other
    HDPPSUGP
    Group of unknown speakers, other
  2713. 751 words from Trade Union Annual Congress: trade union congress
    PS2FS
    trade unionist
    HDSPSUNK
    Unknown speaker, other
    HDSPSUGP
    Group of unknown speakers, other
  2714. 13625 words from Trade Union Annual Congress: trade union congress
    PS2FT
    trade unionist
    PS2FU
    Alan, trade unionist
    PS2FV
    Donald, trade unionist
    PS2FW
    Dave, trade unionist
    PS2FX
    Les, trade unionist
    PS2FY
    Charlie, trade unionist
    PS2G0
    Steve, trade unionist
    PS2G1
    Sammy, trade unionist
    PS2G2
    Peter, trade unionist
    HDTPSUNK
    Unknown speaker, other
    HDTPSUGP
    Group of unknown speakers, other
  2715. 13161 words from Trade Union Annual Congress: trade union congress
    PS2JD
    trade unionist
    PS2JE
    John, trade unionist
    PS2JF
    Mel, trade unionist
    PS2JG
    Bill, trade unionist
    PS2JH
    Ron, trade unionist
    PS2JJ
    Mick, trade unionist
    PS2JK
    Denise, trade unionist
    HDUPS000
    unspecified
    HDUPS001
    unspecified
    HDUPSUNK
    Unknown speaker, other
    HDUPSUGP
    Group of unknown speakers, other
  2716. 8466 words from Longman Group UK Ltd Lotus 123 seminar
    PS2MP
    Graham, managing director
    HDVPSUNK
    Unknown speaker, other
    HDVPSUGP
    Group of unknown speakers, other
  2717. 6526 words from Longman Group UK Ltd Lotus 123 seminar
    PS2MR
    Graham, managing director
    HDWPSUNK
    Unknown speaker, other
    HDWPSUGP
    Group of unknown speakers, other
  2718. 5112 words from Longman Group UK Ltd Lotus 123 seminar
    PS2MS
    Graham, managing director
    HDXPSUNK
    Unknown speaker, other
    HDXPSUGP
    Group of unknown speakers, other
  2719. 8354 words from Careers guidance interview
    PS2MW
    50+, Martin, careers advisor
    PS2MX
    20+, Lente, student
  2720. 6226 words from King's College London: lecture
    PS2N0
    30+, Segal, lecturer
    HE0PSUNK
    Unknown speaker, other
    HE0PSUGP
    Group of unknown speakers, other
  2721. 7459 words from London School of Economics: lecture on the psychoanalytic study of society
    PS2R6
    45, lecturer
    HE1PSUNK
    Unknown speaker, other
    HE1PSUGP
    Group of unknown speakers, other
  2722. 7878 words from London School of Economics: lecture
    PS2R7
    45, lecturer
    HE2PSUNK
    Unknown speaker, other
    HE2PSUGP
    Group of unknown speakers, other
  2723. 5897 words from Panorama: the Branch Davidian sect: documentary
    PS2R8
    david koresh, religious leader, This is almost certainly David Koresh speaking, but
    PS2R9
    John, tv presenter
    PS2RA
    Janet, Davidian
    PS2RB
    Davidian
    PS2RC
    Livingstone, Davidian
    PS2RD
    Bonnie
    PS2RE
    unspecified
    PS2RF
    May well be an actor portraying a Davidian
    PS2RG
    May well be an actor portraying a Davidian
    HE3PSUNK
    Unknown speaker, other
    HE3PSUGP
    Group of unknown speakers, other
  2724. 4054 words from Assignment - the legacy of the Brazilian gold rush: documentary
    PS2S7
    40+, julian pettifer, tv presenter, Almost all his speech is scripted.
    PS2S8
    60+, Rubens, brazilian minister for the environment, First language is Brazilian Portuguese
    PS2S9
    scientist, First language is probably Brazilian Portuguese
    PS2SA
    Roberto, First language is Brazilian Portuguese
    HE4PSUNK
    Unknown speaker, other
    HE4PSUGP
    Group of unknown speakers, other
  2725. 4690 words from Public Eye - police cautioning: documentary
    PS2SC
    30+, tricia lawton, tv presenter, Most of her speech is scripted.
    PS2SD
    police officer?
    PS2SE
    police officer, Cautioning offender
    PS2SF
    Offender being cautioned
    PS2SG
    michael howard, cabinet minister (conservative)
    PS2SH
    unspecified
    PS2SJ
    Probably an offender. The transcriber described him as 'Thug'.
    PS2SK
    unspecified
    HE5PS000
    unspecified
    HE5PSUNK
    Unknown speaker, other
    HE5PSUGP
    Group of unknown speakers, other
  2726. 5940 words from The Money Programme: documentary
    PS2SL
    30+, tv presenter
    PS2SM
    40+, richard branson, entrepreneur
    PS2SN
    20+, Floya, virgin atlantic stewardess
    PS2SP
    30+, tessa curtis, tv presenter, Most of her speech is scripted. Report on Virgin
    PS2SR
    virgin atlantic employee, Announcong over PA.
    PS2SS
    40+, economics expert
    PS2ST
    20+, ticket desk receptionist
    PS2SU
    40+, john kay, airline specialist
    PS2SV
    30+, virgin atlantic stewardess trainer
    HE6PSUNK
    Unknown speaker, other
    HE6PSUGP
    Group of unknown speakers, other
  2727. 6240 words from Panorama: documentary
    PS2TW
    30+, christopher hird, tv presenter
    PS2TX
    30+, Robert, information hacker / private investigator
    PS2TY
    30+, bbc interviewer
    PS2U0
    50+, Rodney, trade union leader
    PS2U1
    50+, banking expert
    PS2U2
    40+, bank representative
    PS2U3
    40+, legal expert
    PS2U4
    20+, naomi march, actress
    PS2U5
    30+, lenny henry, comedian/actor
    HE7PSUNK
    Unknown speaker, other
    HE7PSUGP
    Group of unknown speakers, other
  2728. 5896 words from Orkney Sound Archive tape OSA 335: interview for oral history project
    PS2UP
    historian, Interviewer
    PS2UR
    80, Ned, retired farmer, Interviewee.
  2729. 6196 words from Orkney Sound Archive tape OSA 337: interview for oral history project
    PS2US
    20+, historian, Interviewer
    PS2UT
    75+, Davie, retired surveyor, Interviewee.
    PS2UU
    72, Walter, retired surveyor, Interviewee.
    HE9PSUNK
    Unknown speaker, other
    HE9PSUGP
    Group of unknown speakers, other
  2730. 3032 words from Orkney Sound Archive tape OSA 55: interview for oral history project
    PS2UV
    20+, Agnes, historian, Interviewer
    PS2UW
    50+, David, Interviewee
  2731. 2757 words from Orkney Sound Archive tape OSA/RO/A: interview
    PS2UX
    70+, Kitty, Interviewee
    PS2UY
    radio presenter, Interviewer
  2732. 2008 words from Orkney Sound Archive tape OSA/RO/A: interview
    PS2V0
    84, Isa, Interviewee
    PS2V1
    30+, radio presenter, Interviewer
  2733. 4825 words from Orkney Sound Archive tape OSA/RO/A: interview on `Sharing Time' show
    PS2V2
    radio presenter, Interviewer
    PS2V3
    30+, Erlend, oil rig worker, Interviewee
  2734. 1755 words from Orkney Sound Archive tape OSA/RO/B: interviews
    PS2V4
    Kieran, lifeboat winchman, Interviewee
    PS2V5
    radio presenter, Interviewer
    PS2V6
    Tony, lifeboat doctor, Interviewee
    PS2V7
    Jack, lifeboat coxswain, Interviewee
    PS2V8
    David, lifeboat mechanic, Interviewee
    PS2V9
    Billy, lifeboat crewmember, Interviewee
    PS2VA
    Angus, lifeboat crewmember, Interviewee
    PS2VB
    60+, Jackie, lifeboat secretary, Interviewee
    HEFPSUNK
    Unknown speaker, other
    HEFPSUGP
    Group of unknown speakers, other
  2735. 2583 words from Orkney Sound Archive tape OSA/RO/B: interview
    PS2VC
    50+, Marcus, Interviewee. Organizer of ploughing match.
    PS2VD
    radio presenter, Interviewer.
    PS2VE
    William, Interviewee
    PS2VF
    radio reporter, Interviewer
    PS2VG
    Jim, Interviewee
    HEGPSUNK
    Unknown speaker, other
    HEGPSUGP
    Group of unknown speakers, other
  2736. 3382 words from Orkney Sound Archive tape OSA/RO/B: interview
    PS2VH
    60+, Sandy, retired technician/inventor, Interviewee
    PS2VJ
    Mike, radio presenter, Interviewer
  2737. 690 words from Orkney Sound Archive tape OSA/RO/B: interview
    PS2VK
    40+, Jean, dairy farmer, Interviewee
    PS2VL
    radio presenter, Interviewer
  2738. 488 words from Orkney Sound Archive tape OSA/RO/B: reminiscences
    PS2VM
    70+, Edith, retired farmer
  2739. 4489 words from Gwynedd County Council tape 2: interview for oral history project
    PS2VN
    historian, Interviewer
    PS2VP
    84, retired district nurse, Interviewee
  2740. 10019 words from Gwynedd County Council tape 4: interview for oral history project
    PS2VR
    67, John, farmer, Interviewee
    PS2VS
    historian, Interviewer
  2741. 9316 words from Gwynedd County Council tape 5: interview for oral history project
    PS2VT
    historian, Interviewer
    PS2VU
    30+, Kenneth, unemployed, Interviewee
  2742. 16591 words from [Enterprise 2000: seminar]
    PS2VV
    87, Nellie, retired teacher
    PS2VW
    interviewer
    HEPPS000
    unspecified
    HEPPS001
    unspecified
    HEPPSUNK
    Unknown speaker, other
    HEPPSUGP
    Group of unknown speakers, other
  2743. 7917 words from Gwynedd County Council tape 11: interview for oral history project
    PS2VX
    79, retired forestry worker, Interviewee
    PS2VY
    historian, Interviewer
  2744. 7785 words from Gwynedd County Council tape 12: interview for oral history project
    PS2W0
    60+, evan john, mechanical engineer, Interviewee
    PS2W1
    historian, Interviewer
  2745. 7235 words from Gwynedd County Council tape 13: interview for oral history project
    PS2W2
    historian, Interviewer
    PS2W3
    76, Aled, entrepreneur, Interviewee
    HETPSUNK
    Unknown speaker, other
    HETPSUGP
    Group of unknown speakers, other
  2746. 8179 words from Gwynedd County Council tape 14: interview for oral history project
    PS2W4
    historian, Interviewer
    PS2W5
    93, richard (dick), retired seaman, Interviewee
  2747. 7805 words from Gwynedd County Council tape 15: interview for oral history project
    PS2W6
    historian, Interviewer
    PS2W7
    92, Harry, Interviewee
  2748. 4596 words from Racing: the Morning Line: television broadcast
    PS2W8
    40+, derek thompson, tv presenter, Main presenter of the programme
    PS2W9
    30+, lesley graham, tv presenter/commentator
    PS2WA
    50+, john oaksey, tv presenter/commentator
    PS2WB
    40+, alastair down, sports commentator
    HEWPSUNK
    Unknown speaker, other
    HEWPSUGP
    Group of unknown speakers, other
  2749. 414 words from Central News and Weather: television news broadcast
    PS2WC
    30+, newsreader
    PS2WD
    20+, tracy barden, weather forecaster
    HEXPSUNK
    Unknown speaker, other
    HEXPSUGP
    Group of unknown speakers, other
  2750. 938 words from The Central Match - Goals Extra: Sports report broadcast
    PS2WE
    40+, bob hall, tv presenter, Link man
    PS2WF
    30+, Phil, sports reporter
    PS2WG
    30+, Dennis, sports reporter
    PS2WH
    -82+, Keith, sports reporter
    PS2WJ
    40+, Tim, sports reporter
    PS2WK
    40+, sports reporter
  2751. 3571 words from Central Lobby: television broadcast
    PS2WL
    40+, judy laybourn, tv presenter
    PS2WM
    30+, andrew fox, reporter, Football security story.
    PS2WN
    40+, peter snape, member of parliament, Football security story.
    PS2WP
    30+, john williams, researcher, Football security story.
    PS2WR
    40+, bob jones, police chief superintendent, Football security story
    PS2WS
    50+, keith pearson, football club secretary, Football security story.
    PS2WT
    40+, richard faulkner, football trust representative, Football security story.
    PS2WU
    40+, undercover police officer, Football security story.
    PS2WV
    40+, police sergeant, Football security story.
    HF0PSUNK
    Unknown speaker, other
    HF0PSUGP
    Group of unknown speakers, other
  2752. 3140 words from Central News: television news broadcast
    PS2X4
    30+, mike morley, newsreader
    PS2X5
    50+, dave johnson, police detective superintendent, Story about murder of businessman
    PS2X6
    60+, pensioner, Story about Christmas lights
    PS2X7
    30+, marie ashby, newsreader
    PS2X8
    mike rowbottom, reporter, Story about attack on Asian family
    PS2X9
    30+, shopkeeper, Crime victim in story about attack on Asian family.
    PS2XA
    police officer, Story about attack on Asian family.
    PS2XB
    jane saggars, reporter, Story about murder of businessman.
    PS2XC
    john mitchell, reporter, Story about hit and run.
    HF1PSUNK
    Unknown speaker, other
    HF1PSUGP
    Group of unknown speakers, other
  2753. 7872 words from Gwynedd County Council tape 17: interview for oral history project
    PS2Y3
    65, Dafydd, miner, Interviewee. Treasurer of the Ffestiniog slate dispute.
    PS2Y4
    30+, historian, Interviewer
  2754. 9715 words from Gwynedd County Council tape 3: interview for oral history project
    PS2Y5
    74, retired shopkeeper, Interviewee
    PS2Y6
    historian, Interviewer
  2755. 57531 words from A healing fire. Wilson, Patricia Mills & Boon Richmond, Surrey 1993
  2756. 74842 words from An American princess. Marshall, Paula Mills & Boon Richmond, Surrey 1993
  2757. 39793 words from I believe in angels. Cooper, Fiona Serpent's Tail London 1993 1-128
  2758. 44626 words from A bloody field by Shrewsbury. Pargeter, Edith Headline Book Publishing plc London 1989 31-163
  2759. 7297 words from In search of English: a traveller's guide. Crystal, David u.p.
  2760. 40922 words from Darcy's Utopia. Weldon, Fay Flamingo London 1991
  2761. 57176 words from Dark sunlight. Wilson, Patricia Mills & Boon Richmond, Surrey 1993
  2762. 38925 words from Deliria. Hall, Albyn Leah Serpent's Tail London 1993 1-125
  2763. 47916 words from Driven by love. McCallum, Kristy Mills & Boon Richmond, Surrey 1993
  2764. 43619 words from The dyke & the dybbuk. Galford, Ellen Virago Press Ltd London 1993 98-245
  2765. 45072 words from Economics. Begg, David Fischer, Stanley Dornbusch, Rudiger McGraw-Hill Book Company Maidenhead 1991
  2766. 42620 words from Large vocabulary syntactic analysis for text recognition. Keenan, Frank [Unpublished PhD Thesis] 1993
  2767. 43372 words from Frankenstein unbound. Aldiss, Brian New English Library Sevenoaks 1991
  2768. 62742 words from Garden of desire. Martin, Laura Mills & Boon Richmond, Surrey 1993
  2769. 31271 words from The Laughter of Heroes. Neale, Johnathan Serpent's Tail London 1993 1-123
  2770. 72465 words from Hidden flame. Bailey, Elizabeth Mills & Boon Richmond, Surrey 1993
  2771. 37509 words from Home design. Gilliatt, Mary Little, Brown & Company London 1992 8-183
  2772. 26882 words from Microprocessor based measurement of plant growth. Lucas, Keith u.p.
  2773. 47064 words from Love of my heart. Richmond, Emma Mills & Boon Richmond, Surrey 1993
  2774. 40701 words from Lucker and Tiffany peel out. Mildmay, Eroica Serpent's Tail London 1993 57-181
  2775. 83604 words from My enemy, my love. Byrne, Julia Mills & Boon Richmond, Surrey 1993
  2776. 41636 words from Markets. Levacic, Rosalind Thompson Mitchell, Jeremy Frances, Jennifer Sage Publications Ltd London 1993 21-118
  2777. 242477 words from New Internationalist. u.p.
  2778. 39813 words from New latitudes: theory and English Renaissance literature. Healy, Thomas Hodder & Stoughton Ltd Sevenoaks, Kent 1992 7-124
  2779. 39929 words from The poisoned chalice. Clynes, Michael Headline Book Publishing plc London 1993 1-144
  2780. 42504 words from The Which? book of plumbing and central heating. Holloway, David Consumers' Association London 1992 8-95
  2781. 43491 words from Sale of goods and consumer credit. Dobson, A P Sweet & Maxwell Ltd London 1989 1-114
  2782. 46114 words from Tower of shadows. Craven, Sara Mills & Boon Richmond, Surrey 1993
  2783. 40763 words from Tortoise by candlelight. Bawden, Nina Virago Press Ltd London 1989
  2784. 48893 words from Only two can share. Murray, Annabel Mills & Boon Richmond, Surrey 1993
  2785. 57510 words from Wilder's wilderness. Macgregor, Miriam Mills & Boon Richmond, Surrey 1993
  2786. 38788 words from Wychwood. Thompson, E V Headline Book Publishing plc London 1992
  2787. 2546 words from Bishop's Castle Railway Society Journal. Lucas, Keith Bishop's castle railway society 1990
  2788. 4276 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2789. 5884 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2790. 4761 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2791. 4758 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2792. 4065 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2793. 4318 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2794. 4430 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2795. 6481 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2796. 6915 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2797. 4296 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2798. 5403 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2799. 6775 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2800. 6205 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2801. 4350 words from Bishop's Castle Railway Society Journal. et al Lucas, Keith Bishop's castle railway society 1990
  2802. 432434 words from [Hansard extracts 1991-1992] HMSO London 1992
  2803. 288910 words from [Hansard extracts 1991-1992] HMSO London 1992
  2804. 405609 words from [Hansard extracts 1991-1992] HMSO London 1992
  2805. 57494 words from Rapid -- ESRC grant abstracts. u.p.
  2806. 192552 words from Rapid -- ESRC grant abstracts. u.p.
  2807. 186715 words from Rapid -- ESRC grant abstracts. u.p.
  2808. 42027 words from Rapid -- ESRC grant abstracts. u.p.
  2809. 158918 words from The Belfast Telegraph. u.p.
  2810. 193302 words from The Belfast Telegraph. u.p.
  2811. 117152 words from KPMG MAS engagement manual. KPMG London 1993
  2812. 4987 words from The red triangle. External Relations Unit, Napier University
  2813. 32028 words from Journal of the Law Society of Scotland. Law Society's Hall Edinburgh 1975-04 115-150
  2814. 12480 words from [Collected letters of the Scottish Sports Council] u.p.
  2815. 30876 words from [Royal Botanic Garden Edinburgh: miscellaneous documents] u.p.
  2816. 49697 words from [Royal Botanic Garden Edinburgh: miscellaneous documents] Royal Botanic garden Edinburgh, Scotland 1985- date marked
  2817. 6192 words from [Edinburgh District Council: assorted press releases] u.p.
  2818. 27488 words from [Unpublished creative writing : prose] u.p. n.d. 1-75
  2819. 43560 words from [Unpublished creative writing] Wilson, Howard u.p.
  2820. 24193 words from Coarse Fisherman. Metrocrest Ltd UK 1989-10
  2821. 35009 words from Golf Monthly. Golf Monthly UK 1989-11
  2822. 44001 words from Her living image. Rogers, Jane Faber & Faber Ltd London 1990 55-171
  2823. 339 words from Looking for an outdoor activity? British Trust for Conservation
  2824. 257 words from Pampers and the environment (letter). u.p.
  2825. 544 words from [People's Trust for Endangered Species] u.p.
  2826. 16634 words from WWF News. World-wide fund for nature UK 1989
  2827. 1010 words from [Publisher's advertising brochure] Longman UK Ltd
  2828. 843 words from [Publisher's advertising brochure] A colour atlas of AIDS and HIV disease. Longman
  2829. 347 words from [Publisher's advertising brochure].A colour atlas of infectious diseases. u.p.
  2830. 145 words from [Publisher's advertising brochure]. Splendid isolation. u.p.
  2831. 756 words from Research Defence Society. u.p.
  2832. 282 words from RDS: Medical progress for man and animals. u.p.
  2833. 1381 words from Executive courses in business English. u.p.
  2834. 3723 words from Learn the language in the country. u.p.
  2835. 462 words from It's something you've always wanted to do…. u.p.
  2836. 736 words from Information sources on courses of higher education. u.p.
  2837. 552 words from Sources of information on post-graduate courses. u.p.
  2838. 3991 words from What's on -- The Play House. u.p.
  2839. 671 words from Free to you. u.p.
  2840. 780 words from The Simon Community: Christianity at work. u.p.
  2841. 293 words from Your parish church calendar 1992. u.p.
  2842. 640 words from Quality champagne specially selected for Tesco. Tesco stores ltd
  2843. 1882 words from [Tesco guide to low and no alcohol] Tesco stores ltd
  2844. 460 words from Croxteth Hall & Country Park 1989. u.p.
  2845. 782 words from [BCP -- the no.1 car park for Gatwick Airport] British Car Parks
  2846. 62 words from Freemans. Freemans
  2847. 447 words from Vevay -- Free this superb total colour make-up kit. Vevay
  2848. 217 words from Young additions. u.p.
  2849. 846 words from Harlow Sport Centre -- general information. u.p.
  2850. 545 words from Harlow Sport Centre -- squash. u.p.
  2851. 138 words from Bidwells -- Trustees of the Hinxton Estate. Bidwells
  2852. 107 words from Bidwells -- Land adjoining 22 High Street. Bidwells
  2853. 249 words from Bidwells -- The Hinxton Estate. Bidwells
  2854. 883 words from British Gypsum -- Gyproc cove fixing instructions. British Gypsum
  2855. 823 words from Rockwell -- The better alternative to the flat roof. u.p.
  2856. 165 words from [Letter offering old document] u.p.
  2857. 78163 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2858. 75586 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2859. 74492 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2860. 96647 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2861. 92180 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2862. 96979 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2863. 40804 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2864. 76476 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2865. 77061 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2866. 91863 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2867. 75631 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2868. 41832 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1990
  2869. 57586 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2870. 111190 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2871. 56096 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2872. 55961 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2873. 119972 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2874. 57850 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2875. 62976 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2876. 55973 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2877. 117824 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2878. 59368 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2879. 122364 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2880. 58494 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1991
  2881. 59107 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2882. 61084 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2883. 59999 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2884. 58593 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2885. 58036 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2886. 57840 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2887. 57493 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2888. 51066 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2889. 58032 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2890. 61125 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2891. 51574 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2892. 40046 words from Keesings Contemporary Archives. Longman Group UK Ltd Harlow 1992
  2893. 13002 words from Trade Union Annual Congress
    PS2F7
    Dick, president of trade union
    PS2F8
    Sheila, trade unionist
    PS2F9
    Kathy, trade unionist
    PS2FA
    Ethel, trade unionist
    PS2FB
    Kathy, trade unionist
    PS2FC
    Steve, trade unionist
    PS2FD
    John, trade unionist
    PS2FE
    Graham, trade unionist
    PS2FF
    Adrian, trade unionist
    HLUPSUNK
    Unknown speaker, other
    HLUPSUGP
    Group of unknown speakers, other
  2894. 11700 words from Trade Union Annual Congress
    PS2K5
    Dick, president of trade union
    PS2K6
    Bob, trade unionist
    PS2K7
    Bill, trade unionist
    PS2K8
    Avril, trade unionist
    PS2K9
    Mel, trade unionist
    PS2KA
    Cliff, trade unionist
    PS2KB
    John, trade unionist
    HLWPS000
    unspecified
    HLWPS001
    unspecified
    HLWPSUNK
    Unknown speaker, other
    HLWPSUGP
    Group of unknown speakers, other
  2895. 2423 words from Trade Union Annual Congress
    PS2KL
    Dick, president of trade union
    PS2KM
    Dave, trade unionist
    PS2KN
    Nick, trade unionist
    PS2KP
    Frank, trade unionist
    HLXPSUNK
    Unknown speaker, other
    HLXPSUGP
    Group of unknown speakers, other
  2896. 13908 words from Trade Union Annual Congress
    PS2KR
    Dick, president of trade union
    PS2KS
    Neil, trade unionist
    PS2KT
    Derek, trade unionist
    PS2KU
    Len, trade unionist
    PS2KV
    Owen, trade unionist
    PS2KW
    Les, trade unionist
    PS2KX
    Peter, trade unionist
    PS2KY
    Hywel, trade unionist
    HLYPS000
    unspecified
    HLYPSUNK
    Unknown speaker, other
    HLYPSUGP
    Group of unknown speakers, other
  2897. 13541 words from Camera club meeting
    PS2MT
    Jean
    PS2MU
    Mark
    PS2MV
    George
    HM2PSUNK
    Unknown speaker, other
    HM2PSUGP
    Group of unknown speakers, other
  2898. 12145 words from London Talkback Radio: radio broadcast
    PS2N3
    Douglas, radio presenter
    PS2N4
    Pam, sports presenter
    PS2N5
    Dave, radio presenter
    PS2N6
    Frances
    PS2N7
    Judy, astrologer
    PS2N8
    Humphrey
    PS2N9
    David
    PS2NA
    Bob
    PS2NB
    Madeline, writer
    HM4PSUNK
    Unknown speaker, other
    HM4PSUGP
    Group of unknown speakers, other
  2899. 6892 words from London Talkback Radio: radio broadcast
    PS2NL
    Douglas, radio presenter
    PS2NM
    Pam, sports presenter
    HM5PS000
    unspecified
    HM5PS001
    unspecified
    HM5PS002
    unspecified
    HM5PS003
    unspecified
    HM5PS004
    unspecified
    HM5PS005
    unspecified
    HM5PSUNK
    Unknown speaker, other
    HM5PSUGP
    Group of unknown speakers, other
  2900. 6326 words from Pearson: annual general meeting and extraordinary general meeting
    PS2P1
    Michael, director
    PS2P2
    David
    PS2P3
    Simon, director
    PS2P4
    John
    HM6PSUNK
    Unknown speaker, other
    HM6PSUGP
    Group of unknown speakers, other
  2901. 3750 words from Pearson interim results: meeting
    PS2P7
    Michael, director
    PS2P8
    Frank, managing director
    PS2P9
    James, finance director
  2902. 15752 words from BBC Radio Nottingham: radio broadcast
    PS329
    geoff owen, radio presenter
    PS32A
    alison ford, newsreader
    PS32B
    jonathan clays, reporter
    PS32C
    reporter
    PS32D
    14+, Pre-recorded phone call
    PS32E
    mick cox, police detective superintendent
    PS32F
    nigel bell, reporter
    PS32G
    Louise, radio presenter, Action Line presenter
    PS32H
    David, education and training development officer
    HMAPSUNK
    Unknown speaker, other
    HMAPSUGP
    Group of unknown speakers, other
  2903. 12637 words from BBC Radio Nottingham: radio broadcast
    PS365
    Geoff, radio presenter
    PS366
    Caller on 'Loot for Lunchtime' programme.
    PS367
    John, weather forecaster
    PS368
    10+, schoolchild, Giving clue for 'Kids' County' game.
    PS369
    10+, schoolchild, Giving clue for 'Kids' County' game.
    PS36A
    10+, schoolchild, Giving clue for 'Kids' County' game.
    PS36B
    10+, schoolchild, Giving clue for 'Kids' County' game.
    PS36C
    10+, schoolchild, Giving clue for 'Kids' COunty' game.
    PS36D
    Elizabeth, Kids' County game caller.
    HMDPSUNK
    Unknown speaker, other
    HMDPSUGP
    Group of unknown speakers, other
  2904. 4349 words from Public Eye: documentary
    PS39M
    30+, phil parry, tv presenter
    PS39N
    unspecified
    PS39P
    Miner's widow
    PS39R
    mines rescue worker
    PS39S
    unspecified
    PS39T
    Chris, retired mines inspector
    PS39U
    unspecified
    PS39V
    Len, miner
    PS39W
    mines inspector
    HMGPSUNK
    Unknown speaker, other
    HMGPSUGP
    Group of unknown speakers, other
  2905. 3610 words from The Money Programme - part 1: documentary
    PS3AF
    tv presenter, Voiceover at start of programme
    PS3AG
    investor in business
    PS3AH
    tv presenter
    PS3AJ
    actor
    PS3AK
    business manager
    PS3AL
    business expert
    PS3AM
    Ron, company director
    PS3AN
    business investor, Might be speaker
    HMHPS000
    unspecified
    HMHPSUNK
    Unknown speaker, other
    HMHPSUGP
    Group of unknown speakers, other
  2906. 1876 words from The Money Programme - part 2: documentary
    PS3AR
    tv presenter
    PS3AS
    Paul, lawyer
    PS3AT
    lawyer
    PS3AU
    Keith, departmental head, general motors
    PS3AV
    lawyer
    PS3AW
    i c i representative
    PS3AX
    lawyer
    PS3AY
    mercedes representative
    HMJPSUNK
    Unknown speaker, other
    HMJPSUGP
    Group of unknown speakers, other
  2907. 556 words from The Money Programme - part 3: documentary
    PS3B1
    tv presenter
    PS3B2
    unspecified
    PS3B3
    bell atlantic representative
    HMKPSUNK
    Unknown speaker, other
    HMKPSUGP
    Group of unknown speakers, other
  2908. 8912 words from Gwynedd County Council tape 16: interview for oral history project
    PS3B4
    72, Elizabeth, Interviewee
    PS3B5
    historian, Interviewer.
    HMLPSUNK
    Unknown speaker, other
    HMLPSUGP
    Group of unknown speakers, other
  2909. 7138 words from Gwynedd County Council tape 19: interview for oral history project
    PS3B6
    60+, Robert, retired miner
    PS3B7
    historian, Speaks with a stutter
    HMMPSUNK
    Unknown speaker, other
    HMMPSUGP
    Group of unknown speakers, other
  2910. 18641 words from The Central Match - Live: television sports broadcast
    PS3B8
    40+, tony francis, 'ton', tv presenter/sports commentator
    PS3B9
    gary newbon, tv presenter/sports commentator
    PS3BA
    50+, ron atkinson, football manager, sports commentator
    PS3BB
    50+, jimmy greaves, 'greavesey', tv presenter/sports commentator
    PS3BC
    alan parry, sports commentator
    PS3BD
    brian little, football manager
    PS3BE
    40+, frank clark, football manager
    PS3BF
    john helm, sports commentator
    PS3BG
    theo foley, sports commentator
    HMNPSUNK
    Unknown speaker, other
    HMNPSUGP
    Group of unknown speakers, other
  2911. 9039 words from Jonathan Cowap Morning Show: radio broadcast
    PS3BN
    jonathan cowap, radio presenter
    PS3BP
    Judy, Phone-in caller
    PS3BR
    radio presenter
    PS3BS
    mr mcmillan scott, euro member of parliament
    PS3BT
    john reynoldson, county planning officer
    PS3BU
    Peter, minerals planning consultant
    PS3BV
    jason cullen, radio presenter, A A Roadwatch report
    PS3BW
    Terry, Phone-in caller
    PS3BX
    Stewart, Phone-in caller
    HMPPSUNK
    Unknown speaker, other
    HMPPSUGP
    Group of unknown speakers, other
  2912. 39294 words from Finishing touch. Rowlands, Betty Hodder & Stoughton Ltd Sevenoaks, Kent 1991
  2913. 40618 words from The floating voter. Critchley, Julian Headline Book Publishing plc London 1993 1-150
  2914. 39416 words from Financial market analysis. Blake, David McGraw-Hill Book Company Maidenhead 1990
  2915. 38140 words from Financial investments. Griffiths, Howard McGraw-Hill Book Company Maidenhead 1990 82-202
  2916. 5828 words from Idols. Romer, Stephen Oxford University Press Oxford 1986 1-48
  2917. 5217 words from The incident book. Adcock, Fleur Oxford University Press Oxford 1993 18-53
  2918. 5262 words from The kiosk on the brink. McKendrick, Jamie Oxford University Press Oxford 1993 11-52
  2919. 5801 words from Pea soup. Reid, Christopher Oxford University Press Oxford 1983 9-62
  2920. 7391 words from Plato's ladder. Romer, Stephen Oxford University Press Oxford 1992 8-78
  2921. 43334 words from R&D management: managing projects & new products. Bergen, S A Basil Blackwell Ltd Oxford 1990 27-208
  2922. 39719 words from Studies in school self-evaluation. Nuttall, D L Clift, P S McCormick, R The Falmer Press Lewes, East Sussex 1987
  2923. 6369 words from The sirocco room. McKendrick, Jamie Oxford University Press Oxford 1991 1-49
  2924. 43979 words from The rich are with you always. Macdonald, Malcolm Coronet Books London 1978 187-304
  2925. 7735 words from Time-zones. Adcock, Fleur Oxford University Press Oxford 1991 1-46
  2926. 44570 words from War and social change: British society in the Second World War. Smith, Harold L Manchester University Press Manchester 1986 3-31
  2927. 26348 words from Industrial Law Journal. Davies, Paul Oxford University Press Oxford 1993-06
  2928. 33909 words from [Wimpey newsletter] Wimpey
  2929. 11163 words from [BP annual report] u.p.
  2930. 24919 words from [Scottish Amicable newsletter] Scottish Amicable
  2931. 12298 words from [Johnson Matthey Annual Report 1993] u.p.
  2932. 15238 words from Assay -- magazine of the Johnson Matthey Group. Reteif, France Godwin, Ian D u.p.
  2933. 3196 words from P&O Services. u.p.
  2934. 10250 words from BNFL News. British Nuclear Fuels plc Manchester 1992 March - May
  2935. 9788 words from BNFL News. British Nuclear Fuels plc Manchester 1992 March - May
  2936. 9025 words from BNFL News. British Nuclear Fuels plc Manchester 1992 March - May
  2937. 26297 words from Scotvec reports. u.p.
  2938. 3240 words from WISE: Women into Science & Engineering. u.p.
  2939. 14385 words from The Engineering Council Guidelines on Risk Issues. u.p.
  2940. 25888 words from [School essays on Literature] u.p.
  2941. 20892 words from [Christian Aid leaflets] u.p.
  2942. 4999 words from [GDA annual report] u.p.
  2943. 27511 words from [Parish Council letters] u.p.
  2944. 18774 words from [Lothian Council: unpublished documents] u.p.
  2945. 48344 words from Subjective risk and memory for driving situations [Unpublished PhD thesis] u.p.
  2946. 48911 words from The purpose and use of the research [Unpublished PhD thesis] u.p.
  2947. 42093 words from [Spokes: unpublished letters & articles] u.p.
  2948. 6983 words from [Unpublished short stories] u.p.
  2949. 9717 words from [Unpublished essays] u.p.
  2950. 43434 words from Charles the Bald. Nelson, Janet Longman Group UK Ltd Harlow 1992 1-131
  2951. 39810 words from Data collection in context. Ackroyd, Stephen Hughes, John A Longman Group UK Ltd Harlow 1992 13-107
  2952. 41015 words from Franco. Ellwood, Sheelagh Longman Group UK Ltd Harlow 1993 72-184
  2953. 44950 words from Innocent III: leader of Europe 1198-1216. Sayers, Jane Longman Group UK Ltd Harlow 1993 10-139
  2954. 44511 words from Managing education: the purpose and practice of good management in schools. Owen, Joslyn Longman Group UK Ltd Harlow 1992 57-153
  2955. 44151 words from The meaning of syntax: a study in the adjectives of English. Ferris, Connor Longman Group UK Ltd Harlow 1993 1-125
  2956. 44573 words from The vital century: England's developing economy 1714-1815. Rule, John Longman Group UK Ltd Harlow 1992 179-303
  2957. 44258 words from The architecture of Europe: vol. 2: Middle Ages, 650-1550. Yarwood, Doreen BT Batsford Ltd London 1992 1-161
  2958. 40789 words from Computer applications in geography. Mather, Paul M John Wiley & Sons Ltd Chichester 1991 100-224
  2959. 36460 words from The crocus list. Lyall, Gavin Coronet Books London 1993 95-207
  2960. 7072 words from The hunt by night. Mahon, Derek Oxford University Press Oxford 1986 9-63
  2961. 41265 words from Billion-dollar brain. Deighton, Len Arrow Books Ltd London 1991 67-219
  2962. 40583 words from East of Wimbledon. Williams, Nigel Faber & Faber Ltd London 1993 61-191
  2963. 41905 words from They came from SW19. Williams, Nigel Faber & Faber Ltd London 1992 119-250
  2964. 43450 words from Goshawk squadron. Robinson, Derek Fontana Press London 1993 60-194
  2965. 40249 words from The ruling passion of John Gould. Tree, Isabella Barrie & Jenkins London 1991
  2966. 39939 words from King hereafter. Dunnett, Dorothy Arrow Books Ltd London 1992 637-732
  2967. 43187 words from Multimedia in the 1990s. Feldman, Tony The British Library Board London 1991 1-167
  2968. 39590 words from Oil on troubled waters -- Gulf wars 1980-91. Creighton, John Echoes London 1992 5-117
  2969. 42841 words from Phantom. Hayward, Anthony George Weidenfeld & Nicolson Ltd London 1992 001-116
  2970. 42483 words from Polymers: the chemistry and physics of modern materials. Cowie, J M G Blackie academic & professional Glasgow 1991 157-303
  2971. 28199 words from R&D management: managing projects and new products. Bergen, S A Basil Blackwell Oxford 1990 1-114
  2972. 34825 words from Constitutional texts. Brazier, Rodney Oxford University Press Oxford 1990 1-90
  2973. 41557 words from Information systems development. Avison, D E Blackwell Scientific Publications Oxford 1992 41-181
  2974. 8504 words from The onion, memory. Raine, Craig Oxford University Press Oxford 1978 2-84
  2975. 42329 words from Urban sociology. Dickens, Peter Harvester & Wheatsheaf Hemel Hempstead 1990 28-152
  2976. 29914 words from Nature. Macmillan Magazines Ltd London 1993
  2977. 22660 words from Women's Art. Townsend, S Women artists slide library London 1992
  2978. 7833 words from Chartered Institute of Bankers Yearbook. The chartered institute of bankers London 1992/1919
  2979. 10310 words from [The Chartered Institute of Bankers: miscellaneous documents] The chartered institute of bankers London 1992/1919
  2980. 48107 words from [Link -- the house journal of the Pauls group] u.p.
  2981. 7376 words from Guinness Today. u.p.
  2982. 6981 words from Guinness Globe. u.p.
  2983. 4135 words from Dawson International plc: Notice of annual general meeting. u.p.
  2984. 5855 words from Dawson International plc: Annual report '93. u.p.
  2985. 11138 words from Glenpatrick News. u.p.
  2986. 10709 words from Glenpatrick News. u.p.
  2987. 11748 words from Glenpatrick News. u.p.
  2988. 11398 words from Glenpatrick News. u.p.
  2989. 12910 words from Glenpatrick News. u.p.
  2990. 2029 words from Glenpatrick News. u.p.
  2991. 7714 words from Special religious education division. u.p.
  2992. 5184 words from Annual report. HCIMA England, London 1991/1919
  2993. 3278 words from A guide to the new simplified divorce. u.p.
  2994. 14700 words from [Unpublished creative writing] u.p.
  2995. 12167 words from [Unpublished university notes] u.p.
  2996. 36432 words from [Unpublished university essays] u.p.
  2997. 41778 words from Chemistry in action. Freemantle, Michael Macmillan Education Ltd UK 1987 85-236
  2998. 26977 words from Engineering management: Financial control. Barnes, Martin Thomas Telford Ltd UK 1990 1-105
  2999. 39642 words from The Economist. The Economist Newspaper Ltd London 1989-04-08
  3000. 18250 words from Illustrated London News. Illustrated London News London 1989-04
  3001. 6520 words from [RSPB new members brochure] RSPB UK 1988
  3002. 23176 words from Sky. News International-Hachette UK April 1989
  3003. 11327 words from Small Gardens. EMAP National Publications UK 1989-09
  3004. 39426 words from Spare Rib. Spare Rib Ltd UK 1989-04
  3005. 4958 words from The Spectator. 10 January 1987
  3006. 4257 words from Plant biotechnology. Association of Agriculture
  3007. 337 words from Parasitology [publishers leaflet]. Cambridge University Press Cambridge
  3008. 833 words from Exciting new titles in parasitology from Chapman and Hall. Chapman & Hall London
  3009. 645 words from Man on the moon -- 20th anniversary special offer. u.p.
  3010. 2505 words from Olympus Scientific Products News. Olympus Scientific Products
  3011. 681 words from The Queen's awards for export and technology 1990. Department of Trade & Industry 1990
  3012. 529 words from Superfile -- database manager for mailing lists. Southdata Ltd.
  3013. 303 words from Alex -- advanced OCR. Southdata Ltd.
  3014. 2752 words from CompuAdd. The catalogue. CompuAdd
  3015. 247 words from Reading your meter. Eastern Electricity
  3016. 381 words from Cut your water heating costs by at least…⅓. Eastern Electricity
  3017. 409 words from Satisfy your desire for a living flame gas fire. British Gas Eastern
  3018. 601 words from Let E.T. safeguard your future. Eastern Electricity
  3019. 4824 words from Keep warm -- keep well. Department of health/Central office for information
  3020. 622 words from 1989 Hoechst farmer competition. Hoechst 1989
  3021. 2069 words from Tesco cares: a guide to the world around us. Tesco stores ltd
  3022. 677 words from CFCs and the ozone layer. Tesco stores ltd
  3023. 451 words from Phosphates and the water supply. Tesco stores ltd
  3024. 568 words from Paper and the environment. Tesco stores ltd
  3025. 845 words from Recycling and the environment. Tesco stores ltd
  3026. 11263 words from The Embalmer. British Institute of Embalmers Knebworth 1993-12
  3027. 51193 words from Edinburgh postgraduate prospectus 1994. Smith, David Grosvenor Press Portsmouth July 1993 1-138
  3028. 55851 words from Edinburgh undergraduate prospectus. Smith, David Grosvenor Press Portsmouth 1993 1-157
  3029. 41123 words from Bureaucracy and political power. Smith, B C Wheatsheaf Books Ltd Brighton 1988 40-175
  3030. 43061 words from Clubbed to death. Dudley Edwards, Ruth Victor Gollancz Ltd London 1993 40-158
  3031. 33073 words from Diggers. Pratchett, Terry Doubleday London 1990 28-153
  3032. 41226 words from A game of sudden death. Rutherford, Douglas Macmillan & Doubleday London 1990 234-461
  3033. 43716 words from A higher education. Silver, Harold The Falmer Press Basingstoke 1990 65-162
  3034. 40554 words from Angel hunt. Ripley, Mike Fontana Press London 1991 005-132
  3035. 37244 words from Lavondyss. Holdstock, Robert Grafton Books London 1990 329-448
  3036. 35729 words from A little lower than the angels. McCaughrean, Geraldine Oxford University Press Oxford 1987 13-133
  3037. 38726 words from Madness and modernity: a study in social psychoanalysis. Badcock, C R Basil Blackwell Ltd Oxford 1984 1-134
  3038. 42885 words from A masculine ending. Smith, Joan Faber & Faber Ltd London 1988 38-150
  3039. 41202 words from Other people's blood. Kippax, Frank Fontana Press London 1993 9-146
  3040. 42198 words from Ratking. Dibdin, Michael Faber & Faber Ltd London 1989 84-201
  3041. 42584 words from The suburban book of the dead. Rankin, Robert Corgi Books London 1993 103-264
  3042. 44715 words from Sociology of the global system. Sklair, Leslie Harvester & Wheatsheaf Hemel Hempstead 1991 001-126
  3043. 35065 words from The eagle has flown. Higgins, Jack Pan Books Ltd London 1991 1-170
  3044. 41792 words from The Mamur Zapt and the night of the dog. Pearce, Michael Fontana Press London 1991 60-197
  3045. 41032 words from The pit. Penswick, Neil Virgin London 1993 113-257
  3046. 39908 words from The white rose murder. Clynes, Michael Headline Book Publishing plc London 1992 73-209
  3047. 18846 words from The Embalmer. British Institute of Embalmers Knebworth 1993-12 3-35
  3048. 163461 words from Gut: Journal of Gastroenterology and Hepatology. Alan, R N British Medical Association London
  3049. 170995 words from Gut: Journal of Gastroenterology and Hepatology. Alan, R N British Medical Association London
  3050. 161319 words from Gut: Journal of Gastroenterology and Hepatology. Alan, R N British Medical Association London
  3051. 15048 words from [Annual report] The general council of the bar England 1992 1-25
  3052. 6603 words from Wood Group: Energy supporting energy. John Wood Group plc Aberdeen 1992 1-24
  3053. 7994 words from [Report and accounts] Guinness Group London 1992 1-25
  3054. 9030 words from [Medau Society literature] The Medau Society UK 1990/1919
  3055. 17895 words from Bishops' Conference of Scotland. u.p.
  3056. 12336 words from [Short stories] Potter, Alistair u.p.
  3057. 20542 words from [Schoolboys' essays] u.p.
  3058. 13024 words from Trade Union Annual Congress
    PS2GD
    Dick, president of trade union
    PS2GE
    Prue, trade unionist
    PS2GF
    Les, trade unionist
    PS2GG
    Dave, trade unionist
    PS2GH
    Duncan, trade unionist
    PS2GJ
    Dave, trade unionist
    PS2GK
    Alan, trade unionist
    PS2GL
    Peggy, trade unionist
    HUCPS000
    unspecified
    HUCPSUNK
    Unknown speaker, other
    HUCPSUGP
    Group of unknown speakers, other
  3059. 12902 words from Trade Union Annual Congress
    PS2H5
    Dick, president of trade union
    PS2H6
    John, trade unionist
    PS2H7
    Denise, trade unionist
    PS2H8
    Frank, trade unionist
    PS2H9
    John, general secretary of trade union
    PS2HA
    Robert, trade unionist
    PS2HB
    Alan, trade unionist
    PS2HC
    Barbara, trade unionist
    PS2HD
    Billy, trade unionist
    HUDPSUNK
    Unknown speaker, other
    HUDPSUGP
    Group of unknown speakers, other
  3060. 13515 words from Trade Union Annual Congress: trade union congress
    PS2LY
    Dick, president of trade union
    PS2M0
    Mick, trade unionist
    PS2M1
    Eric, trade unionist
    PS2M2
    Doug, trade unionist
    PS2M3
    John, trade unionist
    PS2M4
    Edna, trade unionist
    PS2M5
    Les, trade unionist
    HUEPS000
    unspecified
    HUEPS001
    unspecified
    HUEPSUNK
    Unknown speaker, other
    HUEPSUGP
    Group of unknown speakers, other
  3061. 7564 words from King's College London: political philosophy lecture
    PS2MY
    30+, Wolff, lecturer
    HUFPSUNK
    Unknown speaker, other
    HUFPSUGP
    Group of unknown speakers, other
  3062. 1466 words from Hatfield Airfield air traffic control
    PS2PA
    47, air traffic controller
    PS2PB
    46, air traffic controller
    PS2PC
    42, air traffic controller
    HUGPSUNK
    Unknown speaker, other
    HUGPSUGP
    Group of unknown speakers, other
  3063. 7784 words from London School of Economics: lecture
    PS2PD
    45, lecturer
    HUHPSUNK
    Unknown speaker, other
    HUHPSUGP
    Group of unknown speakers, other
  3064. 15929 words from London School of Economics: lecture
    PS2PE
    45, Chris, lecturer
    PS2PF
    Andrea, student
    PS2PG
    Mike, student
    PS2PH
    Kirsty, student
    PS2PJ
    mary-jane, student
    PS2PK
    John, student
    PS2PL
    Emma, student
    PS2PM
    anne-marie, student
    PS2PN
    Katherine, student
    HUJPSUNK
    Unknown speaker, other
    HUJPSUGP
    Group of unknown speakers, other
  3065. 14030 words from London School of Economics: lecture on the psychoanalytical study of society
    PS2PU
    45, Chris, lecturer
    PS2PV
    Joy, student
    PS2PW
    Tom, student
    PS2PX
    Dean, student
    PS2PY
    Heather, student
    PS2R0
    Duncan, student
    PS2R1
    Oliver, student
    PS2R2
    Sue, student
    HUKPSUNK
    Unknown speaker, other
    HUKPSUGP
    Group of unknown speakers, other
  3066. 13446 words from London School of Economics: lecture on the psychoanalytical study of society
    PS2R3
    45, Chris, lecturer
    HULPSUNK
    Unknown speaker, other
    HULPSUGP
    Group of unknown speakers, other
  3067. 15795 words from London School of Economics: lecture on the psychoanalytical study of society
    PS2R4
    45, Chris, lecturer
    HUMPSUNK
    Unknown speaker, other
    HUMPSUGP
    Group of unknown speakers, other
  3068. 16602 words from London School of Economics: lecture on the psychoanalytical study of society
    PS2R5
    45, Chris, lecturer
    HUNPSUNK
    Unknown speaker, other
    HUNPSUGP
    Group of unknown speakers, other
  3069. 9993 words from Pearson preliminary results: analysts meeting
    PS2Y7
    Michael
    PS2Y8
    David, chairman
    PS2Y9
    Frank, chief executive
    PS2YA
    James, finance director
    PS2YB
    Robert
    PS2YC
    Ken
    PS2YD
    Charles
    PS2YE
    Lorna
    PS2YF
    Stuart, chief executive officer
    HUPPSUNK
    Unknown speaker, other
    HUPPSUGP
    Group of unknown speakers, other
  3070. 14240 words from Christie's auction rooms: auction of mechanical music
    PS308
    auctioneer
    HURPSUNK
    Unknown speaker, other
    HURPSUGP
    Group of unknown speakers, other
  3071. 11734 words from Christie's auction rooms: auction of oriental ceramics and works of art
    PS309
    auctioneer
    HUSPSUNK
    Unknown speaker, other
    HUSPSUGP
    Group of unknown speakers, other
  3072. 7663 words from Pastoral parish council meeting
    HUTPS000
    unspecified
    HUTPSUNK
    Unknown speaker, other
    HUTPSUGP
    Group of unknown speakers, other
  3073. 6647 words from Trent Law School: lecture
    PS30A
    35, lecturer
    HUUPSUNK
    Unknown speaker, other
    HUUPSUGP
    Group of unknown speakers, other
  3074. 17821 words from James Whale Phone-in: radio broadcast
    PS3C8
    40+, james whale, radio presenter
    PS3C9
    Danny, radio technician
    PS3CA
    Douglas, Phone-in caller
    PS3CB
    60+, Sam, Phone-in caller
    PS3CC
    Melanie, civil servant, Phone-in caller
    PS3CD
    Alf, Phone-in caller
    PS3CE
    Danny, radio presenter, A A Roadwatch travel news
    PS3CF
    David, nspcc employee, Phone-in caller
    PS3CG
    Michael
    HUVPSUNK
    Unknown speaker, other
    HUVPSUGP
    Group of unknown speakers, other
  3075. 10384 words from On the Record: television broadcast
    PS3CM
    50+, john humphries, tv presenter
    PS3CN
    50+, john hume, member of parliament (sdlp leader)
    PS3CP
    british rail announcer
    PS3CR
    30+, michael gold, telvision reporter
    PS3CS
    50+, Protestor
    PS3CT
    40+, Protestor
    PS3CU
    30+, Protestor
    PS3CV
    50+, Protestor
    PS3CW
    20+, waiter
    HUWPSUNK
    Unknown speaker, other
    HUWPSUGP
    Group of unknown speakers, other
  3076. 8292 words from Gwynedd County Council tape 18: interview for oral history project
    HUXPS000
    unspecified
    HUXPS001
    unspecified
  3077. 8549 words from Gwynedd County Council tape 20: interview for oral history project
    PS3D9
    historian, Interviewer
    PS3DA
    28, David, quarry worker, Interviewee
  3078. 16755 words from James Whale Phone-in: radio broadcast
    PS3DB
    40+, james whale, radio presenter
    PS3DC
    30+, Alan, phone-in caller
    PS3DD
    Recorded voice of American spokesman
    PS3DE
    30+, Karen, radio studio technician
    PS3DF
    30+, danny savage, radio presenter, A A Roadwatch report
    PS3DG
    30+, Noel, n.u.t. press officer
    PS3DH
    30+, Rita, Phone-in caller
    PS3DJ
    20+, Rachael, guide for guided tour company
    PS3DK
    20+, radio studio technician
    HV0PSUNK
    Unknown speaker, other
    HV0PSUGP
    Group of unknown speakers, other
  3079. 5476 words from Central Weekend Live - part 1: television broadcast
    PS3E3
    30+, nicky campbell, tv presenter
    PS3E4
    40+, sue jay, tv presenter
    PS3E5
    30+, oliver james, consultant psychologist, Slight lisp on R
    PS3E6
    40+, dr vernon coleman, medical consultant
    PS3E7
    40+, dr cosmo hallstrom, medical consultant
    PS3E8
    40+, Donna, journalist
    PS3E9
    40+, dr simon fradd, general practitioner
    PS3EA
    30+, graeme wilson, representative of citizens' commission on human rights
    PS3EB
    40+, Peter
    HV1PSUNK
    Unknown speaker, other
    HV1PSUGP
    Group of unknown speakers, other
  3080. 5319 words from Central Weekend Live - part 2: television broadcast
    PS3EE
    30+, nicky campbell, tv presenter
    PS3EF
    50+, john taylor, member of parliament (ulster unionist) for strangford
    PS3EG
    40+, clare short, member of parliament (labour)
    PS3EH
    60+, tim pat, historian, ira expert
    PS3EJ
    40+, martin dillon, author, Author of The Dirty War, about the Irish conflict
    PS3EK
    50+, sir william ross, member of parliament for east londonderry
    PS3EL
    50+, Ray, ex-soldier
    PS3EM
    50+, Michael, lieutenant-colonel, counter-terrorism expert
    PS3EN
    40+, Mary, Representing the Troops Out movement
    HV2PSUNK
    Unknown speaker, other
    HV2PSUGP
    Group of unknown speakers, other
  3081. 3478 words from Central Weekend Live - part 3: television broadcast
    PS3EP
    40+, ed doolan, tv presenter
    PS3ER
    30+, Beth, animal rights defender
    PS3ES
    40+, Michael, representative of circus society
    PS3ET
    30+, Diane, representative of circus watch
    PS3EU
    30+, Gavin, circus trainer/performer
    PS3EV
    50+, Pat, representative of animal welfare alliance
    PS3EW
    40+, Dave, circus owner
    PS3EX
    50+, dr marthe, animal behaviourist, Slight lisp on R
    PS3EY
    40+, Rusty, clown
    HV3PSUNK
    Unknown speaker, other
    HV3PSUGP
    Group of unknown speakers, other
  3082. 862 words from Inaugural address of new president of National Association of Round Tables of Great Britain and Northern Ireland
    PS3F2
    dyfrig james, businessman
  3083. 3878 words from Orkney Sound Archive tape OSA/RO/D: radio broadcast
    PS3F3
    60+, Mary, Native of West Mainland
    PS3F4
    30+, radio presenter, Interviewer
  3084. 3833 words from Orkney Sound Archive tape OSA/RO/D: radio broadcast
    PS3F5
    mansie flaws, radio presenter, Interviewer
    PS3F6
    70+, retired ferryman, Native of Wyre, Orkney.
  3085. 1415 words from Orkney Sound Archive tape OSA/RO/C: radio broadcast
    PS3F7
    10+, school child
    PS3F8
    radio presenter, Interviewer
    PS3F9
    10+, school child
    PS3FA
    10+, school child
    PS3FB
    10+, school child
    PS3FC
    10+, Gary, school child
    PS3FD
    Dennis, postmaster
    PS3FE
    farmer
  3086. 778 words from Orkney Sound Archive tape OSA/RO/C: radio broadcast
    PS3FF
    school child
    PS3FG
    radio presenter, Interviewer
    PS3FH
    school child
    PS3FJ
    70+
    PS3FK
    70+
  3087. 2195 words from Orkney Sound Archive tape OSA/RO/C: radio broadcast
    PS3FL
    60+, David, Native of Hoy.
  3088. 932 words from Orkney Sound Archive tape OSA/RO/C: radio broadcast
    PS3FM
    30+, Fiona, local councillor, artist, Interviewee
    PS3FN
    liz davies, radio presenter, Interviewer
    PS3FP
    17+, student
    PS3FR
    17+, Jenny, student
    PS3FS
    17+, Lucy, student
    HVAPSUNK
    Unknown speaker, other
    HVAPSUGP
    Group of unknown speakers, other
  3089. 1652 words from Orkney Sound Archive tape OSA/RO/C: radio broadcast
    PS3FT
    radio presenter, Interviewer
    PS3FU
    Stewart, school child
    PS3FV
    school child
    PS3FW
    Carol, school child
    PS3FX
    Nathan, school child
    PS3FY
    Louise, school child
    PS3G0
    Nanette, school child
  3090. 6310 words from Central Weekend Live - part 1: television broadcast
    PS3G1
    30+, nicky campbell, tv presenter
    PS3G2
    40+, ed doolan, tv presenter
    PS3G3
    30+, Tony
    PS3G4
    20+, Alaina
    PS3G5
    50+, theresa gorman, member of parliament (conservative)
    PS3G6
    20+, Lindsey
    PS3G7
    20+, John
    PS3G8
    50+, sir ivan lawrence, member of parliament (conservative)
    PS3G9
    30+, Andrew
    HVCPSUNK
    Unknown speaker, other
    HVCPSUGP
    Group of unknown speakers, other
  3091. 5179 words from Central Weekend Live - part 2: television broadcast
    PS3GL
    30+, nicky campbell, tv presenter
    PS3GM
    50+, Ronnie, army brigadier
    PS3GN
    30+, Andrew, ex-soldier
    PS3GP
    20+, Richard, ex-soldier
    PS3GR
    50+, david lightbown, member of parliament (conservative)
    PS3GS
    30+, Tim, ex-soldier
    PS3GT
    40+, Paul, Slight lisp on S
    PS3GU
    30+, Alan, rsm in army training regiment
    PS3GV
    30+, ex-solder (awol)
    HVDPSUNK
    Unknown speaker, other
    HVDPSUGP
    Group of unknown speakers, other
  3092. 3594 words from Central Weekend Live - part 3: television broadcast
    PS3GX
    40+, sue jay, tv presenter
    PS3GY
    40+, Barbara, journalist, Australian?
    PS3H0
    50+, Tony
    PS3H1
    50+, Vince
    PS3H2
    60+, Lance
    PS3H3
    30+, Alan
    PS3H4
    40+, John
    PS3H5
    40+, Deniel, stylist
    PS3H6
    50+, Joshua, stylist
    HVEPSUNK
    Unknown speaker, other
    HVEPSUGP
    Group of unknown speakers, other
  3093. 22076 words from EIP meeting at Strensall Village Hall, day 1, morning session: public county council meeting
    PS3HD
    50+, eric barnett, department of the environment adjudicator, Chairing the meeting.
    PS3HE
    40+, mr p davies, legal representative, Representing North Yorkshire County Council
    PS3HF
    50+, stuart cowley, legal representative, Representing North Yorkshire County Council
    PS3HG
    40+, r whittaker, senior inspector
    PS3HH
    35+, roy donson, legal representative, Representing House Builders Federation
    PS3HJ
    50+, m rees, department of the environment representative
    PS3HK
    30+, malcolm spittle, north yorkshire county council representative
    PS3HL
    40+, steven grigson, legal representative, Representing Barton Wilmore
    PS3HM
    30+, mrs long, north yorkshire county council representative
    HVFPSUNK
    Unknown speaker, other
    HVFPSUGP
    Group of unknown speakers, other
  3094. 15725 words from EIP meeting at Strensall Village Hall, day 1, afternoon session: public county council meeting
    PS3J0
    50+, eric barnett, department of the environment adjudicator, Chairperson
    PS3J1
    50+, margaret rees, department of the environment representative
    PS3J2
    40+, r whittaker, senior inspector
    PS3J3
    30+, dave girt, leeds city council representative
    PS3J4
    50+, w caulfield (bill), bradford district council representative
    PS3J5
    35+, roy donson, house builders' federation representative
    PS3J6
    40+, stephen grigson, solicitor
    PS3J7
    30+, j cunnane, solicitor, Representing Sam Smith's Tadcaster Brewery
    PS3J8
    40+, p sedgewick, solicitor
    HVGPSUNK
    Unknown speaker, other
    HVGPSUGP
    Group of unknown speakers, other
  3095. 24821 words from EIP meeting at Strensall Village Hall, day 4 session: public county council meeting
    PS3JH
    50+, eric barnett, department of the environment adjudicator, Chairing the meeting.
    PS3JJ
    40+, mr p davies, legal representative, Representing North Yorkshire County Council
    PS3JK
    40+, d whittaker, senior inspector
    PS3JL
    35+, roy donson, house builders' federation representative
    PS3JM
    30+, r thomas, solicitor
    PS3JN
    mr wincup, department of the environment representative
    PS3JP
    m courcier, solicitor
    PS3JR
    mr brighton
    PS3JS
    mr brooke
    HVHPSUNK
    Unknown speaker, other
    HVHPSUGP
    Group of unknown speakers, other
  3096. 23241 words from EIP meeting at Strensall Village Hall, day 3, morning session: public county council planning meeting
    PS3L3
    50+, mr e barnett, department of the environment adjudicator, Chairing the enquiry
    PS3L4
    40+, mr peter davis, north yorkshire county council legal representative
    PS3L5
    40+, miss d whittaker, senior inspector
    PS3L6
    30+, mr david curtis, york city council legal representative
    PS3L7
    25+, mr ian smith, ryedale district council legal representative
    PS3L8
    40+, mr steven grigson, solicitor, from Barton Willmore
    PS3L9
    30+, mr malcolm spittle, north yorkshire county council legal representative
    PS3LA
    30+, mrs long, north yorkshire county council legal representative
    PS3LB
    35+, mr roy donson, house builders' federation representative
    HVJPSUNK
    Unknown speaker, other
    HVJPSUGP
    Group of unknown speakers, other
  3097. 24107 words from EIP meeting at Strensall Village Hall, day 3, afternoon session: public county council planning meeting
    PS3LK
    50+, mr e barnett, department of the environment adjudicator
    PS3LL
    40+, miss d whitaker, senior inspector
    PS3LM
    35+, mr roy donson, house builders' federation representative
    PS3LN
    mr paul brighton, solicitor, for Barton Willmore
    PS3LP
    mr christopher timothy, solicitor, for Wood-Frampton
    PS3LR
    mr clive brook, solicitor, for Clive Brook Associates
    PS3LS
    mr anthony (tony) sexton, solicitor, for Connell.
    PS3LT
    30+, mr michael jewitt, hambledon district council legal representative
    PS3LU
    30+, mr girt, leeds city council representative
    HVKPSUNK
    Unknown speaker, other
    HVKPSUGP
    Group of unknown speakers, other
  3098. 42729 words from Just another angel. Ripley, Mike Fontana Paperbacks London 1989 64-218
  3099. 28691 words from Accounting in a business context. Jarvis, Robin Berry, Aidan Chapman & Hall London 1992 1-113
  3100. 42165 words from The butcher's bill. Kippax, Frank Fontana Press London 1992 120-233
  3101. 42139 words from Architecture of Europe: vol. 1: The ancient classical and Byzantine world, 3000 BC-AD 1453. Yarwood, Doreen BT Batsford Ltd London 1992 39-157
  3102. 40413 words from The wasp factory. Banks, Iain Abacus London 1990 7-126
  3103. 43053 words from Family history and local history in England. Hey, David Longman Group UK Ltd Harlow 1987 46-183
  3104. 30399 words from The house of women. Cookson, Catherine Corgi Books London 1993 181-320
  3105. 211748 words from Lifespan computer manuals. Corporate u.p.
  3106. 38779 words from The transformation of medieval England. Thomson, J A F Longman New York 1992 009-082
  3107. 44551 words from Public finance and public choice. Jones, Philip Cullis, John McGraw-Hill Book Company Maidenhead 1992
  3108. 38852 words from Richard III. Pollard, A J Alan Sutton Publishing Ltd Gloucester 1991 27-132
  3109. 41509 words from Angel touch. Ripley, Mike Fontana Press London 1991 81-203
  3110. 43403 words from The jewel that was ours. Dexter, Colin Pan Books Ltd London 1992 89-254
  3111. 38211 words from The book of ultimate truths. Rankin, Robert Doubleday London 1993 13-142
  3112. 40782 words from Wycliffe and the Windsor Blue. Burley, W J Corgi Books London 1989 7-152
  3113. 164249 words from Gut: Journal of Gastroenterology and Hepatology. Alan, R N British Medical Association London
  3114. 58211 words from Gut: Journal of Gastroenterology and Hepatology. Alan, R N British Medical Association London
  3115. 47261 words from The Lancet. The Lancet Ltd London 1993
  3116. 44333 words from The Lancet. The Lancet Ltd London 1993-06/19
  3117. 44934 words from The Lancet. The Lancet Ltd London 1993
  3118. 44487 words from Sounds. Spotlight Publications London 1990-11-10
  3119. 7894 words from [Prospectus] Henley Management College England 1993 1-23
  3120. 16344 words from Scotvec update. Scotvec Glasgow 1992/1919
  3121. 13624 words from Scotvec report. u.p. n.d. 1-45
  3122. 12147 words from [Reference book] HCIMA England, London 1992/1919
  3123. 18129 words from Hotel, Catering & Institutional Management Association. u.p.
  3124. 31644 words from Hotel, Catering & Institutional Management Association. u.p.
  3125. 7927 words from [Annual report] Napier Enterprise Centre Scotland, Edinburgh 1993 2-21
  3126. 945 words from Christian Aid. Christian Aid Edinburgh, Scotland
  3127. 4888 words from [Christian Aid: administrative documents]. Christian Aid Edinburgh, Scotland 1986/1919
  3128. 39849 words from [Medau Society leaflets] The Medau Society UK 1980/1919
  3129. 39558 words from [Unpublished academic thesis] Wilson, Howard u.p.
  3130. 6860 words from [Articles by a management consultant] u.p.
  3131. 37134 words from [Solicitors' information packs] u.p.
  3132. 45196 words from Albion's people: English society, 1714-1815. Rule, John Longman Group UK Ltd Harlow 1992 105-225
  3133. 44481 words from Introduction to computer law. Bainbridge, David I Longman Group UK Ltd Harlow 1993 24-121
  3134. 45521 words from Criminal law. Jefferson, Michael Longman Group UK Ltd Harlow 1992
  3135. 44754 words from The effective teaching of history. Brooks, Ron Longman Group UK Ltd Harlow 1993 1-156
  3136. 43588 words from The English infinitive. Duffley, Patrick J Longman Group UK Ltd Harlow 1992 11-149
  3137. 44848 words from How to write essays, dissertations & theses in literary studies. Fabb, Nigel Durant, Alan Longman Group UK Ltd Harlow 1993 9-140
  3138. 6216 words from European economic integration: The Customs Union. Penketh, KeithMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 1-15
  3139. 8755 words from European economic integration: The single European market. McDonald, FrankMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 16-38
  3140. 5686 words from European economic integration: European Monetary Union: the case for complete monetary integration. Zis, GeorgeMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 39-49
  3141. 4347 words from European economic integration: The budget of the European Community. Penketh, KeithMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 50-58
  3142. 11358 words from European economic integration: Competition policy. Kemp, JohnMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 59-80
  3143. 7170 words from European economic integration: Social policy. Dearden, StephenMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 82-98
  3144. 8907 words from European economic integration: Regional Policy. Tomkins, JudithTwomey, JimMcDonald, FrankDearden, StephenLongman Group UK Ltd Harlow 1992 100-115
  3145. 43264 words from The fabliau in English. Hines, John Longman Group UK Ltd Harlow 1993 1-139
  3146. 41239 words from A future for the NHS? Ranade, Wendy Longman Group UK Ltd Harlow 1994 1-118
  3147. 43300 words from De Gaulle. Shennan, Andrew Longman Group UK Ltd Harlow 1993 16-139
  3148. 42677 words from Law of tort. Cooke, John Longman Group UK Ltd Harlow 1993 72-173
  3149. 45324 words from Land law. Lim, Hilary Longman Group UK Ltd Harlow 1992 24-121
  3150. 45276 words from Cnut: the Danes in England in the early eleventh century. Lawson, M K Longman Group UK Ltd Harlow 1993 9-150
  3151. 45701 words from London Jamaican. Sebba, Mark Longman Group UK Ltd Harlow 1993 1-137
  3152. 45340 words from The Merovingian kingdoms 450-751. Wood, Ian Longman Group UK Ltd Harlow 1994 5-113
  3153. 9678 words from Markets and dealers. Harrington, Richard Longman Group UK Ltd Harlow 1992 61-81
  3154. 12866 words from Markets and dealers. Leslie, James Longman Group UK Ltd Harlow 1992 85-109
  3155. 10891 words from Markets and dealers. Davis, Phil Longman Group UK Ltd Harlow 1992 111-134
  3156. 9652 words from Markets and dealers. Temperton, Paul Longman Group UK Ltd Harlow 1992 138-161
  3157. 45259 words from The rise of modern diplomacy 1450-1919. Anderson, M S Longman Group UK Ltd Harlow 1993 41-148
  3158. 45267 words from English medieval mystics: games of faith. Glasscoe, Marion Longman Group UK Ltd Harlow 1993 1-159
  3159. 42595 words from Russia in the age of reaction and reform 1801-1881. Saunders, David Longman Group UK Ltd Harlow 1994 173-272
  3160. 44921 words from The special relationship: a political history of Anglo-American relations since 1945. Bartlett, C J Longman Group UK Ltd Harlow 1992 1-124
  3161. 45664 words from Politics under the later Stuarts: party conflict in a divided society, 1660-1715. Harris, Tim Longman Group UK Ltd Harlow 1993 117-239
  3162. 38021 words from The teaching of drama in the primary school. Woolland, Brian Longman Group UK Ltd Harlow 1993 34-138
  3163. 45161 words from The effective teaching of religious education. Watson, Brenda Longman Group UK Ltd Harlow 1993 1-125
  3164. 12160 words from Suffolk Sound Archive oral history project: interview
    PS228
    Joyce
    PS229
    Jack, retired head lad
    HYCPSUNK
    Unknown speaker, other
    HYCPSUGP
    Group of unknown speakers, other
  3165. 8967 words from King's College London: philosophy discussion class
    PS2N2
    30, Brennan, lecturer
    HYDPSUNK
    Unknown speaker, other
    HYDPSUGP
    Group of unknown speakers, other
  3166. 12022 words from Pearson preliminary results: presentation and press and analysts' questions
    PS2YH
    Michael, chief executive officer
    PS2YJ
    Frank, chairman
    PS2YK
    James
    PS2YL
    Mark, reporter
    PS2YM
    Jason, reporter
    PS2YN
    Richard, reporter
    PS2YP
    Raymond, reporter
    PS2YR
    William, reporter
    PS2YS
    Roger, reporter
    HYEPSUNK
    Unknown speaker, other
    HYEPSUGP
    Group of unknown speakers, other
  3167. 6363 words from Pearson analyst presentation: analysts' meeting
    PS302
    Michael
    PS303
    Frank, chief executive
    PS304
    James, financial director
    PS305
    David
    PS306
    Mark
    PS307
    Mark
    HYFPS000
    unspecified
    HYFPSUNK
    Unknown speaker, other
    HYFPSUGP
    Group of unknown speakers, other
  3168. 3506 words from Trent Law School: tutorial
    PS30B
    35, John, lecturer
    HYHPSUNK
    Unknown speaker, other
    HYHPSUGP
    Group of unknown speakers, other
  3169. 15675 words from Town council grants meeting
    PS3C0
    40+, Graham, farmer and developer
    PS3C1
    40+, Paul, homeopath
    PS3C2
    40+, accountant
    PS3C3
    80+, farmer
    PS3C4
    60+, farmer
    PS3C5
    50+, Trevor, builder
    HYJPSUNK
    Unknown speaker, other
    HYJPSUGP
    Group of unknown speakers, other
  3170. 7771 words from Town council planning meeting
    PS3CH
    40+, Graham, farmer and developer
    PS3CJ
    80+, farmer
    PS3CK
    40+, builder
    HYKPSUNK
    Unknown speaker, other
    HYKPSUGP
    Group of unknown speakers, other
  3171. 4929 words from Nottingham University Economics Department: tutorial
    PS3K6
    30, Lloyd, lecturer
    PS3K7
    Matthew, student
    HYLPSUNK
    Unknown speaker, other
    HYLPSUGP
    Group of unknown speakers, other
  3172. 4473 words from Nottingham University Economics Department: agricultural economics lecture
    PS3K8
    30, Chris, lecturer
    HYMPSUNK
    Unknown speaker, other
    HYMPSUGP
    Group of unknown speakers, other
  3173. 5226 words from Nottingham University Economics Department: agricultural economics tutorial
    PS3K9
    30, Tim, lecturer
    HYNPS000
    unspecified
    HYNPSUNK
    Unknown speaker, other
    HYNPSUGP
    Group of unknown speakers, other
  3174. 6129 words from Nottingham University Economics Department: tutorial
    PS3KA
    30, Lloyd, lecturer
    PS3KB
    Nadine, student
    PS3KC
    Lyn, student
    PS3KD
    student
    PS3KE
    student
    HYPPSUNK
    Unknown speaker, other
    HYPPSUGP
    Group of unknown speakers, other
  3175. 4510 words from Nottingham University Economics Department: lecture
    PS3KF
    lecturer
    HYRPSUNK
    Unknown speaker, other
    HYRPSUGP
    Group of unknown speakers, other
  3176. 6182 words from Nottingham University Economics Department: tutorial
    PS3KG
    30, Tim, lecturer
    HYSPS000
    unspecified
    HYSPSUNK
    Unknown speaker, other
    HYSPSUGP
    Group of unknown speakers, other
  3177. 5783 words from Nottingham University Economics Department: lecture
    PS3KH
    lecturer
    HYTPS000
    unspecified
    HYTPSUNK
    Unknown speaker, other
    HYTPSUGP
    Group of unknown speakers, other
  3178. 10621 words from Commercial Union training session
    PS3KJ
    Dawn, trainer
    PS3KK
    trainer
    PS3KL
    Elaine, insurance company employee
    PS3KM
    John, insurance company employee
    HYUPSUNK
    Unknown speaker, other
    HYUPSUGP
    Group of unknown speakers, other
  3179. 9922 words from Commercial Union training session
    PS3KN
    Martin, trainer
    PS3KP
    trainer
    PS3KR
    Andy, insurance company employee
    PS3KS
    Margaret, insurance company employee
    PS3KT
    Mark, insurance company employee
    PS3KU
    John, insurance company employee
    PS3KV
    Marie, insurance company employee
    PS3KW
    Nora, insurance company employee
    PS3KX
    Irene, insurance company employee
    HYVPSUNK
    Unknown speaker, other
    HYVPSUGP
    Group of unknown speakers, other
  3180. 3249 words from Commercial Union training session
    PS3KY
    trainer
    HYWPSUNK
    Unknown speaker, other
    HYWPSUGP
    Group of unknown speakers, other
  3181. 20043 words from Shropshire County Council: committee meeting
    PS3L0
    Jerry, councillor
    HYXPSUNK
    Unknown speaker, other
    HYXPSUGP
    Group of unknown speakers, other
  3182. 6807 words from British Association of Industrial Editors - Edinburgh Internal Communications Group: informal meeting
    PS3L1
    32, Peter, ex bp public affairs
    PS3L2
    47, bnc worker
    HYYPSUNK
    Unknown speaker, other
    HYYPSUGP
    Group of unknown speakers, other
  3183. 41650 words from The age of capital 1848-1875. Hobsbawm, E J Abacus London 1977 203-316
  3184. 4914 words from Arcadia. Reid, Christopher Oxford University Press Oxford 1979 1-50
  3185. 44758 words from Global geomorphology: an introduction to the study of landforms. Summerfield, Michael A Longman Scientific & Technical Harlow 1991 32-150
  3186. 41171 words from Involuntary unemployment. Trevithick, J A Harvester & Wheatsheaf Hemel Hempstead 1992 92-205
  3187. 77281 words from Electronic information resources and the historian. Ross, Seamus Higgs, Edward u.p.
  3188. 43664 words from Kenneth Williams: a biography. Freeland, Michael George Weidenfeld & Nicolson Ltd London 1990
  3189. 7286 words from Letters in the dark. Lomas, Herbert Oxford University Press Oxford 1986 8-66
  3190. 4075 words from A Martian sends a postcard home. Raine, Craig Oxford University Press Oxford 1979 1-46
  3191. 42229 words from The Mamur Zapt and the girl in the Nile. Pearce, Michael Fontana Press London 1992 5-150
  3192. 28985 words from Children's party cakes. Clark, Maxine Farrow, Joanna Man, Kathy Macdonald & Company (Publrs) Ltd London 1992 6-114
  3193. 40070 words from Physical fluid dynamics. Tritton, D J Oxford University Press Oxford 1988 278-430
  3194. 41398 words from Payback. James, Russell Victor Gollancz Ltd London 1993
  3195. 40574 words from Preventing mental illness. Newton, Jennifer Routledge & Kegan Paul plc London 1988
  3196. 38985 words from Economics. u.p. n.d. 641-732
  3197. 38200 words from Town and country planning in Britain. Cullingworth, J B Routledge & Kegan Paul plc London 1988 111-208
  3198. 43434 words from A landing on the sun. Frayn, Michael Penguin Books London 1992 1-130
  3199. 44922 words from Tropical rainforest ecology. Mabberley, D J Blackie & Son Ltd London 1992 133-241
  3200. 41340 words from Voices of summer. Pearson, Diane Corgi Books London 1993 133-298
  3201. 44237 words from Early Music. Oxford University Press Oxford 1993
  3202. 26130 words from FlyPast. Key Publishing Stamford, Lincs 1992
  3203. 39824 words from [Leeds United e-mail list] u.p.
  3204. 7326 words from [Leeds United e-mail list] u.p.
  3205. 27765 words from [Leeds United e-mail list] u.p.
  3206. 27641 words from [Leeds United e-mail list] u.p.
  3207. 42585 words from [Leeds United e-mail list] u.p.
  3208. 46273 words from [Leeds United e-mail list] u.p.
  3209. 18828 words from [Leeds United e-mail list] u.p.
  3210. 22370 words from Women's Art. Townsend, S Women artists slide library London 1991
  3211. 8137 words from Speeches by Tony Hall. Hall, Tony u.p.
  3212. 34276 words from Scottish TV -- news scripts. u.p.
  3213. 2686 words from Scottish TV -- sports news scripts. u.p.
  3214. 9936 words from The cost of default. The Law Society Great Britain 1992-10 1-38
  3215. 5157 words from The Scottish Council for Development and Industry annual report. u.p. n.d. 1-24
  3216. 5015 words from The Scottish Council for Development and Industry annual report. The Scottish council for development & industry Scotland 1990/1919 1-24
  3217. 3530 words from Press News. Renault London 1993
  3218. 4687 words from Press News. Renault London 1993 1-22
  3219. 4982 words from The economic significance of scotch whisky. The Scotch whisky association Scotland, Edinburgh 1992 1-16
  3220. 3282 words from Scotch and tax. The Scotch whisky association Scotland, Edinburgh 1992 1-13
  3221. 7247 words from Wavelength. P & O London 1993
  3222. 8737 words from Wavelength. P & O London 1993
  3223. 2306 words from Guinness plc. u.p.
  3224. 2735 words from United Distillers. u.p.
  3225. 1605 words from Guinness brewing worldwide. u.p.
  3226. 3878 words from Alcohol & society: some questions and answers. u.p.
  3227. 4845 words from Guinness brewing worldwide. u.p.
  3228. 6851 words from Guinness. u.p.
  3229. 4568 words from [Prospectus] The Henley Research Centre Henley 1-13
  3230. 14669 words from Short courses in religious and moral education. u.p.
  3231. 3280 words from Reporter. National Museums of Scotland Edinburgh 1993 1-8
  3232. 3651 words from Reporter. National Museums of Scotland Edinburgh 1993 1-8
  3233. 7795 words from Regulations for programmes of the HCIMA professional qualifications. HCIMA England, London 1990 1-33
  3234. 25013 words from Report & supplement. Somerville College Oxford 1990 7-105
  3235. 9179 words from University of Oxford. u.p.
  3236. 7396 words from Research on animals in Oxford. u.p.
  3237. 4285 words from Will we ever learn. u.p.
  3238. 7206 words from [Unpublished short stories] Benn, June u.p.
  3239. 10482 words from Hombre. Leonard, Elmore Chivers Press UK 1989 1-45
  3240. 6721 words from Chaos [2/2] Firth, W J Manchester University Press Manchester 1987 135-155
  3241. 6869 words from Chaos [1/2] Sparrow, C Manchester University Press Manchester 1987 111-131
  3242. 35643 words from Pragmatics. Levinson, Stephen C Cambridge University Press Cambridge 1987 15-111
  3243. 36748 words from Romano-British mosaics. Cookson, Neil Andrew British Archaeological Reports UK 1984 3-84
  3244. 12454 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3245. 11869 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3246. 15291 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3247. 12222 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3248. 13800 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3249. 12618 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3250. 13642 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3251. 14217 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3252. 13330 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3253. 17881 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3254. 11751 words from The Environment Digest September 1991. Wright, Martin Environmental Publications Ltd 1991
  3255. 12516 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3256. 13192 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3257. 13304 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3258. 12925 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3259. 13564 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3260. 13580 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3261. 17762 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3262. 13631 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3263. 11681 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3264. 12126 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3265. 13582 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3266. 13819 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3267. 13542 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3268. 11790 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3269. 13816 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3270. 13197 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3271. 14063 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3272. 16903 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3273. 11485 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3274. 10168 words from The Environment Digest. Wright, Martin Environment Publishers Ltd
  3275. 5899 words from Garrick Society annual general meeting
    PS3M7
    Keith, bbc employee
    PS3M8
    24, Tracy
    PS3M9
    David
    PS3MA
    Graham
    PS3MB
    Joyce
    PS3MC
    Pam
    PS3MD
    Linda
    PS3ME
    Bert
    PS3MF
    Kenneth
    J3MPSUNK
    Unknown speaker, other
    J3MPSUGP
    Group of unknown speakers, other
  3276. 6224 words from St Helens Aquarist Society annual general meeting
    PS3MG
    50+, Bert, draughtsman
    PS3MH
    21+, housewife
    PS3MJ
    21+, Emily, housewife
    PS3MK
    35, Robert, factory worker
    PS3ML
    Bill, retired
    J3NPSUNK
    Unknown speaker, other
    J3NPSUGP
    Group of unknown speakers, other
  3277. 21597 words from Shropshire County Council Social Services Committee: committee meeting
    PS3MM
    chairman
    PS3MN
    unspecified
    PS3MP
    Mike
    PS3MR
    Malcolm
    PS3MS
    unspecified
    PS3MT
    Tom
    PS3MU
    unspecified
    PS3MV
    George
    J3PPS000
    unspecified
    J3PPSUNK
    Unknown speaker, other
    J3PPSUGP
    Group of unknown speakers, other
  3278. 13140 words from Shropshire County Council Social Services Committee: committee meeting
    PS3N6
    chairman
    PS3N7
    Mike
    PS3N8
    Mike
    PS3N9
    unspecified
    J3RPS000
    unspecified
    J3RPS001
    unspecified
    J3RPS002
    unspecified
    J3RPSUNK
    Unknown speaker, other
    J3RPSUGP
    Group of unknown speakers, other
  3279. 10166 words from Shropshire County Council Public Protection Committee: committee meeting
    PS3NG
    chairman
    PS3NH
    Jennifer
    PS3NJ
    unspecified
    PS3NK
    Dave
    PS3NL
    unspecified
    PS3NM
    unspecified
    PS3NN
    major
    PS3NP
    George, chief fire officer
    PS3NR
    colonel
    J3SPSUNK
    Unknown speaker, other
    J3SPSUGP
    Group of unknown speakers, other
  3280. 10442 words from Shropshire County Council Public Protection Committee: committee meeting
    PS3NS
    chairman
    PS3NT
    Jennifer
    PS3NU
    Dave
    PS3NV
    George, chief fire officer
    PS3NW
    colonel
    J3TPS000
    unspecified
    J3TPSUNK
    Unknown speaker, other
    J3TPSUGP
    Group of unknown speakers, other
  3281. 7694 words from Friends Provident Insurance training session
    PS3P0
    sales person
    PS3P1
    sales person
    PS3P2
    Robert, salesman
    PS3P3
    Gareth, salesman
    PS3P4
    Bill, instructor
    PS3P5
    Gill, instructor
    PS3P6
    Roger
    PS3P7
    Danny
    J3UPSUNK
    Unknown speaker, other
    J3UPSUGP
    Group of unknown speakers, other
  3282. 5889 words from Friends Provident Insurance training session
    PS3P8
    sales person
    PS3P9
    sales person
    PS3PA
    salesman
    PS3PB
    salesman
    J3VPSUNK
    Unknown speaker, other
    J3VPSUGP
    Group of unknown speakers, other
  3283. 10494 words from Royal Yachting Association annual general meeting
    PS3PC
    Rod, racing coach
    PS3PD
    Peter, chairman
    PS3PE
    John
    PS3PF
    Chris
    PS3PG
    unspecified
    PS3PH
    Frank
    PS3PJ
    Richard
    PS3PK
    Bob
    J3WPSUNK
    Unknown speaker, other
    J3WPSUGP
    Group of unknown speakers, other
  3284. 7298 words from Royal Yachting Association instruction video: sailing
    PS3PN
    unspecified
    PS3PP
    unspecified
    PS3PR
    unspecified
    PS3PS
    unspecified
    PS3PT
    unspecified
    PS3PU
    unspecified
    PS3PV
    Suzanne
    PS3PW
    unspecified
    PS3PX
    John, national sailing coach
    J3XPSUNK
    Unknown speaker, other
    J3XPSUGP
    Group of unknown speakers, other
  3285. 6618 words from Gardeners' Question Time: radio programme
    PS3R1
    Stefan, radio presenter and gardening expert
    PS3R2
    radio presenter
    PS3R3
    Fred, gardening expert
    PS3R4
    Daphne, gardening expert
    PS3R5
    Walter, gardening expert
    PS3R6
    Frank, gardening expert
    J3YPSUNK
    Unknown speaker, other
    J3YPSUGP
    Group of unknown speakers, other
  3286. 6636 words from British Association of Industrial Editors - Edinburgh Internal Communications Group: informal meeting
    PS3R7
    32, Peter, ex bp public affairs
    PS3R8
    47, Anne, bnc worker
    PS3R9
    52, Susan, scottish office executive
    PS3RA
    38, Tukuse, japanese teacher
    J40PSUNK
    Unknown speaker, other
    J40PSUGP
    Group of unknown speakers, other
  3287. 12908 words from West Sussex Council: Strategic Planning Committee
    PS3RB
    unspecified
    PS3RC
    Harold
    PS3RD
    Chris
    PS3RE
    Alan
    PS3RF
    unspecified
    PS3RG
    unspecified
    PS3RH
    unspecified
    PS3RJ
    unspecified
    PS3RK
    Jim
    J41PSUNK
    Unknown speaker, other
    J41PSUGP
    Group of unknown speakers, other
  3288. 6606 words from West Sussex Council: Strategic Planning Committee meeting
    PS3RR
    unspecified
    PS3RS
    Neil
    PS3RT
    Harold
    PS3RU
    unspecified
    PS3RV
    Cliff
    PS3RW
    unspecified
    PS3RX
    unspecified
    PS3RY
    unspecified
    J42PSUNK
    Unknown speaker, other
    J42PSUGP
    Group of unknown speakers, other
  3289. 9666 words from West Sussex Council: Highways Committee meeting
    PS3S0
    unspecified
    J44PSUNK
    Unknown speaker, other
    J44PSUGP
    Group of unknown speakers, other
  3290. 3586 words from West Sussex Council: Highways Committee meeting
    PS3S1
    unspecified
    J45PSUNK
    Unknown speaker, other
    J45PSUGP
    Group of unknown speakers, other
  3291. 45257 words from The blind watchmaker. Dawkins, Richard Longman UK 1986 1-109
  3292. 30232 words from Design and society: proceedings of ... an international conference on design policy. Langdon, Richard Cross, Nigel The Design Council UK 1984 51-105
  3293. 35014 words from The divided house. Raymond, Mary F A Thorpe (Publishing) Ltd UK 1985 1-236
  3294. 15608 words from Peter Grimes: Gloriana. Britten, Benjamin John Calder Ltd UK 1983 7-69
  3295. 42324 words from Hamish: the memoirs of Group Captain T.G. Mahaddie DSO ... Mahaddie, Gp Capt T G Ian Allan Ltd London 1989 11-88
  3296. 36452 words from The British polity. Norton, Philip Longman New York 1984 3-101
  3297. 494 words from [Letter concerning control of industrial major accident hazards] u.p.
  3298. 670 words from Against all odds. Greenpeace
  3299. 1027 words from Ecover bio-degradable household cleaning products. Ecover
  3300. 535 words from Why Bob Geldof thinks you should read the New Internationalist. New Internationalist
  3301. 456 words from World peace…. Greenpeace
  3302. 567 words from 1992: aren't you sick of it? Communist party
  3303. 318 words from Thank God someone's making waves. Greenpeace
  3304. 607 words from Do you want to walk in safety in the countryside? u.p.
  3305. 698 words from Your Communist Euro candidate. Communist party
  3306. 390 words from Facing the future. Communist party
  3307. 140 words from The more the Government does, the less you're free to do.. National front
  3308. 257 words from [Fund-raising tandem trek sponsor form] BDAFSA
  3309. 483 words from The London whale walk. Greenpeace
  3310. 434 words from ANC catalogue. African National Congress
  3311. 823 words from [Correspondence concerning property purchase] u.p.
  3312. 39888 words from The acquisition of business assets. Myers, Jonathan Longman Group UK Ltd Harlow 1993 1-99
  3313. 43293 words from Solicitors' partnerships: the law in practice. Bonney, Charles Longman Group UK Ltd Harlow 1992 1-116
  3314. 40712 words from Drafting business leases. Lewison, Kim Longman Group UK Ltd Harlow 1993 1-110
  3315. 42936 words from Management buy-outs. Cooke, Darryl J Longman Group UK Ltd Harlow 1993 1-115
  3316. 39912 words from Drafting commercial agreements. Christou, Richard Longman Group UK Ltd Harlow 1993 1-86
  3317. 43074 words from County court practice handbook. Blackford, Robert Longman Group UK Ltd Harlow 1992 18-143
  3318. 21893 words from Damages for personal injury and death: Pre-trial considerations. Mantle, PeterKemp, DavidLongman Group UK Ltd Harlow 1993 1-51
  3319. 6950 words from Damages for personal injury and death: Damages on deathSaunt, ThomasKemp, DavidLongman Group UK Ltd Harlow 1993 52-68
  3320. 12820 words from Damages for personal injury and death: Damages for non-pecuniary lossKemp, DavidKemp, DavidLongman Group UK Ltd Harlow 1993 69-100
  3321. 45437 words from Dispute resolution: expert determination. Kendall, John Longman Group UK Ltd Harlow 1992 1-140
  3322. 6962 words from Futures trading law and regulation. Bonham, John Longman Group UK Ltd Harlow 1993 1-20
  3323. 9117 words from Futures trading law and regulation. Abrams, Charles Longman Group UK Ltd Harlow 1993 21-44
  3324. 9669 words from Futures trading law and regulation. Innes, Ros Longman Group UK Ltd Harlow 1993 45-68
  3325. 9734 words from Futures trading law and regulation. Frase, A R G Longman Group UK Ltd Harlow 1993 73-96
  3326. 3951 words from Futures trading law and regulation. Ottino, Peter Longman Group UK Ltd Harlow 1993 104-114
  3327. 30618 words from Know-how for personal injury lawyers. Walker, Ian Longman Group UK Ltd Harlow 1993 5-122
  3328. 42433 words from Child protection law. Feldman, Linda Longman Group UK Ltd Harlow 1992 1-129
  3329. 41491 words from Commercial leases: tenants' amendments. Sweet, Robert Longman Group UK Ltd Harlow 1993 1-127
  3330. 43219 words from Media law. Robertson, Geoffrey Longman Group UK Ltd Harlow 1990 1-91
  3331. 41984 words from Moeran's practical conveyancing. Coates, R M Longman Group UK Ltd Harlow 1991 1-119
  3332. 44869 words from Non-resident trusts. Soares, Patrick C Longman Group UK Ltd Harlow 1993 1-104
  3333. 43871 words from Restraint of trade and business secrets: law and practice. Mehigan, Simon Longman Group UK Ltd Harlow 1991 1-92
  3334. 43753 words from Drafting standard terms of trading. Bradgate, Robert Longman Group UK Ltd Harlow 1991 1-97
  3335. 44201 words from Sale and supply of goods. Davies, Iwan Longman Group UK Ltd Harlow 1990 1-90
  3336. 45408 words from Takeovers. Stedman, Graham Longman Group UK Ltd Harlow 1993
  3337. 7899 words from Language and Literature Volume 1 No.2 1992. Stockwell, Peter Longman Group UK Ltd Harlow 1992 79-98
  3338. 4955 words from Language and Literature Volume 1 No.2 1992. Green, Keith Longman Group UK Ltd Harlow 1992
  3339. 1906 words from Language and Literature Volume 1 No.2 1992. Semino, Elena Longman Group UK Ltd Harlow 1992 135-140
  3340. 1290 words from Language and Literature Volume 1 No. 2 1992. Culpeper, Jonathan Longman Group UK Ltd Harlow 1992 141-143
  3341. 1584 words from Language and Literature Volume 1 No.2 1992. Bex, Tony Longman Group UK Ltd Harlow 1992 143-145
  3342. 1191 words from Language and Literature Volume 1 No.2 1992. Bellard-Thomson, Carol Longman Group UK Ltd Harlow 1992 146-147
  3343. 1530 words from Language and Literature Volume 1 No.2 1992. Semino, Elena Longman Group UK Ltd Harlow 1992 147-150
  3344. 6802 words from Language and Literature Volume 2 No.1. Nash, Walter Longman Group UK Ltd Harlow 1993 19-34
  3345. 5144 words from Language and Literature Volume 2 No.1 1993. Black, Elizabeth Longman Group UK Ltd Harlow 1993 37-47
  3346. 2544 words from Language and Literature Volume 2 No.1 1993. Barney, Tom Longman Group UK Ltd Harlow 1993 49-59
  3347. 1465 words from Language and Literature Volume 2 No.1 1993. Tzanne, Angeliki Longman Group UK Ltd Harlow 1993 63-67
  3348. 1422 words from Language and Literature Volume 2 No. 1 1993. Butler, Lance St John Longman Group UK Ltd Harlow 1993 70-72
  3349. 742 words from Language and Literature Volume 2 No.1 1993. McRae, John Longman Group UK Ltd Harlow 1993 75-76
  3350. 8777 words from Language and Literature Volume 2 No.2 1993. Bennison, Neil Longman Group UK Ltd Harlow 1993 79-98
  3351. 7268 words from Language and Literature Volume 2 No.2 1993. Blakemore, Diane Longman Group UK Ltd Harlow 1993 101-119
  3352. 2950 words from Language and Literature Volume 2 No.2 1993. Downes, William Longman Group UK Ltd Harlow 1993 121-128
  3353. 1202 words from Language and Literature Volume 2 No.2 1993. Wales, Katie Longman Group UK Ltd Harlow 1993 137-138
  3354. 565 words from Language and Literature Volume 2 No.2 1993. Green, Keith Longman Group UK Ltd Harlow 1993 138-139
  3355. 1534 words from Language and Literature Volume 2 No.2 1993. Cunico, Sonia Longman Group UK Ltd Harlow 1993 141-143
  3356. 1086 words from Language and Literature Volume 2 No.2 1993. Semino, Elena Longman Group UK Ltd Harlow 1993 146-148
  3357. 1323 words from Language and Literature Volume 2 No.2 1993. McCully, Chris Longman Group UK Ltd Harlow 1993 148-150
  3358. 1461 words from Language and Literature Volume 2 No.2 1993. Clark, Billy Longman Group UK Ltd Harlow 1993 151-153
  3359. 5032 words from Language and Literature Volume 2 No.3 1993. Currie, Mark Longman Group UK Ltd Harlow 1993 183-195
  3360. 962 words from Language and Literature Volume 2 No.3 1993. Soyland, John Longman Group UK Ltd Harlow 1993 225-227
  3361. 2301 words from Language and Literature Volume 2 No.3 1993. Wales, Katie Longman Group UK Ltd Harlow 1993 227-231
  3362. 6614 words from Language and Literature Volume 1 No.1 1992. Simpson, Paul Longman Group UK Ltd Harlow 1993 47-65
  3363. 13754 words from Audio Description Action Group: meeting
    PS3S2
    30+, Robert, arts officer
    PS3S3
    30+, Brian, theatre manager
    PS3S4
    50+, Iris, audio services
    PS3S5
    30+, Jane, social worker
    PS3S6
    40+, Cathy, social worker
    J8BPSUNK
    Unknown speaker, other
    J8BPSUGP
    Group of unknown speakers, other
  3364. 20655 words from Teachers' conference: discussing tutorial programme
    PS3S7
    40+, Rod
    J8DPS000
    unspecified
    J8DPS001
    unspecified
    J8DPS002
    unspecified
    J8DPS003
    unspecified
    J8DPS004
    unspecified
    J8DPSUNK
    Unknown speaker, other
    J8DPSUGP
    Group of unknown speakers, other
  3365. 6767 words from Harlow Record Office - recollections of Harlow: interview
    PS1MU
    unspecified
    PS1MV
    74, retired
    J8FPSUNK
    Unknown speaker, other
    J8FPSUGP
    Group of unknown speakers, other
  3366. 11926 words from Life in Harlow: interview by Harlow Study Centre
    PS1N3
    unspecified
    PS1N4
    electrical retailer
    PS1N5
    unspecified
    J8GPSUNK
    Unknown speaker, other
    J8GPSUGP
    Group of unknown speakers, other
  3367. 4989 words from Drugs: television discussion
    J8JPS000
    unspecified
    J8JPS001
    unspecified
    J8JPS002
    unspecified
    J8JPS003
    unspecified
    J8JPS004
    unspecified
    J8JPS005
    unspecified
    J8JPS006
    unspecified
    J8JPS007
    unspecified
    J8JPS008
    unspecified
    J8JPSUNK
    Unknown speaker, other
    J8JPSUGP
    Group of unknown speakers, other
  3368. 6611 words from Bioenergetics: lecture
    PS3SE
    40+, lecturer
    J8KPSUNK
    Unknown speaker, other
    J8KPSUGP
    Group of unknown speakers, other
  3369. 2669 words from Albert Gunter: sermon
    PS1RE
    Albert, minister
    J8MPSUNK
    Unknown speaker, other
    J8MPSUGP
    Group of unknown speakers, other
  3370. 6722 words from Albert Gunter: sermon
    PS1RY
    albert gunter, minister
    J8YPSUNK
    Unknown speaker, other
    J8YPSUGP
    Group of unknown speakers, other
  3371. 5436 words from Albert Gunter: sermon
    PS1S0
    albert gunter, minister
    J90PSUNK
    Unknown speaker, other
    J90PSUGP
    Group of unknown speakers, other
  3372. 12214 words from Maths tutorial
    PS3SR
    50, John, tutor
    PS3SS
    16, Ruben, student
    J91PSUNK
    Unknown speaker, other
    J91PSUGP
    Group of unknown speakers, other
  3373. 7458 words from University of York Student Union Entertainments Committee meeting
    PS3ST
    Thomas, student
    PS3SU
    Andy, student
    PS3SV
    Dave, student
    PS3SW
    23, Pete, student
    PS3SX
    student
    PS3SY
    John, student
    PS3T0
    19, Becky, student
    PS3T1
    19, Chris, student
    PS3T2
    student
    J92PSUNK
    Unknown speaker, other
    J92PSUGP
    Group of unknown speakers, other
  3374. 5027 words from Nottingham University, Economics Dept
    PS3TJ
    lecturer
    PS3TK
    Adrian, student
    PS3TL
    Helen, student
    J94PSUNK
    Unknown speaker, other
    J94PSUGP
    Group of unknown speakers, other
  3375. 4354 words from Nottingham University, Economics Dept
    PS3TN
    lecturer
    J95PSUNK
    Unknown speaker, other
    J95PSUGP
    Group of unknown speakers, other
  3376. 10965 words from British Market Research Bureau monthly meeting
    PS3U2
    John, managing director
    PS3U3
    Stella, director
    PS3U4
    John, departmental chairman
    PS3U5
    Richard, administrator
    PS3U6
    Alan, director
    PS3U7
    Rita, director
    PS3UA
    Caroline, consultant
    J97PSUNK
    Unknown speaker, other
    J97PSUGP
    Group of unknown speakers, other
  3377. 424 words from Herts County Council: committee meeting
    PS3UD
    unspecified
    J98PS000
    unspecified
    J98PS001
    unspecified
    J98PSUNK
    Unknown speaker, other
    J98PSUGP
    Group of unknown speakers, other
  3378. 400 words from Herts County Council: committee meeting
    PS3UE
    unspecified
    J99PS000
    unspecified
    J99PS001
    unspecified
    J99PS002
    unspecified
    J99PSUNK
    Unknown speaker, other
    J99PSUGP
    Group of unknown speakers, other
  3379. 12720 words from Bushey Writing Group: poetry and prose writing
    PS3UF
    Fred
    PS3UG
    Janet
    PS3UH
    Kath
    PS3UJ
    Peter
    PS3UK
    Ann
    PS3UL
    Cybil
    J9APSUNK
    Unknown speaker, other
    J9APSUGP
    Group of unknown speakers, other
  3380. 14830 words from Lincolnshire County Council: board meeting
    PS3UM
    Graham, chairman, All participants are work colleagues.
    PS3UN
    Paul
    PS3UP
    Weller, councillor
    PS3UR
    Morbey, councillor
    PS3US
    Wyle, councillor
    PS3UW
    Taylor, councillor
    J9BPSUNK
    Unknown speaker, other
    J9BPSUGP
    Group of unknown speakers, other
  3381. 3967 words from Lincolnshire County Council: board meeting
    PS3UY
    Graham, chairman, All participants are work colleagues.
    PS3V1
    Weller, councillor
    PS3V3
    Wyle, councillor
    PS3V5
    Noel
    PS3V7
    Taylor, councillor
    J9CPSUNK
    Unknown speaker, other
    J9CPSUGP
    Group of unknown speakers, other
  3382. 15056 words from Lincolnshire: Board meeting
    PS3V9
    chairman, All participants are work colleagues.
    PS3VA
    Graham
    PS3VB
    Burrel, councillor
    PS3VC
    Michael
    PS3VD
    Dodsworth
    PS3VE
    Foster
    PS3VF
    Golding
    PS3VG
    Chris
    PS3VH
    Hill, councillor
    J9DPSUNK
    Unknown speaker, other
    J9DPSUGP
    Group of unknown speakers, other
  3383. 428 words from Lincolnshire: Board meeting
    PS3VU
    chairman, All participants are work colleagues.
    J9EPSUNK
    Unknown speaker, other
    J9EPSUGP
    Group of unknown speakers, other
  3384. 17213 words from Leicestershire County Council: council chambers
    PS3WK
    chairman, All participants are work colleagues.
    PS3WL
    Roberts, councillor
    PS3WM
    Ryan, councillor
    PS3WN
    Clements, councillor
    PS3WP
    Parsons, councillor
    PS3WR
    Buxton, councillor
    PS3WS
    Avanby, councillor
    PS3WT
    Pritcher, councillor
    PS3WU
    Radford, councillor
    J9MPSUNK
    Unknown speaker, other
    J9MPSUGP
    Group of unknown speakers, other
  3385. 4962 words from MFI interim figures presentation: press announcement
    PS3XC
    55+, Derek, chairman of the board
    PS3XD
    40+, John, financial director
    J9NPS000
    unspecified
    J9NPS001
    unspecified
    J9NPS002
    unspecified
    J9NPS003
    unspecified
    J9NPS004
    unspecified
    J9NPS005
    unspecified
    J9NPSUNK
    Unknown speaker, other
    J9NPSUGP
    Group of unknown speakers, other
  3386. 16317 words from Charity committee meeting
    PS3XE
    26, Wendy, charity administrator
    PS3XF
    56, Emmy, founder and managing director of charity.
    J9PPS000
    unspecified
    J9PPS001
    unspecified
    J9PPS002
    unspecified
    J9PPS003
    unspecified
    J9PPS004
    unspecified
    J9PPS005
    unspecified
    J9PPSUNK
    Unknown speaker, other
    J9PPSUGP
    Group of unknown speakers, other
  3387. 2656 words from Technical meeting
    PS3XG
    40, dr rob fletcher, computer support department administrator
    PS3XH
    26, aaron turner, computer technician, Speaks (fascinatingly) with both a stammer and a stutter.
  3388. 11104 words from EIP meeting at Strensall Village Hall, day 5, evening session: public county council planning meeting
    PS3XJ
    50+, mr e barnett, department of the environment adjudicator, Chairperson.
    PS3XK
    30+, mr r girt, legal representative, for Leeds City Council
    PS3XL
    45+, mr michael courcier, solicitor
    PS3XM
    40+, mr peter davies, legal representative, for North Yorkshire County Council
    PS3XN
    20+, miss fiona firth, solicitor
    PS3XP
    30+, mr paul brighton, solicitor
    PS3XR
    60+, mr george whip, legal representative, for Flaxton Parish Council
    PS3XS
    40+, d whittaker, senior department of the environment inspector
    PS3XT
    20+, mr christopher timothy, legal representative, for Wood Framton
    J9SPSUNK
    Unknown speaker, other
    J9SPSUGP
    Group of unknown speakers, other
  3389. 21179 words from EIP meeting at Strensall Village Hall, day 5, morning session: public county council planning meeting
    PS3Y4
    50+, mr e barnett, department of the environment adjudicator, Chairperson.
    PS3Y5
    40+, mr peter davies, solicitor, for North Yorkshire County Council
    PS3Y6
    40+, d whittaker, senior inspector
    PS3Y7
    35+, roy donson, legal representative, for House Builders' Federation
    PS3Y8
    30+, mr malcolm spittle, legal representative, for North Yorkshire County Council
    PS3Y9
    30+, mr p brighton, solicitor
    PS3YA
    50+, mr terry heselton, legal representative, for Selby District Council
    PS3YB
    30+, mr j cunnane, solicitor, representing Sam Smiths Tadcaster Brewery
    PS3YC
    30+, mr r girt, legal representative, for Leeds City Council
    J9TPSUNK
    Unknown speaker, other
    J9TPSUGP
    Group of unknown speakers, other
  3390. 27340 words from EIP meeting at Strensall Village Hall, day 5, afternoon session: public county council planning meeting
    PS3YR
    50+, mr e barnett, department of the environment adjudicator, Chairperson.
    PS3YS
    30+, mr mills, legal representative
    PS3YT
    40+, mr g arrowsmith, solicitor
    PS3YU
    50+, mr w terry byrne, legal representative, for local Residents' Association
    PS3YV
    30+, mr d allenby, legal representative, for Harrogate Borough Council
    PS3YW
    40+, d whittaker, senior department of the environment inspector
    PS3YX
    mr alan williams, legal representative, for North Yorkshire County Council.
    J9UPSUNK
    Unknown speaker, other
    J9UPSUGP
    Group of unknown speakers, other
  3391. 18555 words from EIP meeting at Strensall Village Hall, day 7, morning session: public county council planning meeting
    J9VPS000
    unspecified
    J9VPS001
    unspecified
    J9VPS002
    unspecified
    J9VPS003
    unspecified
    J9VPS004
    unspecified
    J9VPS005
    unspecified
    J9VPS006
    unspecified
    J9VPS007
    unspecified
    J9VPS008
    unspecified
    J9VPSUNK
    Unknown speaker, other
    J9VPSUGP
    Group of unknown speakers, other
  3392. 11923 words from Job interview
    PS40G
    54, Rod, professional interviewer
    PS40H
    46, Ron, salesman, Interviewee.
    J9XPSUNK
    Unknown speaker, other
    J9XPSUGP
    Group of unknown speakers, other
  3393. 10944 words from Job interview
    PS40J
    54, Rod, professional interviewer
    PS40K
    41, Douglas, salesperson, Interviewee
    J9YPSUNK
    Unknown speaker, other
    J9YPSUGP
    Group of unknown speakers, other
  3394. 9163 words from Interview
    PS40L
    54, Rod, professional interviewer
    PS40M
    33, Patrick, salesperson, Interviewee
    JA0PSUNK
    Unknown speaker, other
    JA0PSUGP
    Group of unknown speakers, other
  3395. 8170 words from Interview
    PS40N
    54, Rod, professional interviewer
    PS40P
    38, Lynda, salesperson, Interviewee
    JA1PSUNK
    Unknown speaker, other
    JA1PSUGP
    Group of unknown speakers, other
  3396. 10905 words from Interview
    PS40R
    54, Rod, professional interviewer
    PS40S
    53, Trevor, salesperson
    JA2PSUNK
    Unknown speaker, other
    JA2PSUGP
    Group of unknown speakers, other
  3397. 7994 words from Interview
    PS40T
    54, Rod, professional interviewer
    PS40U
    46, Richard, salesperson, Interviewee.
    JA3PSUNK
    Unknown speaker, other
    JA3PSUGP
    Group of unknown speakers, other
  3398. 13620 words from Interview
    PS40V
    54, Rod, professional interviewer
    PS40W
    41, Robert, salesperson, Interviewee.
    JA4PSUNK
    Unknown speaker, other
    JA4PSUGP
    Group of unknown speakers, other
  3399. 9712 words from Southwell Parish Council: meeting of parish council for small town
    PS40X
    30+, Lynn, Chairperson
    PS40Y
    30+, Steve, Clerk
    PS410
    45+, David
    PS411
    45+, Roger, businessman
    PS412
    45+, Christine
    PS413
    60+, Madeleine
    PS414
    50+, Stuart
    PS415
    50+, Peter
    JA5PSUNK
    Unknown speaker, other
    JA5PSUGP
    Group of unknown speakers, other
  3400. 4954 words from Meeting
    PS418
    50+, Tom
    PS419
    25+
    PS41A
    60+, Adrian
    PS41B
    30+, David
    JA6PSUNK
    Unknown speaker, other
    JA6PSUGP
    Group of unknown speakers, other
  3401. 2382 words from French conversation class
    PS41E
    45, mrs j long, schoolteacher
    PS41F
    9, Phillip, school pupil
    PS41G
    9, Kieran, school pupil
    PS41H
    9, Richard, school pupil
    PS41J
    9, Christopher, school pupil
    PS41K
    9, Katrina, school pupil
    PS41L
    9, Josephone, school pupil
    PS41M
    9, Stacey, school pupil
    PS41N
    9, Lee, school pupil
    JA8PSUNK
    Unknown speaker, other
    JA8PSUGP
    Group of unknown speakers, other
  3402. 14201 words from Local Government Ombudsman office: planning meeting
    PS41Y
    30+, Anita, team leader
    PS420
    26, Graham, assistant administrator
    PS421
    30+, Rob, team leader
    PS422
    40+, Richard, team leader
    PS423
    50+, transport organizer
    PS424
    50+, David, administrator, Chairing meeting
    PS425
    40+, Marlene, team leader
    PS426
    20+, Karen
    JA9PSUNK
    Unknown speaker, other
    JA9PSUGP
    Group of unknown speakers, other
  3403. 4718 words from Science demonstration lesson
    PS427
    34, mr h a redfern, schoolteacher
    PS428
    40+, mrs trinder, schoolteacher, or non-teaching assistant.
    PS429
    9, Chris, school pupil
    PS42A
    9, Louise, school pupil
    PS42B
    9, Jennifer, school pupil
    PS42C
    9, Phillip, school pupil
    PS42D
    9, Jody, school pupil
    PS42E
    9, Alan, school pupil
    PS42F
    9, Steven, school pupil
    JAAPSUNK
    Unknown speaker, other
    JAAPSUGP
    Group of unknown speakers, other
  3404. 2241 words from Classroom history lead session
    PS42V
    45+, p lynch, schoolteacher
    PS42W
    9, Kieran, school pupil
    PS42X
    9, Daisy, school pupil
    PS42Y
    9, Jennifer, school pupil
    PS430
    9, Katrina, school pupil
    PS431
    9, Phillip, school pupil
    PS432
    9, Adam, school pupil
    PS433
    51, mr rose, retired music teacher, Making recording.
    JABPSUNK
    Unknown speaker, other
    JABPSUGP
    Group of unknown speakers, other
  3405. 10872 words from EIP meeting at Strensall, day 6, morning session: public county council planning meeting
    PS434
    50+, mr e barnett, department of the environment adjudicator
    PS435
    50+, mr ken williamson, legal representative, for North Yorkshire County Council
    PS436
    40+, mr david potter, legal representative, for North Yorkshire County Council
    PS437
    40+, miss d whittaker, department of the environment senior inspector
    PS438
    30+, mr david curtis, legal representative, for York City Council
    PS439
    35+, mr les saunders, legal representative, for Department of the Environment
    PS43A
    40+, professor david lock, legal representative, for David Lock Associates
    PS43B
    20+, miss fiona firth, legal representative, for Montague Evans
    PS43C
    30+, mr dave girt, legal representative, for Leeds City Council
    JACPSUNK
    Unknown speaker, other
    JACPSUGP
    Group of unknown speakers, other
  3406. 21571 words from EIP meeting at Strensall, day 6, afternoon session: public county council planning meeting
    PS43K
    50+, mr e barnett, department of the environment adjudicator
    PS43L
    30+, mr joe cunnane, legal representative, for J C Cunnane Associates
    PS43M
    40+, professor david lock, legal representative, for David Lock Associates
    PS43N
    40+, miss d whittaker, department of the environment senior inspector
    PS43P
    40+, mr david potter, legal representative, for North Yorkshire County Council
    PS43R
    50+, mr terry heselton, legal representative, for Selby District Council
    PS43S
    30+, mr david allenby, legal representative, for Harrogate District Council
    PS43T
    50+, mr laycock, legal representative, for Harrogate Civic Society
    PS43U
    40+, mr steel, legal representative, for Richmondshire District Council
    JADPSUNK
    Unknown speaker, other
    JADPSUGP
    Group of unknown speakers, other
  3407. 5841 words from Interview
    PS443
    54, Rod, interviewer
    PS444
    50, Maggie, salesperson, Interviewee
    JAEPSUNK
    Unknown speaker, other
    JAEPSUGP
    Group of unknown speakers, other
  3408. 2865 words from Nottingham University: lecture
    PS445
    lecturer, no further information given
    JJ6PSUNK
    Unknown speaker, other
    JJ6PSUGP
    Group of unknown speakers, other
  3409. 10748 words from Training session
    PS446
    David, trainer, further information not given
    PS447
    John, no further information given
    PS448
    Bill, no further information given
    PS449
    Rosie, technical leader
    JJ7PSUNK
    Unknown speaker, other
    JJ7PSUGP
    Group of unknown speakers, other
  3410. 7110 words from Commercial Union: training session
    PS44A
    no respondent information given
    JJ8PS000
    unspecified
    JJ8PSUNK
    Unknown speaker, other
    JJ8PSUGP
    Group of unknown speakers, other
  3411. 10444 words from Hertfordshire County Council: Environment Committee meeting
    PS44B
    councillor
    PS44C
    councillor
    PS44D
    chairman
    PS44F
    Tony, councillor
    PS44G
    councillor
    PS44H
    councillor
    PS44J
    York, councillor
    PS44K
    councillor
    JJ9PSUNK
    Unknown speaker, other
    JJ9PSUGP
    Group of unknown speakers, other
  3412. 9634 words from Hertfordshire County Council: Environment Committee meeting
    PS44R
    councillor
    PS44S
    councillor
    PS44T
    chairman
    PS44U
    councillor
    PS44V
    Tony, councillor
    PS44W
    councillor
    PS44X
    councillor
    PS44Y
    York, councillor
    PS450
    councillor
    JJAPSUNK
    Unknown speaker, other
    JJAPSUGP
    Group of unknown speakers, other
  3413. 1066 words from Estate agency: interview
    PS45K
    estate agent, no further information given
    PS45L
    buyer, no further information given
  3414. 19650 words from Wiltshire County Council: committee meeting
    PS45P
    Cole, no further information provided
    PS45R
    no further information provided
    PS45S
    Coleman, no further information provided
    PS45T
    Small, no further information provided
    PS45U
    Chalk, no further information provided
    PS45V
    Pager, no further information provided
    PS45W
    Okinson, no further information provided
    PS45X
    Caplan, no further information provided
    PS45Y
    no further information provided
    JJGPSUNK
    Unknown speaker, other
    JJGPSUGP
    Group of unknown speakers, other
  3415. 14880 words from Tarmac Construction Ltd training session
    PS46G
    further information not given
    JJHPSUNK
    Unknown speaker, other
    JJHPSUGP
    Group of unknown speakers, other
  3416. 70 words from Bristol University: training session
    PS46H
    no further respondent information given
    JJJPSUNK
    Unknown speaker, other
    JJJPSUGP
    Group of unknown speakers, other
  3417. 15900 words from Student seminar on absolute egalitarianism in China
    PS46K
    Philip
    JJLPSUNK
    Unknown speaker, other
    JJLPSUGP
    Group of unknown speakers, other
  3418. 14225 words from Bristol University history department: seminar
    PS46M
    no further information given
    JJNPS000
    unspecified
    JJNPSUNK
    Unknown speaker, other
    JJNPSUGP
    Group of unknown speakers, other
  3419. 11476 words from Friends Provident Insurance: training session
    PS46N
    saleswoman
    PS46R
    salesman
    PS46T
    Martin, instructor
    PS46U
    Maggie, instructor
    JJPPSUNK
    Unknown speaker, other
    JJPPSUGP
    Group of unknown speakers, other
  3420. 2968 words from Bacons College: lesson
    PS46V
    lecturer, no further information given
    PS46W
    pupil, no further information given
    PS46X
    Louisa, pupil
    PS46Y
    pupil, no further information given
    PS470
    pupil, no further information given
    PS471
    Tisha, pupil, no further information given
    PS472
    Daniel, pupil
    PS473
    Stuart, pupil, no further information given
    PS474
    Clair, pupil
    JJRPSUNK
    Unknown speaker, other
    JJRPSUGP
    Group of unknown speakers, other
  3421. 10280 words from Bacons College: lesson
    PS47D
    lecturer, no further information given
    PS47E
    Berkam, pupil
    PS47F
    teacher, no further information given
    PS47G
    no further information given
    PS47H
    David, pupil, no further information given
    PS47J
    pupil
    PS47K
    teacher
    PS47L
    pupil
    PS47M
    teacher
    JJSPSUNK
    Unknown speaker, other
    JJSPSUGP
    Group of unknown speakers, other
  3422. 13150 words from Whiteside v
    PS47X
    Hidden, judge
    PS47Y
    barrister
    JJUPSUNK
    Unknown speaker, other
    JJUPSUGP
    Group of unknown speakers, other
  3423. 12394 words from O'Halloran v
    PS480
    Drake, judge
    PS481
    Cox
    PS482
    Bate
    PS483
    Elaine
    PS484
    Clive, police inspector
    PS485
    Michael, detective constable
    PS486
    Denser
    PS487
    Michael, police superintendent
    JJVPSUNK
    Unknown speaker, other
    JJVPSUGP
    Group of unknown speakers, other
  3424. 11591 words from O'Halloran v
    PS488
    Michael, police superintendent
    PS489
    Drake, judge
    PS48A
    Denser, barrister
    PS48B
    Isles, police sergeant
    PS48C
    John, police sergeant
    JJWPSUNK
    Unknown speaker, other
    JJWPSUGP
    Group of unknown speakers, other
  3425. 6392 words from Hearing
    PS48D
    judge, no further information
    PS48E
    counsel, no further information given
    PS48F
    no further information given
    JJXPSUNK
    Unknown speaker, other
    JJXPSUGP
    Group of unknown speakers, other
  3426. 4965 words from High Court of Justice: hearing
    PS48G
    no further respondent information given
    JJYPS000
    unspecified
    JJYPS001
    unspecified
    JJYPSUNK
    Unknown speaker, other
    JJYPSUGP
    Group of unknown speakers, other
  3427. 13053 words from Royal Courts: hearing
    PS48H
    no further information given
    JK0PS000
    unspecified
    JK0PS001
    unspecified
    JK0PS002
    unspecified
    JK0PS003
    unspecified
    JK0PSUNK
    Unknown speaker, other
    JK0PSUGP
    Group of unknown speakers, other
  3428. 8776 words from Scientific research - the whole truth?: seminar
    PS48L
    60, Rolf, student
    PS48P
    Colin, tutor
    JK1PSUNK
    Unknown speaker, other
    JK1PSUGP
    Group of unknown speakers, other
  3429. 7082 words from The anthem of nations: seminar
    PS48R
    Colin, tutor
    JK2PSUNK
    Unknown speaker, other
    JK2PSUGP
    Group of unknown speakers, other
  3430. 11004 words from Trinity School: classroom interaction
    PS495
    Dexter, teacher
    PS496
    James
    PS497
    Graham, student
    PS498
    Martina, student
    PS499
    Paul, student
    PS49A
    Craig, student
    PS49B
    Lisa, student
    PS49C
    Stephen, student
    PS49D
    Daniel, student
    JK5PSUNK
    Unknown speaker, other
    JK5PSUGP
    Group of unknown speakers, other
  3431. 3962 words from Classroom interaction
    PS49U
    Rachael, pupil
    PS49V
    Evelyn, pupil
    PS49W
    Claire, pupil
    PS49X
    Catherine, pupil
    PS49Y
    Lawrence, pupil
    PS4A0
    Nicholas, pupil
    PS4A1
    Michael, pupil
    PS4A2
    Edward, pupil
    PS4A3
    David, pupil
    JK6PSUNK
    Unknown speaker, other
    JK6PSUGP
    Group of unknown speakers, other
  3432. 10720 words from Abbey Life introduction course: training
    PS4AD
    30, Carol, trainer, Quiz style session with scores recorded on blackboard.
    PS4AE
    David, trainer
    PS4AF
    John, trainee
    PS4AG
    Gerald, trainee
    PS4AH
    Sue, trainee
    PS4AJ
    Janet, trainee
    PS4AK
    June, trainee
    PS4AL
    Philip, trainee
    PS4AM
    Ilias, trainee
    JK7PSUNK
    Unknown speaker, other
    JK7PSUGP
    Group of unknown speakers, other
  3433. 9409 words from Abbey Life introduction course: training
    PS4AS
    30, Carol, trainer, Training session includes a five minute written exercise
    PS4AT
    David, training seesions
    PS4AU
    John, trainee
    PS4AV
    Gerald, trainee
    PS4AW
    Sue, trainee
    PS4AX
    Janet, janet
    PS4B0
    Philip, trainee
    PS4B1
    Ilias, trainee
    JK8PSUNK
    Unknown speaker, other
    JK8PSUGP
    Group of unknown speakers, other
  3434. 10347 words from Abbey Life introduction course: training
    PS4B7
    30, Carol, trainer, Occasional use of viewgraph projections and flip chart in demonstration answers.
    PS4B8
    David, training seesions
    PS4B9
    John, trainee
    PS4BA
    Gerald, trainee
    PS4BB
    Sue, trainee
    PS4BC
    Janet, janet
    PS4BE
    Philip, trainee
    PS4BF
    Ilias, trainee
    JK9PSUNK
    Unknown speaker, other
    JK9PSUGP
    Group of unknown speakers, other
  3435. 16742 words from Air UK sales meeting
    PS4BK
    Gary, sales executive
    PS4BL
    Brett, sales executive
    PS4BM
    Stuart, sales executive
    PS4BN
    Mike, sales executive
    JN6PSUNK
    Unknown speaker, other
    JN6PSUGP
    Group of unknown speakers, other
  3436. 6208 words from Air UK sales meeting
    PS4BP
    sales executive
    PS4BR
    sales executive
    PS4BS
    Stuart, sales executive
    PS4BT
    Mike, sales executive
    PS4BU
    Brett, sales executive
    JN7PSUNK
    Unknown speaker, other
    JN7PSUGP
    Group of unknown speakers, other
  3437. 1440 words from Northern Development Company: meeting
    PS4BV
    no further information given
    JN8PS000
    unspecified
    JN8PSUNK
    Unknown speaker, other
    JN8PSUGP
    Group of unknown speakers, other
  3438. 17333 words from Leicestershire County Council: debate
    PS4C4
    no further information given
    PS4C5
    Taylor, no further information given
    PS4C6
    Setchfield, no further information given
    PS4C7
    Beale, no further information given
    PS4C8
    Beale, no further information given
    PS4C9
    Joranpucher, no further information given
    PS4CA
    Bury, no further information given
    PS4CB
    Willmott, no further information given
    PS4CC
    Howard, no further information given
    JNBPSUNK
    Unknown speaker, other
    JNBPSUGP
    Group of unknown speakers, other
  3439. 13417 words from Training session
    PS4DB
    no further information given
    PS4DC
    Kathy, no further information given
    PS4DD
    Lee, no further information given
    PS4DE
    Marcus, no further information given
    PS4DF
    Greg, no further information given
    PS4DG
    Ian, no further information given
    PS4DH
    Lisa, no further information given
    PS4DJ
    Neil, no further information given
    JNDPSUNK
    Unknown speaker, other
    JNDPSUGP
    Group of unknown speakers, other
  3440. 11417 words from High Court of Justice: hearing
    PS4DK
    Beaumont, police officer
    PS4DL
    judge
    PS4DM
    Bates, lawyer, no further information given
    PS4DN
    Stuart, police officer
    PS4DP
    Louis, police officer
    PS4DR
    Gary, police officer
    PS4DS
    Brendan, police officer
    PS4DT
    lawyer
    PS4DU
    court official
    JNEPSUNK
    Unknown speaker, other
    JNEPSUGP
    Group of unknown speakers, other
  3441. 10363 words from Save The Children: meeting
    PS4DW
    Bill, news reporter
    PS4DX
    Mike, chairman
    PS4DY
    Michael, director
    PS4E0
    Caroline, no further information given
    PS4E1
    princess anne, princess
    PS4E2
    Patricia, actress
    PS4E3
    Sally, chair
    PS4E4
    no further information given
    PS4E5
    no further information given
    JNFPSUNK
    Unknown speaker, other
    JNFPSUGP
    Group of unknown speakers, other
  3442. 9997 words from Save The Children: meeting
    PS4EG
    Sally, chair
    PS4EH
    Janet, shop manageress
    PS4EJ
    Kathy, area rep
    PS4EK
    Jacquie, shop leader
    PS4EL
    Elise, no further information given
    PS4EM
    Ismar, student, no further information given
    PS4EN
    Nicholas, director general
    PS4EP
    Mike, chair
    PS4ER
    Mark, no further information given
    JNGPSUNK
    Unknown speaker, other
    JNGPSUGP
    Group of unknown speakers, other
  3443. 5258 words from Annual general meeting
    PS4ES
    no further information given
    JNHPS000
    unspecified
    JNHPS001
    unspecified
    JNHPS002
    unspecified
    JNHPS003
    unspecified
    JNHPS004
    unspecified
    JNHPSUNK
    Unknown speaker, other
    JNHPSUGP
    Group of unknown speakers, other
  3444. 5496 words from Annual general meeting
    PS4ET
    no further information given
    JNJPS000
    unspecified
    JNJPS001
    unspecified
    JNJPS002
    unspecified
    JNJPS003
    unspecified
    JNJPS004
    unspecified
    JNJPS005
    unspecified
    JNJPS006
    unspecified
    JNJPS007
    unspecified
    JNJPSUNK
    Unknown speaker, other
    JNJPSUGP
    Group of unknown speakers, other
  3445. 13735 words from Annual general meeting
    PS4EU
    President, no further information given
    PS4EV
    treasurer, no further information given
    PS4EW
    Judy, no further information given
    PS4EX
    Samantha, no further information given
    PS4EY
    Simon, no further information given
    JNKPSUNK
    Unknown speaker, other
    JNKPSUGP
    Group of unknown speakers, other
  3446. 8318 words from House of Commons Select Committee for Defence: meeting
    PS4F0
    Perry
    PS4F1
    Michael
    PS4F2
    Gordon
    PS4F3
    John
    PS4F4
    Nicholas
    JNMPSUNK
    Unknown speaker, other
    JNMPSUGP
    Group of unknown speakers, other
  3447. 10846 words from House of Commons Select Committee for Defence: meeting
    PS4F5
    Gordon, director general
    PS4F6
    White, group captain
    PS4F7
    Bruce
    PS4F8
    Peter
    PS4F9
    Michael
    PS4FA
    Neville
    PS4FB
    Campbell
    PS4FC
    Evans
    PS4FD
    Winston, member of parliament
    JNNPSUNK
    Unknown speaker, other
    JNNPSUGP
    Group of unknown speakers, other
  3448. 9789 words from House of Commons Select Committee for Social Security: committee meeting
    PS4FF
    chairman, no further information given
    PS4FG
    Ken, no further information given
    PS4FH
    Malcolm, no further information given
    PS4FJ
    John, no further information given
    PS4FK
    Gay, no further information given
    PS4FL
    Ron, no further information given
    PS4FM
    Jim, no further information given
    PS4FN
    Michael, no further information given
    PS4FP
    Jane, no further information given
    JNPPSUNK
    Unknown speaker, other
    JNPPSUGP
    Group of unknown speakers, other
  3449. 1663 words from Seminar presentation at conference
    PS4FW
    50+, medical consultant, Chairperson.
    PS4FX
    40+, medical consultant, Presenting seminar
    PS4FY
    medical consultant, Delegate
    PS4G0
    medical consultant, Delegate
    PS4G1
    medical consultant, Delegate
    PS4G2
    medical consultant, Delegate
  3450. 4789 words from Consultation with solicitor
    PS4G3
    45, Neville, solicitor
    PS4G4
    40, Geoffrey, unemployed, Client
    JNSPSUNK
    Unknown speaker, other
    JNSPSUGP
    Group of unknown speakers, other
  3451. 1516 words from Consultation with solicitor
    PS4G5
    45, Neville, solicitor
    PS4G6
    20, Sarah, Client and main speaker.
    PS4G7
    50+, Speaks very little.
  3452. 1360 words from Consultation with solicitor
    PS4G8
    45, Neville, solicitor
    PS4G9
    30, Client
    JNUPSUNK
    Unknown speaker, other
    JNUPSUGP
    Group of unknown speakers, other
  3453. 2582 words from Interview at TEC
    PS4GA
    business advisor
    PS4GB
    51, John, retired music teacher
    JNVPSUNK
    Unknown speaker, other
    JNVPSUGP
    Group of unknown speakers, other
  3454. 5497 words from Interview at TEC
    PS4GC
    51, John, retired music teacher
    PS4GD
    Ian, business advisor
    JNWPSUNK
    Unknown speaker, other
    JNWPSUGP
    Group of unknown speakers, other
  3455. 7155 words from Sales pitch
    PS4GE
    51, John, retired music teacher., Householder
    PS4GF
    51, Gill, music teacher, Householder
    PS4GG
    35, j marsden, salesperson
  3456. 2852 words from Sales pitch
    PS4GH
    51, John, retired music teacher, Householder
    PS4GJ
    25+, Markus, salesperson
    PS4GK
    51, Gill, music teacher, Householder
    JNYPSUNK
    Unknown speaker, other
    JNYPSUGP
    Group of unknown speakers, other
  3457. 13311 words from Meeting
    PS4GL
    mr poole
    PS4GM
    mr fremantle
    PS4GN
    jane warner
    PS4GP
    mr ingall
    PS4GR
    mr rowan
    JP0PSUNK
    Unknown speaker, other
    JP0PSUGP
    Group of unknown speakers, other
  3458. 5875 words from Meeting
    PS4GS
    John, manager
    PS4GT
    Shane, manager
    JP1PSUNK
    Unknown speaker, other
    JP1PSUGP
    Group of unknown speakers, other
  3459. 595 words from Meeting
    PS4GU
    s williams
    PS4GV
    t fremantle
    JP2PSUNK
    Unknown speaker, other
    JP2PSUGP
    Group of unknown speakers, other
  3460. 2445 words from Meeting
    PS4GW
    John, manager
    PS4GX
    Shane, manager
  3461. 11233 words from Tutorial lesson
    PS4GY
    50, John, tutor
    PS4H0
    18, Sara, nursery nurse
    JP4PSUNK
    Unknown speaker, other
    JP4PSUGP
    Group of unknown speakers, other
  3462. 3316 words from Tutorial lesson
    PS4H1
    50, John, tutor
    PS4H2
    16, Ruben, school student
  3463. 5342 words from Computers lecture
    PS4H3
    35+, lecturer
    JP6PSUNK
    Unknown speaker, other
    JP6PSUGP
    Group of unknown speakers, other
  3464. 13439 words from York Green Party business meeting: local politics
    PS4H4
    32, Helen, Secretary
    PS4H5
    28, Andy, Newsletter editor
    PS4H6
    26, ste (yes, ste), Coordinator
    PS4H7
    30+, Neil
    PS4H8
    40+, Bob
    PS4H9
    25+, Andy
    JP7PSUNK
    Unknown speaker, other
    JP7PSUGP
    Group of unknown speakers, other
  3465. 2721 words from Training session
    PS4HA
    lecturer, no further information given
    JP8PSUNK
    Unknown speaker, other
    JP8PSUGP
    Group of unknown speakers, other
  3466. 13678 words from Herts County Council Environment Committee meeting: debate
    PS4HB
    councillor
    PS4HC
    Charles, councillor
    JS7PS000
    unspecified
    JS7PS001
    unspecified
    JS7PS002
    unspecified
    JS7PS003
    unspecified
    JS7PS004
    unspecified
    JS7PS005
    unspecified
    JS7PS006
    unspecified
    JS7PSUNK
    Unknown speaker, other
    JS7PSUGP
    Group of unknown speakers, other
  3467. 13597 words from Herts County Council Environment committee: debate
    PS4HX
    Tyler, councillor
    JS8PS000
    unspecified
    JS8PS001
    unspecified
    JS8PS002
    unspecified
    JS8PS003
    unspecified
    JS8PS004
    unspecified
    JS8PS005
    unspecified
    JS8PS006
    unspecified
    JS8PSUNK
    Unknown speaker, other
    JS8PSUGP
    Group of unknown speakers, other
  3468. 21019 words from Wiltshire County Council: committee meeting
    PS4JA
    Coleman
    PS4JB
    Small
    PS4JC
    Chalk
    PS4JD
    Okinson
    JS9PS000
    unspecified
    JS9PS001
    unspecified
    JS9PS002
    unspecified
    JS9PS003
    unspecified
    JS9PS004
    unspecified
    JS9PSUNK
    Unknown speaker, other
    JS9PSUGP
    Group of unknown speakers, other
  3469. 19420 words from Tarmac Construction: training session
    PS4JX
    trainer
    PS4JY
    Bob
    PS4K0
    Tony
    PS4K1
    Jeff
    PS4K2
    Mike
    PS4K3
    Sarah
    PS4K4
    Rob
    PS4K5
    Gordon
    PS4K6
    John
    JSAPSUNK
    Unknown speaker, other
    JSAPSUGP
    Group of unknown speakers, other
  3470. 8096 words from Royal Courts: hearing
    PS4KC
    judge, no further information given
    PS4KD
    solicitor, no further information given
    PS4KF
    usher, no further information given
    PS4KG
    solicitor, no further information given
    JSCPSUNK
    Unknown speaker, other
    JSCPSUGP
    Group of unknown speakers, other
  3471. 4619 words from Coopers and Lybrand: seminar
    PS4KH
    no further information given
    JSDPSUNK
    Unknown speaker, other
    JSDPSUGP
    Group of unknown speakers, other
  3472. 3912 words from J
    PS4KJ
    Andrew, no further information given
    PS4KK
    no further information given
    PS4KL
    no further information given
    PS4KM
    no further information given
    PS4KN
    Paula, no further information given
    PS4KP
    Alex, no further information given
    PS4KR
    Tony, no further information given
    JSEPSUNK
    Unknown speaker, other
    JSEPSUGP
    Group of unknown speakers, other
  3473. 21854 words from House of Commons debate
    PS4KS
    Betty, speaker of the house of commons
    PS4KT
    Riddock, member of parliament
    PS4KU
    Winnick, member of parliament
    PS4KV
    Mead, member of parliament
    PS4KW
    Gilfore, member of parliament
    PS4KX
    Wilson, member of parliament
    PS4KY
    Banks, member of parliament
    PS4L0
    Cryer, member of parliament
    PS4L1
    Mickey, member of parliament
    JSFPSUNK
    Unknown speaker, other
    JSFPSUGP
    Group of unknown speakers, other
  3474. 20131 words from House of Commons debate
    PS4LA
    deputy speaker of the house of commons
    PS4LB
    Spicer, member of parliament
    PS4LC
    Taylor, member of parliament
    PS4LD
    Jenkins, member of parliament
    PS4LE
    Shepherd, member of parliament
    PS4LF
    Taylor, member of parliament
    PS4LG
    Holn, member of parliament
    PS4LH
    Morgan, member of parliament
    PS4LJ
    Betty, speaker of the house of commons
    JSGPSUNK
    Unknown speaker, other
    JSGPSUGP
    Group of unknown speakers, other
  3475. 12006 words from House of Commons debate
    PS4LP
    Betty, speaker of the house of commons
    PS4LR
    Gillan, member of parliament
    PS4LS
    Jones, member of parliament
    PS4LT
    Heal, member of parliament
    PS4LU
    Lloyd, member of parliament
    PS4LV
    James, member of parliament
    PS4LW
    Palsey, member of parliament
    PS4LX
    Savers, member of parliament
    PS4LY
    Brazier, member of parliament
    JSHPSUNK
    Unknown speaker, other
    JSHPSUGP
    Group of unknown speakers, other
  3476. 18218 words from House of Lords: debate
    PS4N7
    Montgomery, member of parliament
    PS4N8
    Maloy, member of parliament
    PS4N9
    Payton
    PS4NA
    Macintosh, member of parliament
    JSJPSUNK
    Unknown speaker, other
    JSJPSUGP
    Group of unknown speakers, other
  3477. 17297 words from TNT Express: Team focus training session
    PS4NE
    58, Peter, trainer
    PS4NF
    30, Whitwerth
    PS4NG
    30, Mary, telesales person
    PS4NH
    30, Mark, sales executive
    PS4NJ
    30, Jack, sales executive
    PS4NK
    30, Jane, telesales person
    PS4NL
    30, Linda, telesales person
    PS4NM
    30, Dave, telesales person
    PS4NN
    30, Matt, sales executive
    JSNPSUNK
    Unknown speaker, other
    JSNPSUGP
    Group of unknown speakers, other
  3478. 6394 words from St Dominic's: training session
    PS4R4
    teacher
    PS4R5
    unspecified
    PS4R6
    Claire
    PS4R7
    Catherine
    PS4R8
    Michael
    PS4R9
    Anne, no further respondent information given
    JSTPS000
    unspecified
    JSTPSUNK
    Unknown speaker, other
    JSTPSUGP
    Group of unknown speakers, other
  3479. 4743 words from St Dominic's: training session
    PS4RA
    teacher, no further information given
    PS4RB
    student
    PS4RC
    Michelle, student
    PS4RD
    Elizabeth, student
    PS4RE
    Martin, student
    PS4RF
    Lucy, student
    PS4RG
    Stacey, student
    PS4RH
    Laura, student
    PS4RJ
    Cassandra, student
    JSUPSUNK
    Unknown speaker, other
    JSUPSUGP
    Group of unknown speakers, other
  3480. 4439 words from St Dominic's: training session
    PS4RK
    teacher, no further information given
    PS4RL
    Alison, student
    PS4RM
    student
    PS4RN
    Francesca, student
    PS4RP
    Richard, student
    PS4RS
    Margaret, student
    JSVPSUNK
    Unknown speaker, other
    JSVPSUGP
    Group of unknown speakers, other
  3481. 10579 words from Lecture on statistics
    PS4SF
    31, Barker, lecturer
    JSYPSUNK
    Unknown speaker, other
    JSYPSUGP
    Group of unknown speakers, other
  3482. 9034 words from Aston University: social science lecture
    PS4SG
    31, Barker, lecturer, (background chatter, with
    JT0PSUNK
    Unknown speaker, other
    JT0PSUGP
    Group of unknown speakers, other
  3483. 10140 words from Aston University: social science lecture
    PS4SH
    31, Barker, lecturer, no further respondent information given
    JT1PSUNK
    Unknown speaker, other
    JT1PSUGP
    Group of unknown speakers, other
  3484. 8643 words from John Ruskin Sixth Form College: lecture
    PS4SJ
    tutor
    PS4SK
    Jim, sound recordist
    PS4SL
    Darren, student
    PS4SM
    Tanya, student
    PS4SN
    Zakia, student
    PS4SP
    Sam, student
    PS4SR
    Ben, student
    PS4SS
    Anthony, student
    PS4ST
    Nihal, student
    JT2PSUNK
    Unknown speaker, other
    JT2PSUGP
    Group of unknown speakers, other
  3485. 13203 words from Abbey Life: training session
    PS4SX
    Graham, business trainer
    PS4SY
    Mike, insurance representative
    PS4T0
    David
    JT3PS000
    unspecified
    JT3PS001
    unspecified
    JT3PSUNK
    Unknown speaker, other
    JT3PSUGP
    Group of unknown speakers, other
  3486. 11898 words from John Ruskin Sixth Form College: lecture
    PS4T1
    tutor
    PS4T2
    Martin, sound recordist
    PS4T3
    Jo, student
    PS4T4
    Vicky, student
    PS4T5
    Lynn, student
    PS4T6
    Darren, student
    PS4T7
    David, student
    PS4T8
    Assa, student
    PS4T9
    Hannah, student
    JT4PSUNK
    Unknown speaker, other
    JT4PSUGP
    Group of unknown speakers, other
  3487. 12143 words from [Local Council meeting]
    PS4TK
    Evans, councillor
    PS4TL
    Rosensteel, councillor
    PS4TM
    Morgan, councillor
    PS4TN
    head of council
    PS4TP
    Hoskins, councillor
    PS4TR
    Edwards, councillor
    PS4TS
    Jones, councillor
    PS4TT
    Hilliard, councillor
    PS4TU
    Coleman, councillor
    JT7PSUNK
    Unknown speaker, other
    JT7PSUGP
    Group of unknown speakers, other
  3488. 12349 words from [Local Council meeting]
    PS4U2
    head of council
    PS4U3
    Price, councillor
    PS4U4
    Evans, councillor
    PS4U5
    Thomson, councillor
    PS4U6
    Howarth, councillor
    PS4U7
    Gloucester, councillor
    PS4U8
    Smith, councillor
    PS4U9
    Nevis, councillor
    PS4UA
    Evans, councillor
    JT8PSUNK
    Unknown speaker, other
    JT8PSUGP
    Group of unknown speakers, other
  3489. 1992 words from Meeting at Southwell Racecourse
    PS4UJ
    30, Wayne, general manager of racecourse
    PS4UK
    40+, Mike, steward at racecourse
    PS4UL
    28, Mandy, secretary at racecourse
    JT9PSUNK
    Unknown speaker, other
    JT9PSUGP
    Group of unknown speakers, other
  3490. 11059 words from Managerial Meeting
    PS4UN
    manager
    PS4UP
    Russell, manager
    JTAPSUNK
    Unknown speaker, other
    JTAPSUGP
    Group of unknown speakers, other
  3491. 12094 words from Managerial Meeting
    PS4UR
    50+, pete?, manager
    PS4US
    30+
    PS4UT
    30+, Ray
    PS4UU
    30+, Lynne
    PS4UV
    unspecified
    PS4UW
    Stewart
    PS4UX
    unspecified
    PS4UY
    unspecified
    PS4V0
    unspecified
    JTBPSUNK
    Unknown speaker, other
    JTBPSUGP
    Group of unknown speakers, other
  3492. 11296 words from Managerial Meeting
    PS4V1
    unspecified
    PS4V2
    unspecified
    PS4V3
    Ray
    PS4V4
    30+, Lynne
    PS4V5
    unspecified
    PS4V6
    unspecified
    PS4V7
    unspecified
    PS4V8
    unspecified
    PS4V9
    unspecified
    JTCPSUNK
    Unknown speaker, other
    JTCPSUGP
    Group of unknown speakers, other
  3493. 8915 words from Edingley Parish Council meeting
    PS4VA
    45+, arnold bower, councillor, Chairperson
    PS4VB
    55+, pat beeyer, secretary
    PS4VC
    60+, john watts
    PS4VD
    65+, kevin topham, councillor, Vice chairperson
    PS4VE
    50+, irene young
    PS4VF
    30+, dale ross
    PS4VG
    45+, anne tyler
    PS4VH
    60+
    PS4VJ
    50+, derek walker, grant and developments officer
    JTDPSUNK
    Unknown speaker, other
    JTDPSUGP
    Group of unknown speakers, other
  3494. 14835 words from Induction of new voluntary workers at Barley Hall
    PS4VP
    55+, Charles, historical consultant, In charge of Barley Hall project (loosely speaking).
    PS4VR
    23, Clare, student and volunteer guide
    PS4VS
    Passer-by
    PS4VT
    34, Mike, volunteer personnel coordinator
    PS4VU
    Linda, shop assistant
    PS4VV
    60+, Elsie, volunteer guide
    PS4VW
    prospective volunteer
    PS4VX
    prospective volunteer
    PS4VY
    unspecified
    JTEPSUNK
    Unknown speaker, other
    JTEPSUGP
    Group of unknown speakers, other
  3495. 6496 words from Worsley Liberal Democrats: annual general meeting
    PS4W1
    55+, mr a. kerry holt, Chairperson
    PS4W2
    61, mr bob boyd, Secretary
    PS4W3
    50+, mr peter brown, Treasurer
    PS4W4
    75+, mr arthur smith, President
    PS4W5
    mr aled owen, Question from audience
    PS4W6
    50+, Question from audience
    PS4W7
    70+, mr tom hilton, Membership secretary
    PS4W8
    50+, Question from audience
    PS4W9
    60+, John, Question from audience
    JTFPSUNK
    Unknown speaker, other
    JTFPSUGP
    Group of unknown speakers, other
  3496. 13379 words from Hertfordshire County Council: meeting
    PS4WB
    council chairman
    PS4WC
    Christopher, councillor
    PS4WD
    Jarvis, councillor
    PS4WE
    councillor
    PS4WF
    John, councillor
    PS4WG
    Martin, councillor
    PS4WH
    Bob, labour councillor
    PS4WJ
    mr eldrum, councillor
    PS4WK
    Pauline, conservative councillor
    JWAPSUNK
    Unknown speaker, other
    JWAPSUGP
    Group of unknown speakers, other
  3497. 36328 words from The BBC BASIC reference manual for the Z88. Mounter, D J M-TEC Computer Services UK 1989 1-8
  3498. 28406 words from Matrimonial conveyancing: a draftsman's handbook. Hartley, William M Longman Group UK Ltd Harlow 1981 1-125
  3499. 25819 words from Law's empire. Dworkin, Ronald Fontana Press London 1986 114-248
  3500. 34637 words from The microcomputer, the school librarian, and the teacher. Herring, James E Clive Bingley Ltd London 1987 1-118
  3501. 4434 words from Nasser. Woodward, Peter Longman Group UK Ltd Harlow 1991 1-13
  3502. 44975 words from The radical left in Britain 1931-1941. Jupp, James Frank Cass & Company Ltd London 1982 1-122
  3503. 37350 words from Veterinary parasitology. Urquhart Jennings Armour Dunn Duncan Longman Scientific and Technical Harlow 1988 3-76
  3504. 680 words from New Internationalist [advertising leaflet]. New Internationalist
  3505. 46131 words from Battle for love. Howard, Stephanie Mills & Boon Richmond, Surrey 1991
  3506. 46098 words from Conspiracy of love. Howard, Stephanie Mills & Boon Richmond, Surrey 1993
  3507. 54541 words from Castle of desire. Heywood, Sally Mills & Boon Richmond, Surrey 1991
  3508. 50794 words from Destined to love. Taylor, Jennifer Mills & Boon Richmond, Surrey 1992
  3509. 48777 words from A dangerous diagnosis. Evans, Jean Mills & Boon Richmond, Surrey 1993
  3510. 48853 words from Double fire. Lynch, Mary Lyons, Mary Mills & Boon Richmond, Surrey 1992
  3511. 42959 words from False impressions. Keane, Lucy Mills & Boon Richmond, Surrey 1990
  3512. 59555 words from Hearts in hiding. Grey, Alice Mills & Boon Richmond, Surrey 1993
  3513. 43179 words from His woman. Steele, Jessica Mills & Boon Richmond, Surrey 1991
  3514. 51388 words from Joy bringer. Wilkinson, Lee Mills & Boon Richmond, Surrey 1992
  3515. 47606 words from Love by design. Ash, Rosalie Mills & Boon Richmond, Surrey 1991
  3516. 54057 words from Love or nothing. Fox, Natalie Mills & Boon Richmond, Surrey 1993
  3517. 50348 words from Lover's charade. Elliot, Rachel Mills & Boon Richmond, Surrey 1992
  3518. 48449 words from One shining summer. Wilder, Quinn Mills & Boon Richmond, Surrey 1993
  3519. 58776 words from Roman spring. Marton, Sandra Mills & Boon Richmond, Surrey 1993
  3520. 52507 words from The stolen heart. Browning, Amanda Mills & Boon Richmond, Surrey 1992
  3521. 42987 words from Sudden fire. Oldfield, Elizabeth Mills & Boon Richmond, Surrey 1993
  3522. 55984 words from Sweet deceiver. Ashe, Jenny Mills & Boon Richmond, Surrey 1993
  3523. 47168 words from The spice of life. Anderson, Caroline Mills & Boon Richmond, Surrey 1993
  3524. 50800 words from Out of the storm. George, Catherine Mills & Boon Richmond, Surrey 1991
  3525. 51031 words from Ungoverned passion. Holland, Sarah Mills & Boon Richmond, Surrey 1993
  3526. 51544 words from Vets in opposition. Bowring, Mary Mills & Boon Richmond, Surrey 1993
  3527. 55671 words from West of Bohemia. Steele, Jessica Mills & Boon Richmond, Surrey 1993
  3528. 12110 words from Tarmac Construction Ltd: training session
    PS6N1
    lecturer
    PS6N2
    trainee
    PS6N3
    trainee
    PS6N4
    Alan, trainee
    PS6N5
    Terry, trainee
    PS6N6
    Chris, trainee
    PS6N7
    Aveline, trainee
    PS6N8
    trainee
    PS6N9
    Tom, trainee
    JYLPSUNK
    Unknown speaker, other
    JYLPSUGP
    Group of unknown speakers, other
  3529. 12004 words from TNT training session: seminar
    PS6ND
    30, trainer
    PS6NE
    20, telesales person
    PS6NF
    20, telesales person
    PS6NG
    20, telesales person
    PS6NH
    20, telesales person
    PS6NJ
    20, telesales person
    PS6NK
    20, telesales person
    PS6NL
    20, Turner, telesales person
    JYMPSUNK
    Unknown speaker, other
    JYMPSUGP
    Group of unknown speakers, other
  3530. 18746 words from Aston University psychology department: lecture
    PS6NM
    31, psychology lecturer
    PS6NN
    20+, student, talks about gay and lesbian issues
    PS6NP
    20+, student, talks about work problems
    PS6NR
    20+, student, talks about the dreams of blind people
    PS6NS
    20+, student, talks about questionaires
    PS6NT
    19, student
    JYNPSUNK
    Unknown speaker, other
    JYNPSUGP
    Group of unknown speakers, other
  3531. 39687 words from [Central television news scripts] u.p.
  3532. 40762 words from [Central television news scripts] u.p.
  3533. 34139 words from [Central television news scripts] u.p.
  3534. 42660 words from [Central television news scripts] u.p.
  3535. 36712 words from [Central television news scripts] u.p.
  3536. 42465 words from [Central television news scripts] u.p.
  3537. 37069 words from [Central television news scripts] u.p.
  3538. 39494 words from [Central television news scripts] u.p.
  3539. 40287 words from [Central television news scripts] u.p.
  3540. 39933 words from [Central television news scripts] u.p.
  3541. 41785 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3542. 38995 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3543. 39243 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3544. 41805 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3545. 41523 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3546. 38980 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3547. 39817 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3548. 39397 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3549. 36431 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3550. 40087 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3551. 38969 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3552. 38563 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3553. 39005 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3554. 39689 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3555. 43620 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3556. 40606 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3557. 45760 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3558. 40200 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3559. 40893 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3560. 6789 words from [Central television news scripts] Boileau, John Central TV Abingdon 1993
  3561. 1976 words from Belfast Telegraph: Applied Science pages. u.p.
  3562. 7718 words from Belfast Telegraph: Arts section. u.p.
  3563. 2104 words from Belfast Telegraph: Religious affairs stories. u.p.
  3564. 3333 words from Belfast Telegraph: Business section. u.p.
  3565. 71997 words from Belfast Telegraph: Leisure pages. u.p.
  3566. 5439 words from Belfast Telegraph: News and features. u.p.
  3567. 31785 words from Belfast Telegraph: Foreign news pages. u.p.
  3568. 1873 words from Belfast Telegraph: Applied Science pages. u.p.
  3569. 1978 words from Belfast Telegraph: Arts section. u.p.
  3570. 397 words from Belfast Telegraph: Religious affairs stories. u.p.
  3571. 3806 words from Belfast Telegraph: Business section. u.p.
  3572. 18009 words from Belfast Telegraph: Leisure pages. u.p.
  3573. 1643 words from Belfast Telegraph: News and features. u.p.
  3574. 20695 words from Belfast Telegraph: Foreign news pages. u.p.
  3575. 2667 words from Belfast Telegraph: Applied Science pages. u.p.
  3576. 13763 words from Belfast Telegraph: Arts section. u.p.
  3577. 183 words from Belfast Telegraph: Religious affairs stories. u.p.
  3578. 9694 words from Belfast Telegraph: Business section. u.p.
  3579. 33874 words from Belfast Telegraph: Leisure pages. u.p.
  3580. 7619 words from Belfast Telegraph: News and features. u.p.
  3581. 34353 words from Belfast Telegraph: Foreign news pages. u.p.
  3582. 2453 words from Belfast Telegraph: Applied Science pages. u.p.
  3583. 7113 words from Belfast Telegraph: Arts section. u.p.
  3584. 166 words from Belfast Telegraph: Religious affairs stories. u.p.
  3585. 5542 words from Belfast Telegraph: Business section. u.p.
  3586. 62140 words from Belfast Telegraph: Leisure pages. u.p.
  3587. 507 words from Belfast Telegraph: Applied Science pages. u.p.
  3588. 6807 words from Belfast Telegraph: News and features. u.p.
  3589. 37739 words from Belfast Telegraph: Foreign news pages. u.p.
  3590. 653 words from Liverpool Daily Post and Echo] u.p.
  3591. 8232 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3592. 1250 words from Liverpool Daily Post and Echo: Religious affairs stories. u.p.
  3593. 6969 words from Liverpool Daily Post and Echo: Business section. u.p.
  3594. 25658 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3595. 1369 words from Liverpool Daily Post and Echo: News and features. u.p.
  3596. 36979 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3597. 565 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3598. 5552 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3599. 202 words from Liverpool Daily Post and Echo: Religious affairs stories. u.p.
  3600. 7560 words from Liverpool Daily Post and Echo: Business section. u.p.
  3601. 28382 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3602. 8693 words from Liverpool Daily Post and Echo: News and features. u.p.
  3603. 34788 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3604. 1373 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3605. 3057 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3606. 2586 words from Liverpool Daily Post and Echo: Business section. u.p.
  3607. 12951 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3608. 146 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3609. 1798 words from Liverpool Daily Post and Echo: News and features. u.p.
  3610. 22112 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3611. 987 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3612. 2891 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3613. 4125 words from Liverpool Daily Post and Echo: Business section. u.p.
  3614. 28588 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3615. 340 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3616. 3795 words from Liverpool Daily Post and Echo: News and features. u.p.
  3617. 23672 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3618. 520 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3619. 2188 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3620. 1598 words from Liverpool Daily Post and Echo: Business section. u.p.
  3621. 23676 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3622. 580 words from Liverpool Daily Post and Echo: News and features. u.p.
  3623. 17941 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3624. 2700 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3625. 6004 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3626. 431 words from Liverpool Daily Post and Echo: Religious affairs stories. u.p.
  3627. 11068 words from Liverpool Daily Post and Echo: Business section. u.p.
  3628. 27237 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3629. 6807 words from Liverpool Daily Post and Echo: News and features. u.p.
  3630. 21165 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3631. 2083 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3632. 4157 words from Liverpool Daily Post and Echo: Arts section. u.p.
  3633. 11240 words from Liverpool Daily Post and Echo: Business section. u.p.
  3634. 30638 words from Liverpool Daily Post and Echo: Leisure pages. u.p.
  3635. 473 words from Liverpool Daily Post and Echo: Applied Science pages. u.p.
  3636. 9756 words from Liverpool Daily Post and Echo: News and features. u.p.
  3637. 28742 words from Liverpool Daily Post and Echo: Foreign news pages. u.p.
  3638. 6333 words from Northern Echo: Applied Science pages. u.p.
  3639. 59097 words from Northern Echo: Arts section. u.p.
  3640. 1084 words from Northern Echo: Religious affairs stories. u.p.
  3641. 35935 words from Northern Echo: Business section. u.p.
  3642. 202341 words from Northern Echo: Leisure pages. u.p.
  3643. 1972 words from Northern Echo: Applied Science pages. u.p.
  3644. 59982 words from Northern Echo: News and features. u.p.
  3645. 204096 words from Northern Echo: Foreign news pages. u.p.
  3646. 2470 words from Northern Echo: Applied Science pages. u.p.
  3647. 26999 words from Northern Echo: Arts section. u.p.
  3648. 5773 words from Northern Echo: Religious affairs stories. u.p.
  3649. 42521 words from Northern Echo: Business section. u.p.
  3650. 166099 words from Northern Echo: Leisure pages. u.p.
  3651. 1011 words from Northern Echo: Applied Science pages. u.p.
  3652. 128431 words from Northern Echo: News and features. u.p.
  3653. 169186 words from Northern Echo: Foreign news pages. u.p.
  3654. 15435 words from The Scotsman: Applied Science pages. u.p.
  3655. 46835 words from The Scotsman: Arts section. u.p.
  3656. 3874 words from The Scotsman: Religious affairs stories. u.p.
  3657. 111515 words from The Scotsman: Business section. u.p.
  3658. 141863 words from The Scotsman: Leisure pages. u.p.
  3659. 362 words from The Scotsman: Applied Science pages. u.p.
  3660. 52665 words from The Scotsman: News and features. u.p.
  3661. 276749 words from The Scotsman: Foreign news pages. u.p.
  3662. 7044 words from The Scotsman: Applied Science pages. u.p.
  3663. 41819 words from The Scotsman: Arts section. u.p.
  3664. 2258 words from The Scotsman: Religious affairs stories. u.p.
  3665. 116629 words from The Scotsman: Business section. u.p.
  3666. 112635 words from The Scotsman: Leisure pages. u.p.
  3667. 941 words from The Scotsman: Applied Science pages. u.p.
  3668. 45283 words from The Scotsman: News and features. u.p.
  3669. 261314 words from The Scotsman: Foreign news pages. u.p.
  3670. 13015 words from Nucleic acids research. Oxford University Press Oxford 1993
  3671. 18372 words from Nucleic acids research. Oxford University Press Oxford 1993
  3672. 6519 words from Nucleic acids research. Oxford University Press Oxford 1993
  3673. 1654 words from Nucleic acids research. Oxford University Press Oxford 1993
  3674. 17855 words from Nucleic acids research. Oxford University Press Oxford 1993
  3675. 1052 words from Nucleic acids research. Oxford University Press Oxford 1993
  3676. 3094 words from Nucleic acids research. Oxford University Press Oxford 1993
  3677. 4314 words from Nucleic acids research. Oxford University Press Oxford 1993
  3678. 9810 words from Nucleic acids research. Oxford University Press Oxford 1993
  3679. 17017 words from Nucleic acids research. Oxford University Press Oxford 1993
  3680. 17605 words from Appreciation of literature: lecture and discussion
    PS5AX
    30+, Liz, lecturer
    K60PSUNK
    Unknown speaker, other
    K60PSUGP
    Group of unknown speakers, other
  3681. 11120 words from Walsall Local Studies Centre: interview
    PS5AY
    Joyce
    PS5B0
    Edward
    K61PSUNK
    Unknown speaker, other
    K61PSUGP
    Group of unknown speakers, other
  3682. 7745 words from Walsall Local Studies Centre: interview
    PS5B1
    unspecified
    PS5B2
    retired
    K62PSUNK
    Unknown speaker, other
    K62PSUGP
    Group of unknown speakers, other
  3683. 8708 words from Walsall Local Studies Centre: interview
    PS5B3
    Joyce
    PS5B4
    Gilbert, retired
    K63PSUNK
    Unknown speaker, other
    K63PSUGP
    Group of unknown speakers, other
  3684. 4608 words from Suffolk Sound Archive: interview
    PS5B5
    unspecified
    PS5B6
    Doris, retired children's nurse
    K64PSUNK
    Unknown speaker, other
    K64PSUGP
    Group of unknown speakers, other
  3685. 10900 words from Suffolk Sound Archive: interview for the Museum of East Anglian Life
    PS5B7
    unspecified
    PS5B8
    67, Harry, retired butcher
    PS5B9
    Jessie, retired
  3686. 2967 words from Suffolk Sound Archive: dedication of museum
    PS5BA
    Horace, retired ground executive officer usaf
    K67PSUNK
    Unknown speaker, other
    K67PSUGP
    Group of unknown speakers, other
  3687. 6620 words from Suffolk Sound Archive: interview
    PS5BB
    Yvonne
    PS5BC
    Sidney, retired police officer
  3688. 8140 words from Suffolk Sound Archive: interview
    PS5BD
    Joyce
    PS5BE
    Melville, retired fire officer
  3689. 10493 words from On the Record: television broadcast
    PS5BF
    john ?, tv presenter
    PS5BG
    michael heseltine, cabinet minister (conservative)
    PS5BH
    david walter, reporter
    PS5BJ
    david ?, member of parliament (conservative)
    PS5BK
    rhodes ?, member of parliament
    PS5BL
    Anders, swedish transport official
    PS5BM
    bill ?, professor
    PS5BN
    stig ?, director general of swedish railways
    PS5BP
    tim ?, member of parliament (conservative)
    K6APSUNK
    Unknown speaker, other
    K6APSUGP
    Group of unknown speakers, other
  3690. 6255 words from The Money Programme: television broadcast
    PS5BT
    telvision announcer
    PS5BU
    Peter, reporter
    PS5BV
    andreas ?, editor
    PS5BW
    Andrew, chairman of news group
    PS5BX
    David, editor
    PS5BY
    Anita
    PS5C0
    Peter
    PS5C1
    Paul
    PS5C2
    Richard, business consultant
    K6BPSUNK
    Unknown speaker, other
    K6BPSUGP
    Group of unknown speakers, other
  3691. 4764 words from Six O'Clock News: television broadcast
    PS5CK
    nicholas witchell, newsreader
    PS5CL
    neil bennet, reporter
    PS5CM
    David, solicitor
    PS5CN
    Paddy
    PS5CP
    Billy
    PS5CR
    moira stewart, newsreader
    PS5CS
    Nick, reporter
    PS5CT
    Max, newspaper editor
    PS5CU
    Anthony, retired chairman of the bar
    K6CPSUNK
    Unknown speaker, other
    K6CPSUGP
    Group of unknown speakers, other
  3692. 4719 words from Six O'Clock News: television broadcast
    PS5DW
    nicholas witchell, newsreader
    PS5DX
    david schuckman, reporter
    PS5DY
    malcolm rifkind, defence secretary
    PS5E0
    David, member of parliament
    PS5E1
    Nicholas, member of parliament
    PS5E2
    john menzies, member of parliament
    PS5E3
    moira stewart, newsreader
    PS5E4
    iain carson, reporter
    PS5E5
    unspecified
    K6DPSUNK
    Unknown speaker, other
    K6DPSUGP
    Group of unknown speakers, other
  3693. 4758 words from Six O'Clock News: television broadcast
    PS5F6
    nicholas witchell, newsreader
    PS5F7
    neil bennet, reporter
    PS5F8
    Raymond, police constable
    PS5F9
    anna ford, newsreader
    PS5FA
    triona holden, reporter
    PS5FB
    Austin
    PS5FC
    Michael, solicitor
    PS5FD
    tutor
    PS5FE
    polly toynbee, reporter
    K6EPSUNK
    Unknown speaker, other
    K6EPSUGP
    Group of unknown speakers, other
  3694. 4963 words from Six O'Clock News: television broadcast
    PS5GJ
    anna ford, newsreader
    PS5GK
    john sergeant, reporter
    PS5GL
    robin cook, member of parliament (labour)
    PS5GM
    malcolm (rifkind?), member of parliament
    PS5GN
    tim eggar?, member of parliament
    PS5GP
    Nicholas, member of parliament
    PS5GR
    Jenny, newsreader
    PS5GS
    stephen evans, reporter
    PS5GT
    miner
    K6FPSUNK
    Unknown speaker, other
    K6FPSUGP
    Group of unknown speakers, other
  3695. 4696 words from Six O'Clock News: television broadcast
    PS5J5
    anna ford, newsreader
    PS5J6
    laurie margolis, reporter
    PS5J7
    Maureen
    PS5J8
    Paul, metropolitan police commissioner
    PS5J9
    Barry, police constable
    PS5JA
    Ivan
    PS5JB
    Fred, teacher
    PS5JC
    Jenny, newsreader
    PS5JD
    neil bennet, reporter
    K6GPSUNK
    Unknown speaker, other
    K6GPSUGP
    Group of unknown speakers, other
  3696. 4823 words from Six O'Clock News: television broadcast
    PS5KC
    nicholas witchell, newsreader
    PS5KD
    gerry baker, reporter
    PS5KE
    shop manager
    PS5KF
    Derek, company spokesperson
    PS5KG
    Stephen, member of parliament
    PS5KH
    harriet harman, member of parliament
    PS5KJ
    Simon, member of parliament
    PS5KK
    moira stewart, newsreader
    PS5KL
    laurie margolis, reporter
    K6HPSUNK
    Unknown speaker, other
    K6HPSUGP
    Group of unknown speakers, other
  3697. 11999 words from Tutorial lesson
    PS5LU
    50, John, maths and science tutor
    K6JPS000
    unspecified
    K6JPSUNK
    Unknown speaker, other
    K6JPSUGP
    Group of unknown speakers, other
  3698. 3883 words from Oral history project: interview
    PS5LV
    historian
    PS5LW
    Mabel, singer
  3699. 7341 words from Oral history project: interview
    PS5LX
    Margaret, historian
    PS5LY
    jo ellen, historian
    PS5M0
    70+, Nan, retired french polisher
  3700. 10668 words from Oral history project: interview
    PS5M1
    historian, Interviewing
    K6MPS000
    unspecified
  3701. 8094 words from Oral history project: interview
    PS5M2
    40+, Ian, historian, Interviewing speaker
    K6NPS000
    unspecified
    K6NPS001
    unspecified
    K6NPS002
    unspecified
    K6NPSUNK
    Unknown speaker, other
    K6NPSUGP
    Group of unknown speakers, other
  3702. 6822 words from Orkney Library Sound Archive tape OLSA 123: interview for oral history project
    PS5M3
    65, Peter, retired crofter, From North Ronaldsay. Being interviewd by
    K6PPS000
    unspecified
    K6PPSUNK
    Unknown speaker, other
    K6PPSUGP
    Group of unknown speakers, other
  3703. 6793 words from Orkney Sound Archive tape OSA 303: interview for oral history project
    PS5M4
    historian, Interviewing
    K6RPS000
    unspecified
    K6RPS001
    unspecified
    K6RPSUNK
    Unknown speaker, other
    K6RPSUGP
    Group of unknown speakers, other
  3704. 4402 words from Orkney Sound Archive tape OSA 303: interview for oral history project
    PS5M5
    historian, Interviewing
    K6SPS000
    unspecified
    K6SPS001
    unspecified
    K6SPSUNK
    Unknown speaker, other
    K6SPSUGP
    Group of unknown speakers, other
  3705. 5871 words from Orkney Sound Archive tape OSA 305: interview for oral history project
    PS5M6
    Maimes, Being interviewed by
    K6TPS000
    unspecified
  3706. 8841 words from Gwynedd County Council tape 1: interview for oral history project
    PS5M7
    historian, Interviewing
    K6UPS000
    unspecified
    K6UPSUNK
    Unknown speaker, other
    K6UPSUGP
    Group of unknown speakers, other
  3707. 16457 words from Tarmac Construction Ltd: training session
    PS5M8
    no further information given
    K6VPSUNK
    Unknown speaker, other
    K6VPSUGP
    Group of unknown speakers, other
  3708. 16379 words from Nottingham Constabulary: meeting
    PS5M9
    47, Storer, no further information given
    PS5MA
    Collishan, no further information given
    PS5MB
    38, Jeffery, sergeant
    PS5MC
    38, Mills, sergeant
    PS5MD
    47, Stone, inspector
    PS5ME
    48, Williams, inspector
    PS5MF
    47, Wright, no further information given
    K6WPSUNK
    Unknown speaker, other
    K6WPSUGP
    Group of unknown speakers, other
  3709. 3382 words from Nottingham Constabulary: meeting
    PS5MJ
    47, Storer, no further information given
    PS5MK
    Collishan, no further information given
    PS5ML
    38, Jeffery, sergeant
    PS5MM
    38, Mills, sergeant
    PS5MN
    47, Stone, inspector
    PS5MP
    48, Williams, inspector
    PS5MS
    40, Hadfield, sergeant
    PS5MT
    47, Smith, sergeant
    K6XPSUNK
    Unknown speaker, other
    K6XPSUGP
    Group of unknown speakers, other
  3710. 15721 words from Friends Provident Insurance: training session
    PS5MU
    Joan, saleswoman
    PS5MV
    Robert, salesman
    PS5MW
    Bill, salesman
    PS5MX
    Ron, salesman
    PS5N0
    Maggie, instructor, no further information given
    PS5N1
    Martin, no further information given
    K6YPSUNK
    Unknown speaker, other
    K6YPSUGP
    Group of unknown speakers, other
  3711. 13588 words from Friends Provident Insurance: training session
    PS5N3
    Joan, saleswoman
    PS5N5
    Bill, salesman
    PS5N6
    Ron, salesman
    PS5N8
    Maggie, instructor, no further information given
    PS5N9
    Martin, no further information given
    PS5NA
    no further information given
    K70PSUNK
    Unknown speaker, other
    K70PSUGP
    Group of unknown speakers, other
  3712. 11044 words from Friends Provident Insurance: training session
    PS5NB
    Joan, saleswoman
    PS5NC
    Robert, salesman
    PS5ND
    Bill, salesman
    PS5NE
    Ron, salesman
    PS5NF
    instructor, no further information given
    K71PSUNK
    Unknown speaker, other
    K71PSUGP
    Group of unknown speakers, other
  3713. 14006 words from Royal Courts: hearing
    PS5NN
    Green, solicitor
    PS5NP
    Saville, judge
    PS5NR
    Duffy, solicitor
    PS5NS
    court official
    K73PSUNK
    Unknown speaker, other
    K73PSUGP
    Group of unknown speakers, other
  3714. 12465 words from J
    PS5NT
    trainer, no further information given
    PS5NU
    Kenny, no further information given
    PS5NV
    Heidi, no further information given
    PS5NW
    Ray, no further information given
    PS5NX
    Alex, no further information given
    PS5NY
    Gary, no further information given
    PS5P0
    Ian, no further information given
    PS5P1
    Rachel, no further information given
    PS5P2
    Dee, no further information given
    K74PSUNK
    Unknown speaker, other
    K74PSUGP
    Group of unknown speakers, other
  3715. 9605 words from J
    PS5PA
    trainer, no further information given
    K75PS000
    unspecified
    K75PSUNK
    Unknown speaker, other
    K75PSUGP
    Group of unknown speakers, other
  3716. 9424 words from House of Lords: hearing
    PS5PB
    Motterstone, member of parliament, no further information given
    PS5PC
    Rippon, member of parliament
    PS5PD
    Macintosh, member of parliament
    PS5PE
    boyd-carpenter
    K76PSUNK
    Unknown speaker, other
    K76PSUGP
    Group of unknown speakers, other
  3717. 14009 words from House of Commons: hearing
    PS5PF
    no further information given
    PS5PG
    Ken, no further information given
    PS5PH
    Jimmy, no further information given
    PS5PJ
    David, no further information given
    PS5PK
    Peter, no further information given
    PS5PL
    Clifford, no further information given
    PS5PM
    Jane, no further information given
    PS5PN
    Appleby, no further information given
    PS5PP
    Adams, no further information given
    K77PSUNK
    Unknown speaker, other
    K77PSUGP
    Group of unknown speakers, other
  3718. 4311 words from Confederation of British Industries [presentation]
    PS5PS
    40, Sudhir, analyst
    PS5PT
    40, Richard, analyst
    K79PSUNK
    Unknown speaker, other
    K79PSUGP
    Group of unknown speakers, other
  3719. 4010 words from Oral history project: interview
    PS5PU
    54, Tommy, Interviewee
    PS5PV
    historian, Interviewer
  3720. 4010 words from Oral history project: interview
    PS5PW
    historian, Interviewer
    PS5PX
    81, George, retired lighthouse keeper, Interviewee
  3721. 6168 words from Tutorial lesson
    PS5PY
    50, John, tutor, tutor
    PS5R0
    16, Sarah, school student, student
  3722. 7072 words from Oral history project: interview
    PS5R1
    71, Thomas, retired baker, interviewee
    PS5R2
    historian, interviewer
  3723. 29330 words from Dying to meet you. Gill, B.M. Coronet Books London 1989 73-177
  3724. 39497 words from The green branch. Pargeter, Edith Warner Books London 1987 126-232
  3725. 35741 words from As the crow flies. Archer, Jeffrey Hodder & Stoughton Ltd Sevenoaks, Kent 1991 9-124
  3726. 43677 words from Capitalism since 1945. Harrison, John Glyn, Andrew Armstrong, Philip Blackwell Oxford 1991 115-230
  3727. 38611 words from Coffin in fashion. Butler, Gwendoline Fontana Press London 1990 61-221
  3728. 42940 words from UK financial institutions and markets. Pawlet, Michael Bentley, Patrick Winstone, David Macmillan Press Ltd London 1991 105-261
  3729. 43398 words from Governments, managers and industrial relations. Ferner, Anthony Blackwell Oxford 1988 1-92
  3730. 36021 words from Interpreting data: a first course in statistics Anderson, Alan J. B. Chapman & Hall London 1990 85-215
  3731. 37443 words from Network analysis and practice. Walton, A.K. C.U.P. Cambridge 1987 144-288
  3732. 39176 words from The price of glory: Verdun 1916. Horne, Alistair Penguin Books London 1993 125-226
  3733. 41346 words from An introduction to modern economics. Khan, Badhur Hardwick, Philip Langmead, John Longman Group UK Ltd Harlow 1990 287-405
  3734. 37847 words from English phonetics and phonology. Roach, Peter C.U.P. Cambridge 1983 75-193
  3735. 41924 words from Sales technique and management. Lancaster, G Jobber, D. Pitman Publishing London 1992 63-171
  3736. 42887 words from The house of the red slayer. Harding, Paul Headline Book Publishing plc London 1992 67-224
  3737. 20767 words from Community Care. u.p.
  3738. 324441 words from Liverpool Echo & Daily Post. Griffith, John Liverpool Daily Post & Echo Ltd Liverpool 1993
  3739. 9444 words from [Sainsbury's magazines] u.p.
  3740. 12710 words from JS Journal. J Sainsbury
  3741. 13076 words from JS Journal. J Sainsbury
  3742. 16249 words from Courtaulds News. u.p.
  3743. 16868 words from Courtaulds News. u.p.
  3744. 14844 words from Courtaulds News. u.p.
  3745. 5674 words from Courtaulds News. u.p.
  3746. 5079 words from ICI Chemicals & Polymers: Environmental Issues. u.p.
  3747. 4583 words from ICI Chemicals & Polymers: Environmental Issues. u.p.
  3748. 6194 words from ICI Chemicals & Polymers: Environmental Issues. u.p.
  3749. 22823 words from ICI Innovation. ICI
  3750. 11026 words from Q: The Quality Magazine of ICI Chemicals & Polymers. u.p.
  3751. 9707 words from Q: The Quality Magazine of ICI Chemicals & Polymers. ICI
  3752. 5199 words from What's Cooking. u.p.
  3753. 4019 words from What's Cooking. u.p.
  3754. 4760 words from What's Cooking. u.p.
  3755. 3988 words from CCG People staff newspaper. u.p.
  3756. 13276 words from [British Gas South Western leaflets] u.p.
  3757. 2602 words from National Library of Scotland -- newsletter. u.p.
  3758. 8211 words from National Library of Scotland -- newsletter. u.p.
  3759. 13869 words from Transport. u.p.
  3760. 12311 words from Transport. u.p.
  3761. 13740 words from [Unpublished school essays] u.p.
  3762. 2414 words from [Senior School welcome pack] u.p.
  3763. 2277 words from [School regulations and other papers] u.p.
  3764. 45328 words from [School essays on literature] u.p.
  3765. 8370 words from [Unpublished creative writing] u.p.
  3766. 5209 words from [School essays etc.] u.p.
  3767. 9254 words from Campus. Stirling University
  3768. 8756 words from [Scottish Christian Aid committee documents] u.p.
  3769. 3413 words from Medau News. The Medau Society UK 1980-88
  3770. 3594 words from Medau News. The Medau Society UK 1980-88
  3771. 3955 words from Medau News. The Medau Society UK 1980-88
  3772. 3073 words from Medau News. The Medau Society UK 1980-88
  3773. 3762 words from Medau News. The Medau Society UK 1980-88
  3774. 3612 words from Medau News. The Medau Society UK 1980-88
  3775. 3515 words from Medau News. The Medau Society UK 1980-88
  3776. 3628 words from Medau News. The Medau Society UK 1980-88
  3777. 3817 words from Medau News. The Medau Society UK 1980-88
  3778. 4173 words from Medau News. The Medau Society UK 1980-88
  3779. 3896 words from Medau News. The Medau Society UK 1980-88
  3780. 4624 words from Medau News. The Medau Society UK 1980-88
  3781. 28132 words from The Medau Society. u.p.
  3782. 4281 words from Will we ever learn. u.p.
  3783. 16414 words from [Personal letters home from an academic visiting China and Brazil] Leech, G [unpublished] 1977,1980
  3784. 4466 words from [Autobiographical notes written for the archives of the British Academy] Leech, Geoffrey u.p.
  3785. 2539 words from [Report to a sponsor on lecture tour of India] u.p. 1976
  3786. 14238 words from Christian Aid. u.p.
  3787. 8788 words from [Personal letters] u.p.
  3788. 3126 words from [Unpublished poems] u.p.
  3789. 3340 words from [Creative writing] u.p.
  3790. 1666 words from [Personal letters] u.p.
  3791. 4370 words from [Schoolchildren's creative writing] u.p.
  3792. 1901 words from [Creative writing -- poems] u.p.
  3793. 29347 words from [Schoolgirls' essays] u.p.
  3794. 42462 words from 19 conversations recorded by `Margaret' (PS002, R 522) between 13 and 16 March 1992 with 9 interlocutors
    PS002
    60, Margaret, retired, Lancashire, friend
    PS003
    50, Ena, farmer's wife, Welsh, neighbour
    PS004
    25, Philip, farmer's son, neighbour
    PS005
    40, Ida, shop assistant, Welsh, stranger
    PS006
    50, Bob, minister, London, visitor
    PS007
    79, Alan, retired (lecturer and missionary), self
    PS008
    40, John, moderator, Welsh, colleague
    PS009
    40, Gethyn, minister, Welsh, colleague
    PS00A
    60, Noel, minister, Welsh, colleague
    KB0PSUNK
    Unknown speaker, other
    KB0PSUGP
    Group of unknown speakers, other
  3795. 39285 words from 17 conversations recorded by `Albert' (PS01A, R 57) between 1 and 6 February 1992 with 9 interlocutors
    PS01A
    53, Albert, unemployed, Central Northern England, self
    PS01B
    47, June, forecourt attendant, Central Northern England, wife
    PS01C
    70, Ada, retired, Central Northern England, mother-in-law
    PS01D
    18, Corrinne, student, Central Northern England, daughter
    PS01E
    39, Colin, unemployed, Central Northern England, brother-in-law
    PS01F
    38, Karen, housewife, Central Northern England, sister-in-law
    PS01G
    5, Sasha, student, Central Northern England, niece
    PS01H
    67, Rose, retired, Central Northern England, aunt-in-law
    PS01J
    46+, None, shopkeeper, Scottish, stranger
    KB1PSUNK
    Unknown speaker, other
    KB1PSUGP
    Group of unknown speakers, other
  3796. 35089 words from 25 conversations recorded by `Alec' (PS01T, R 60) between 31 January and 7 February 1992 with 5 interlocutors
    PS01T
    68, Alec, retired, Central Northern England, self
    PS01U
    45, Ann, saleswoman, Central Northern England, friend
    PS01V
    63, Joyce, retired, Central Northern England, wife
    PS01W
    Joan, retired, Central Northern England, friend
    KB2PSUNK
    Unknown speaker, other
    KB2PSUGP
    Group of unknown speakers, other
  3797. 10492 words from 8 conversations recorded by `Alison' (PS147, R 72) between 30 January and 4 February 1992 with 4 interlocutors
    PS147
    43, Alison, housewife, Scottish, self
    PS148
    7, Grant, student (state primary), Scottish, son
    PS149
    53, Bob, deputy prison governor, Scottish, husband
    PS14A
    2, Annabel, student (private pre), Scottish, daughter
    KB3PSUNK
    Unknown speaker, other
    KB3PSUGP
    Group of unknown speakers, other
  3798. 828 words from 1 conversation recorded by `Alan2' (PS1CP, R 17) [dates unknown] with 5 interlocutors
    PS1CP
    55, Alan, driver, London, self
    PS1CR
    Mandy, London, ?
    PS1CS
    24, Darren, unemployed, London, son
    PS1CU
    Gary, London, ?
    PS1CV
    Tracey, ?
    KB4PSUNK
    Unknown speaker, other
    KB4PSUGP
    Group of unknown speakers, other
  3799. 5541 words from 11 conversations recorded by `Andrew' (PS028, R 502) on 30 May 1991 with 6 interlocutors
    PS028
    16, Andrew, student, London, self
    PS0Y5
    17, Suzanne, student, London, girlfriend
    PS0Y7
    46, Val, systems analyst, Northern England, mother
    PS0Y8
    17, John, student, London, friend
    PS0YA
    18, Sanjay, student, London, friend
    PS0YC
    18, Jon, student, London, friend
    KB5PSUNK
    Unknown speaker, other
    KB5PSUGP
    Group of unknown speakers, other
  3800. 12953 words from 8 conversations recorded by `Angela' (PS029, R 13) between 2 and 6 December 1991 with 7 interlocutors
    PS029
    29, Angela, out work (pt), Central South-west England, self
    PS02A
    25, Chris, engineer, Central South-west England, husband
    PS02B
    32, Angela, housewife, London, friend
    PS02C
    32, Angela, housewife, London, friend
    PS02D
    28, Zoe, housewife, Central South-west England, friend
    PS02E
    29, Sue, hairdresser, Central South-west England, friend
    PS02F
    3, Ben, student (state pre), son
    KB6PSUNK
    Unknown speaker, other
    KB6PSUGP
    Group of unknown speakers, other
  3801. 103997 words from 60 conversations recorded by `Ann' (PS02G, R 28) between 28 November and 5 December 1991 with 35 interlocutors
    PS02G
    46, Ann, team leader, North-east England, self
    PS02H
    33, Stuart, factory operative, East Anglia, partner
    PS02J
    45, Brian, paper-man, Northern England, stranger
    PS02K
    40, Jill, estate agent, East Anglia, stranger
    PS02L
    63, Jeanie, retired, Scottish, partner's mother
    PS02M
    40, Sue, care assistant, Scottish, stranger
    PS02N
    45, Shirley, publican, Midlands, friend
    PS02P
    50, Alan, Scottish, stranger
    PS02R
    Terry, Scottish, stranger
    PS02S
    46, Bob, publican, Central Midlands, friend
    PS02T
    50, Harry, friend
    PS02U
    60, John, retired (policeman), London, friend
    PS02V
    23, Martin, marketing person, Northern England, friend
    PS02X
    22, Helen, housewife, East Anglia, daughter
    PS02Y
    17, Jonathan, Youth Training Scheme trainee, East Anglia, son
    PS030
    19, Christian, process worker, colleague
    PS031
    2, Richard, pre-school, grandson
    PS032
    1, Anna Marie, pre-school, granddaughter
    PS033
    26, Bernie, building labourer, son-in-law
    PS036
    61, Bill, team leader, colleague
    PS037
    57, Jean, process worker, colleague
    PS038
    26, Steven, process worker, colleague
    PS039
    44, Deidre, senior team leader, colleague
    PS03A
    56, John, process worker, colleague
    PS03B
    50, Dawn, process worker, colleague
    PS03C
    27, Tina, team leader, East Anglia, colleague
    PS03D
    36, Val, Queen's counsel, colleague
    PS03F
    40, Trevor, process worker, colleague
    PS03H
    44, Brenda, friend
    PS03J
    21, Lynda, friend
    PS03K
    50, Neville, friend
    PS03M
    25, Maxine, process worker, Northern England, colleague
    PS03N
    36, Mervin, process worker, East Anglia, colleague
    PS03R
    Grace, ?
    PS6TB
    None, ?
  3802. 78798 words from 34 conversations recorded by `Ann2' (PS14B, R 601) on 3 April 1992 with 37 interlocutors
    PS14B
    53, Ann, registered childminder, Central Northern England, self
    PS14C
    57, James, charge nurse, North-east England, husband
    PS14D
    9, Rebecca, student, North-east England, friend
    PS14E
    8, Amy, student, North-east England, friend
    PS14F
    8, Matthew, student, North-east England, friend
    PS14H
    6, Richard, student, North-east England, friend
    PS14K
    6, Martin, student, Northern England, friend
    PS14L
    36, Dorothy, probation officer, Central Midlands, friend
    PS14M
    2, James, pre-school, North-east England, friend
    PS14N
    2, Bryony, pre-school, North-east England, friend
    PS14P
    2, Richard, pre-school, North-east England, friend
    PS14R
    53, Isabelle, shop assistant, North-east England, neighbour
    PS15B
    10, Sally, student, North-east England, friend
    PS15C
    37, Andrea, teacher, North-east England, friend
    PS15D
    35+, Sid, teacher, North-east England, friend
    PS15G
    42, Marilyn, secretary, Northern England, friend
    PS15S
    55, Bill, clerk to town council, North-east England, friend
    PS15U
    58, Betty, housewife, North-east England, friend
    PS15V
    27, Paul, unemployed, North-east England, friend
    PS166
    38, Jackie, clerical officer, North-east England, neighbour
    PS167
    39, Pat, shop assistant, North-east England, husband's niece
    PS168
    9, Chris, student, North-east England, husband's great-niece
    PS169
    86, Margaret, retired, North-east England, mother-in-law
    PS16F
    7, Erin, student, North-east England, friend
    PS16G
    32, Kathy, housewife, Northern England, friend
    PS16H
    6, Martin, student, North-east England, friend
    PS16S
    None, ?
    PS172
    Evelyn, ?
    PS17G
    30, Maggie, childminder, Northern England, friend
    PS17L
    70, Arthur, retired, Northern England, neighbour
    PS17M
    70, Tom, retired, Irish, neighbour
    PS17N
    35, Rosie, childminder, Northern England, friend
    PS17S
    60, Alan, baker, North-east England, acquaintance
    PS18D
    29, Louise, housewife, North-east England, friend
    PS50S
    35, Jean, housewife, Northern England, acquaintance
    PS6NU
    24, Alison, housewife, Northern England, neighbour
    KB8PSUNK
    Unknown speaker, other
    KB8PSUGP
    Group of unknown speakers, other
  3803. 31762 words from 44 conversations recorded by `Annette' (PS1CX, R 62) between 1 and ?? February 1992 with 6 interlocutors
    PS1CX
    44, Annette, administrative assistant, Lancashire, self
    PS1CY
    19, Teresa, stable hand, Lancashire, daughter
    PS1D0
    26, David, engineer, Lancashire, son-in-law
    PS1D1
    24, Tracy, housewife, Lancashire, daughter
    PS1D2
    71, Donald, retired, Northern England, father
    PS1KS
    48+, Pat, Lancashire, neighbour
    KB9PSUNK
    Unknown speaker, other
    KB9PSUGP
    Group of unknown speakers, other
  3804. 5272 words from 17 conversations recorded by `Anthony' (PS1DA, R 11) between 30 November and 4 December 1991 with 8 interlocutors
    KBAPS000
    None, ?
    PS1DA
    62, Anthony, retired, Central South-west England, self
    PS1DB
    61, Chris, housewife, Central South-west England, wife
    PS1DC
    26, Chris, warehouse op, Central South-west England, son
    PS1DD
    31, Kevin, warehouse op, Central South-west England, son-in-law
    PS1DE
    20, Dave, warehouse op, Merseyside, friend
    PS1DF
    30, Achmed, warehouse op, Indian Subcontinent, friend
    PS1DG
    24, Janet, housewife, Central South-west England, daughter-in-law
    KBAPSUNK
    Unknown speaker, other
    KBAPSUGP
    Group of unknown speakers, other
  3805. 76309 words from 41 conversations recorded by `Arthur' (PS03S, R 2) between 10 and 13 January 1992 with 7 interlocutors
    PS03S
    82, Arthur, retired (precision engineer), Central Midlands, self
    PS03T
    75, Evelyn, retired, Central Midlands, wife
    PS03U
    54, Tom, draughtsman, London, friend
    PS03V
    51, Jackie, catering supervisor, Central Midlands, friend
    PS0YX
    75, Les, retired, Central Midlands, friend
    PS0YY
    73, Kath, retired, Central Midlands, sister
    PS100
    73, Vince, retired, North-east England, brother-in-law
    KBBPSUNK
    Unknown speaker, other
    KBBPSUGP
    Group of unknown speakers, other
  3806. 31337 words from 14 conversations recorded by `Audrey' (PS1A9, R 606) between 2 and 9 April 1992 with 9 interlocutors
    PS1A9
    61, Audrey, housewife, Lancashire, self
    PS1AA
    61, Gordon, teacher, Lancashire, husband
    PS1AB
    45, Margaret, nurse, Lancashire, friend
    PS1AC
    50+, Joan, clerk, Central Northern England, acquaintance
    PS1AD
    29, Kevin, computer engineer, Northern England, son-in-law
    PS1AE
    31, Carl, pharmacist, Northern England, son
    PS1AF
    None, ?
    PS1AG
    28, Elaine, housewife, Northern England, daughter
    PS1AH
    60, Iris, housewife, Lancashire, cousin
    KBCPSUNK
    Unknown speaker, other
    KBCPSUGP
    Group of unknown speakers, other
  3807. 58087 words from 24 conversations recorded by `Barry' (PS03W, R 66) between 1 and 6 February 1992 with 10 interlocutors
    PS03W
    41, Barry, entertainments consultant, Central Northern England, self
    PS03X
    35, Terri, bar staff, Home Counties, employee
    PS03Y
    30, Hugh, bar staff, Irish, employee
    PS040
    38, Alan, security, Lancashire, employee
    PS041
    None, ?
    PS042
    30, Mark, dj, London, employee
    PS043
    30, Ken, security, Lancashire, employee
    PS044
    35, None, housewife, Lancashire, employee's wife
    PS045
    9, Sergio, student (state primary), Lancashire, son
    KBDPSUNK
    Unknown speaker, other
    KBDPSUGP
    Group of unknown speakers, other
  3808. 62321 words from 27 conversations recorded by `Betty' (PS04B, R 9) between 28 November and ?? December 1991 with 9 interlocutors
    PS04B
    57, Betty, housewife, Central South-west England, self
    PS04C
    76, Googie, housewife, Central South-west England, friend
    PS04D
    64, Rose, housewife, Central South-west England, friend
    PS04E
    33, Wendy, housewife, Central South-west England, friend
    PS04F
    25, Julie, production worker, Central South-west England, friend
    PS04G
    32, Maggie, shop assistant, Central South-west England, neighbour
    PS04H
    23, Sally, production worker, Central South-west England, daughter
    PS04J
    55, David, disabled unemployed, Central South-west England, husband
    PS04K
    76, Edna, housewife, Central South-west England, friend
    KBEPSUNK
    Unknown speaker, other
    KBEPSUGP
    Group of unknown speakers, other
  3809. 105262 words from 103 conversations recorded by `Brenda' (PS04U, R 22) between 28 November and 4 December 1991 with 6 interlocutors
    PS04U
    34, Brenda, housewife, London, self
    PS04V
    37, Dave, hgv driver, London, husband
    PS04W
    15, Lee, student (state secondary), London, son
    PS04X
    11, Carla, student (state primary), London, daughter
    PS04Y
    62, Jean, housewife, Home Counties, friend
    PS050
    23, Nigel, plumber, London, plumber
    KBFPSUNK
    Unknown speaker, other
    KBFPSUGP
    Group of unknown speakers, other
  3810. 28812 words from 10 conversations recorded by `Carl' (PS051, R 104) between 21 and 27 February 1992 with 9 interlocutors
    PS051
    34, Carl, teacher, North-east England, self
    PS052
    33, Susan, teacher (pt), Home Counties, wife
    PS053
    4, Christopher, pre-school, son
    PS054
    1, Rebecca, pre-school, daughter
    PS055
    7, Andrew, student (primary), son
    PS056
    9, Robert, student (secondary), son
    PS057
    58, Peter, lorry driver, East Anglia, neighbour
    PS058
    65, Alan, retired, East Anglia, neighbour
    PS059
    62, Pat, retired, Home Counties, father-in-law
    KBGPSUNK
    Unknown speaker, other
    KBGPSUGP
    Group of unknown speakers, other
  3811. 47995 words from 63 conversations recorded by `Carol' (PS05B, R 104) between 30 May and 5 June 1991 with 8 interlocutors
    PS05B
    36, Carole, administrator (pt), Home Counties, self
    PS05C
    18, Joelle, au pair, European (French), employee
    PS05D
    36, Adam, textile agent, Home Counties, husband
    PS05E
    2, Charlotte, pre-school, daughter
    PS05F
    30+, Pauline, shop owner, Home Counties, friend
    PS05H
    60+, Ron, retired, Home Counties, father
    PS05J
    60+, Pat, retired, Home Counties, mother
    PS05K
    5, Toby, nephew
    KBHPSUNK
    Unknown speaker, other
    KBHPSUGP
    Group of unknown speakers, other
  3812. 11137 words from 26 conversations recorded by `Carol2' (PS1DP, R 12) between 10 and 17 January 1992 with 6 interlocutors
    PS1DP
    44, Carol, courier, Central Midlands, self
    PS1DR
    11, Emma, student (state secondary), Central Midlands, daughter
    PS1DS
    47, Chris, area organiser for union, Central Midlands, husband
    PS1DT
    34, Dave, miner, Central Midlands, friend
    PS1DU
    26, Ann, hairdresser, Central Midlands, friend
    PS1DV
    11, Adele, schoolgirl, Central Midlands, daughter's friend
    KBJPSUNK
    Unknown speaker, other
    KBJPSUGP
    Group of unknown speakers, other
  3813. 53920 words from 228 conversations recorded by `Chris' (PS05X, R 500) between 31 May and 1 June 1991 with 8 interlocutors
    PS05X
    51, Chris, export merchant, Home Counties, self
    PS101
    54, Norrine, teacher, London, wife
    PS102
    44, Lynda, export assistant, London, colleague
    PS103
    30, Susan, cleaner, London, employee
    PS104
    30+, Bill, plastics company director, London, neighbour
    PS106
    60+, Tony, retired, London, neighbour
    PS107
    45, David, property manager, London, neighbour
    PS108
    60+, Evelyn, retired, London, stranger
    KBKPSUNK
    Unknown speaker, other
    KBKPSUGP
    Group of unknown speakers, other
  3814. 27294 words from 40 conversations recorded by `Cherrilyn' (PS06A, R 115) between 21 and 26 February 1992 with 9 interlocutors
    PS06A
    43, Cherrilyn, nursing auxiliary, Lower South-west England, self
    PS06B
    13, Jessica, student (state secondary), Lower South-west England, daughter
    PS06C
    None, ?
    PS06D
    21, Sophie, student, Lower South-west England, daughter
    PS06E
    12, Kate, student, Lower South-west England, friend
    PS06F
    43, Brian, mortgage broker, Lower South-west England, husband
    PS06G
    33, Fiona, matron of nursing home, Central South-west England, colleague
    PS06H
    16, Lorraine, care assistant, Home Counties, colleague
    PS06J
    70, None, Lower South-west England, stranger
    KBLPSUNK
    Unknown speaker, other
    KBLPSUGP
    Group of unknown speakers, other
  3815. 19723 words from 13 conversations recorded by `Chris2' (PS1BL, R 607) on 2 April 1992 with 7 interlocutors
    PS1BL
    15, Chris, student, North-west Midlands, self
    PS1BM
    45, Lynne, bookkeeper, North-west Midlands, mother
    PS1BN
    16, David, student, North-west Midlands, friend
    PS1BP
    16, Steven, student, North-west Midlands, friend
    PS1BR
    15, Simon, student, North-west Midlands, friend
    PS6P6
    16, Rhiannon, student, North-west Midlands, girlfriend
    PS6P7
    48, Robert, tax inspector, North-west Midlands, father
    KBMPSUNK
    Unknown speaker, other
    KBMPSUGP
    Group of unknown speakers, other
  3816. 10609 words from 18 conversations recorded by `Clare' (PS05Y, R 513) between 12 and 15 March 1992 with 6 interlocutors
    PS05Y
    15, Clare, student, Welsh, self
    PS060
    16, Melissa, student, Welsh, friend
    PS061
    52, William, carpenter, Welsh, father
    PS062
    9, Kim, student, Welsh, niece
    PS063
    29, Helen, housewife, Welsh, sister
    PS064
    50, Marilyn, housewife, Welsh, mother
    KBNPSUNK
    Unknown speaker, other
    KBNPSUGP
    Group of unknown speakers, other
  3817. 27179 words from 15 conversations recorded by `Clarence' (PS065, R 511) between 13 and 19 March 1992 with 4 interlocutors
    PS065
    65, Clarence, retired, Lancashire, self
    PS066
    67, Nina, retired, Lancashire, wife
    PS067
    72, Nev, retired, North-east Midlands, brother-in-law
    PS068
    70, Lil, retired, Lancashire, sister-in-law
    KBPPSUNK
    Unknown speaker, other
    KBPPSUGP
    Group of unknown speakers, other
  3818. 11864 words from 26 conversations recorded by `Colin' (PS069, R 110) between 20 and 26 February 1991 with 5 interlocutors
    PS069
    Colin, British Rail employee, Home Counties, self
    PS10D
    Sheila, housekeeper, Home Counties, wife
    PS10E
    Nigel, electrician, Home Counties, friend
    PS10F
    Neil, unemployed, Home Counties, son
    PS10G
    Joanne, Home Counties, daughter
    KBRPSUNK
    Unknown speaker, other
    KBRPSUGP
    Group of unknown speakers, other
  3819. 6972 words from 12 conversations recorded by `Dad' (PS079, R 31) [dates unknown] with 5 interlocutors
    PS079
    79, Dad, retired, Upper South-west England, self
    PS07A
    81, Mum, retired, Upper South-west England, wife
    PS07B
    50, Dorreen, housekeeper, Midlands, housekeeper
    PS07C
    30, Jane, hairdresser, Midlands, hairdresser
    PS07D
    8, Adam, student, Midlands, hairdresser's son
    KBSPSUNK
    Unknown speaker, other
    KBSPSUGP
    Group of unknown speakers, other
  3820. 2910 words from 4 conversations recorded by `Dean' (PS07E, R 58) on 1 February 1992 with 5 interlocutors
    PS07E
    32, Dean, miner chargehand, Central Northern England, self
    PS07F
    40, John, unemployed, Central Northern England, friend
    PS07G
    28, David, unemployed, Central Northern England, friend
    PS07H
    38, Michael, sales representative, Central Northern England, friend
    PS07J
    37, Eddie, lorry driver, Central Northern England, friend
    KBTPSUNK
    Unknown speaker, other
    KBTPSUGP
    Group of unknown speakers, other
  3821. 11022 words from 2 conversations recorded by `Denise' (PS18E, R 604) between 6 and 7 April 1992 with 8 interlocutors
    PS18E
    25, Denise, student nurse, Central Northern England, self
    PS18H
    None, ?
    PS18J
    None, ?
    PS18K
    None, ?
    PS18L
    None, ?
    PS18M
    None, ?
    PS18N
    None, ?
    KBUPSUNK
    Unknown speaker, other
    KBUPSUGP
    Group of unknown speakers, other
  3822. 4916 words from 19 conversations recorded by `Donald' (PS07K, R 1) between 13 and 20 March 1992 with 6 interlocutors
    PS07K
    33, Donald, telecommunication technician, North-west Midlands, self
    PS07L
    32, Karen, housewife, North-east Midlands, wife
    PS07M
    6, Luke, student, North-east Midlands, son
    PS07N
    10, Gary, student, North-east Midlands, son
    PS07P
    1, Marie, pre-school, North-east Midlands, daughter
    KBVPSUNK
    Unknown speaker, other
    KBVPSUGP
    Group of unknown speakers, other
  3823. 115332 words from 62 conversations recorded by `Dorothy' (PS087, R 3) between 13 and 20 March 1992 with 25 interlocutors
    PS087
    34, Dorothy, teacher (pt), North-west Midlands, self
    PS088
    3, Tim, student (private pre), North-east Midlands, son
    PS089
    5, Christopher, student (state primary), North-east Midlands, son
    PS08A
    36, Andrew, purchasing manager, North-east Midlands, husband
    PS08B
    14, Elinor, student, North-east Midlands, babysitter
    PS08C
    40, Jane, housewife, North-east Midlands, friend
    PS08D
    38, Diane, housewife, North-east Midlands, friend
    PS08P
    40, Sue, teacher, North-east Midlands, friend
    PS08S
    60+, Margaret, retired, North-east Midlands, stranger
    PS08T
    45, Roger, teacher, friend
    PS08U
    60, June, teacher, Canadian, acquaintance
    PS08V
    60, Jean, retired, North-east Midlands, friend
    PS08W
    40, None, secretary, North-east Midlands, acquaintance
    PS0XJ
    24, Jane, teacher, North-east Midlands, friend
    PS0XK
    30, Dawn, housewife, North-east Midlands, friend
    PS0XL
    30+, Yvonne, housewife, North-east Midlands, friend
    PS0XM
    30+, Pat, teacher, friend
    PS0XN
    50, Gwen, teacher/nursery owner, North-east Midlands, friend
    PS0XP
    40, Lily, nursery assistant, North-east Midlands, acquaintance
    PS0XR
    70, Marjorie, retired, North-west Midlands, mother
    PS0XS
    35, Ann, teacher, son's teacher
    PS0XU
    50, Rosemary, housewife, Home Counties, friend
    PS0XV
    45, Mary, drawing plans, North-east Midlands, friend
    PS0Y4
    None, teacher, Home Counties, son's teacher
    KBWPSUNK
    Unknown speaker, other
    KBWPSUGP
    Group of unknown speakers, other
  3824. 28273 words from 11 conversations recorded by `Donald2' (PS1DW, R 43) between 17 and 10 January 1992 with 6 interlocutors
    KBXPS000
    None, North-west Midlands, ?
    KBXPS001
    None, North-west Midlands, ?
    PS1DW
    56, Donald, taxi driver, North-west Midlands, self
    PS1DX
    60, Anna, housewife, European (Russian), friend
    PS1DY
    60, Mary, housewife, European (Russian), friend
    PS1E0
    50, Barry, North-west Midlands, friend
    KBXPSUNK
    Unknown speaker, other
    KBXPSUGP
    Group of unknown speakers, other
  3825. 6316 words from 11 conversations recorded by `Elizabeth' (PS08X, R 42) between 11 and 17 January 1992 with 5 interlocutors
    PS08X
    19, Elizabeth, student, North-west Midlands, self
    PS10H
    18, None, student, North-west Midlands, stranger
    PS10K
    23, Matthew, manager, North-west Midlands, brother
    PS10L
    48, Anne, clerk (pt), North-west Midlands, mother
    PS10M
    53, Mike, computer operator, North-west Midlands, father
    KBYPSUNK
    Unknown speaker, other
    KBYPSUGP
    Group of unknown speakers, other
  3826. 45900 words from 14 conversations recorded by `Enid' (PS08Y, R 103) between 21 and 27 February 1992 with 10 interlocutors
    PS08Y
    70, Enid, housewife, London, self
    PS090
    79, Noel, retired (master organ builder), London, husband
    PS091
    89, Mollie, retired (musician), London, friend
    PS092
    62, Ann, retired (teacher), friend
    PS093
    40, John, butcher, East Anglia, friend
    PS094
    46, Pam, shop assistant, East Anglia, friend
    PS095
    95, Stanley, retired (farmer), East Anglia, friend
    PS096
    50, Patsy, computer programmer, friend
    PS097
    34, Ian, advertising executive, friend
    KC0PSUNK
    Unknown speaker, other
    KC0PSUGP
    Group of unknown speakers, other
  3827. 20607 words from 32 conversations recorded by `Frank' (PS09E, R 116) between 21 and 28 February 1992 with 9 interlocutors
    PS09E
    50, Frank, tv engineer, Central South-west England, self
    PS09F
    48, Lyn, housewife, Lower South-west England, wife
    PS09G
    44, Steve, salesman, London, colleague
    PS09H
    46, Gerry, tv dealer, Central South-west England, customer
    PS09K
    60, Rex, tv dealer, Lower South-west England, customer
    PS09L
    58, Marge, tv dealer, Lower South-west England, customer
    PS09M
    4, Jonny, pre-school, Lower South-west England, son
    PS09N
    55, Brian, salesman, London, friend
    KC1PSUNK
    Unknown speaker, other
    KC1PSUGP
    Group of unknown speakers, other
  3828. 44626 words from 28 conversations recorded by `Fred' (PS09T, R 504) between 13 and 20 March 1992 with 9 interlocutors
    PS09T
    77, Fred, retired, North-east Midlands, self
    PS09U
    71, Florence, retired, North-east Midlands, wife
    PS09V
    41, David, painter/decorator, North-east Midlands, son
    PS09W
    32, Clive, unemployed, North-east Midlands, son-in-law
    PS09X
    36, Marjorie, housewife, North-east Midlands, daughter
    PS09Y
    11, Gemma, student, North-east Midlands, granddaughter
    PS0A0
    37, Steven, office manager, North-east Midlands, son
    PS0A1
    7, Emily, student, North-east Midlands, granddaughter
    PS0A2
    39, Sandra, housewife, North-east Midlands, daughter-in-law
    KC2PSUNK
    Unknown speaker, other
    KC2PSUGP
    Group of unknown speakers, other
  3829. 36931 words from 15 conversations recorded by `Frederick' (PS0A8, R 11) between 10 and 15 January 1992 with 10 interlocutors
    PS0A8
    66, Frederick, retired (social worker), Central Midlands, self
    PS0A9
    49, Janet, health visitor, Central Midlands, friend
    PS0AA
    49, Peter, chemist, Home Counties, friend
    PS0AB
    68, Joan, housewife, Central Midlands, friend
    PS0AC
    40, Vicki, teacher, South Midlands, friend
    PS0AD
    15, Heidi, schoolgirl, Central Midlands, friend
    PS0AE
    40, Yvonne, clerk, Central Midlands, colleague
    PS0AF
    30, Trish, physiotherapist, Central Midlands, colleague
    PS0AG
    61, Eileen, cleaner, Irish, colleague
    KC3PSUNK
    Unknown speaker, other
    KC3PSUGP
    Group of unknown speakers, other
  3830. 23715 words from 25 conversations recorded by `Fred2' (PS1E4, R 333) between 31 May and 5 June 1991 with 9 interlocutors
    PS1E4
    78, Fred, retired, North-west Midlands, self
    PS1E5
    None, ?
    PS1E6
    None, ?
    PS1E7
    None, ?
    PS1E8
    None, ?
    PS1E9
    None, ?
    PS1EA
    None, ?
    PS1EB
    None, ?
    PS1EC
    None, ?
    KC4PSUNK
    Unknown speaker, other
    KC4PSUGP
    Group of unknown speakers, other
  3831. 22248 words from 16 conversations recorded by `Gail' (PS0AJ, R 10) between 2 and 4 December 1991 with 9 interlocutors
    PS0AJ
    30, Gail, housewife, Central South-west England, self
    PS0AK
    None, ?
    PS0AL
    28, Alison, housewife, Central South-west England, friend
    PS0AM
    None, ?
    PS0AN
    7, Natalie, student (state primary), Central South-west England, daughter
    PS0AP
    None, ?
    PS0AR
    None, ?
    PS0AS
    None, ?
    PS0AT
    None, ?
    KC5PSUNK
    Unknown speaker, other
    KC5PSUGP
    Group of unknown speakers, other
  3832. 14962 words from 25 conversations recorded by `Gavin' (PS0BA, R 33) between 11 and 17 January 1992 with 10 interlocutors
    PS0BA
    25, Gavin, photographer, Merseyside, self
    PS0BB
    24, Sue, sales assistant, Central Northern England, fiancée
    PS0BC
    24, Richard, journalist, Midlands, colleague
    PS0BD
    26, Terry, hairdresser, Central Northern England, friend
    PS0BE
    24, Lindsey, hairdresser, Central Northern England, friend
    PS0BF
    23, Saranne, journalist, Midlands, colleague
    PS0BG
    25, Adrian, journalist, Central Midlands, colleague
    PS0BH
    25, Steve, journalist, Midlands, colleague
    PS0BJ
    20, Nick, office junior, Midlands, colleague
    KC6PSUNK
    Unknown speaker, other
    KC6PSUGP
    Group of unknown speakers, other
  3833. 15279 words from 7 conversations recorded by `Gill' (PS0BK, R 32) on 15 January 1992 with 5 interlocutors
    PS0BK
    21, Gill, waitress, Home Counties, self
    PS0BL
    22, Jemma, unemployed, Home Counties, friend
    PS0BS
    18, Nancy, business student, London, friend
    PS0BT
    21, Jim, student, Home Counties, friend
    KC7PSUNK
    Unknown speaker, other
    KC7PSUGP
    Group of unknown speakers, other
  3834. 18878 words from 11 conversations recorded by `Gillian' (PS0BY, R 29) between 29 November and 6 December 1991 with 6 interlocutors
    PS0BY
    32, Gillian, housewife, East Anglia, self
    PS0C1
    34, Robert, computer programmer, East Anglia, husband
    PS0C4
    None, ?
    PS0C5
    60, Dennis, retired, London, friend
    PS0C6
    61, Iris, retired, London, friend
    PS0C7
    40+, Bonnie, housewife, East Anglia, friend
    KC8PSUNK
    Unknown speaker, other
    KC8PSUGP
    Group of unknown speakers, other
  3835. 55039 words from 46 conversations recorded by `Ginny' (PS0CG, R 20) between 28 November and 6 December 1991 with 9 interlocutors
    PS0CG
    65, Ginny, housewife, North-east Midlands, self
    PS0CH
    63, Keith, design engineer, London, husband
    PS0CJ
    25, Dinda, customs controller, Home Counties, daughter
    PS0CK
    40+, Vicky, shop assistant, London, friend
    PS0CL
    None, ?
    PS0CM
    Jackie, shop assistant, acquaintance
    PS0CN
    50, Turan, hair salon owner, Turkish, friend
    PS0CP
    None, ?
    PS0CR
    None, ?
    KC9PSUNK
    Unknown speaker, other
    KC9PSUGP
    Group of unknown speakers, other
  3836. 21431 words from 22 conversations recorded by `Gordon' (PS0DL, R 24) between 10 and 13 January 1992 with 8 interlocutors
    PS0DL
    32, Gordon, unemployed, Welsh, self
    PS0DM
    29, Debbie, housewife, Welsh, wife
    PS0DN
    29, Hayley, housewife, Welsh, cousin
    PS0DP
    32, Lyn, housewife, Welsh, friend
    PS0DR
    56, Tom, factory worker, Welsh, friend
    PS0DT
    6, Sean, student (state primary), Welsh, son
    PS0DU
    3, Kirsty, student (state pre), Welsh, daughter
    KCAPSUNK
    Unknown speaker, other
    KCAPSUGP
    Group of unknown speakers, other
  3837. 15326 words from 13 conversations recorded by `Graeme' (PS0DX, R 122) between 22 and 26 February 1992 with 7 interlocutors
    PS0DX
    62, Graeme, company secretary, New Zealand, self
    PS0DY
    58, Ann, housewife, wife
    PS0E2
    23, Sarah, sales representative, daughter
    PS0E3
    25, Antony, car salesman, son-in-law
    PS0E4
    60+, Joyce, housewife, friend
    PS0E5
    53, Hazel, coffee shop assistant, friend
    PS0E6
    57, Zara, coffee shop owner, friend
    KCBPSUNK
    Unknown speaker, other
    KCBPSUGP
    Group of unknown speakers, other
  3838. 5311 words from 2 conversations recorded by `Hazel' (PS0F5, R 23) on 11 January 1992 with 2 interlocutors
    PS0F5
    39, Hazel, vdu clerk (pt), Welsh, self
    PS0F6
    7, Cerys, schoolgirl (state primary), Welsh, daughter
    PS0F7
    66, Marie, housewife, Welsh, mother-in-law
    KCCPSUNK
    Unknown speaker, other
    KCCPSUGP
    Group of unknown speakers, other
  3839. 33104 words from 107 conversations recorded by `Helen' (PS0E8, R 501) between 31 May and 1 June 1991 with 7 interlocutors
    PS0E8
    40, Helen, laboratory technician, Home Counties, self
    PS0E9
    11, Clare, student (state primary), Home Counties, daughter
    PS0EA
    7, Amy, student (state primary), Home Counties, daughter
    PS1KL
    None, ?
    PS6ST
    None, ?
    PS6T9
    None, ?
    PS6TA
    None, ?
    KCDPSUNK
    Unknown speaker, other
    KCDPSUGP
    Group of unknown speakers, other
  3840. 50776 words from 24 conversations recorded by `Helena' (PS0EB, R 2) between 12 and 20 March 1992 with 9 interlocutors
    PS0EB
    16, Helena, student, North-east Midlands, self
    PS0EC
    16, Emma, student, Upper South-west England, friend
    PS0ED
    41, Sheila, driving instructor, North-east Midlands, mother
    PS0EE
    17, David, student, North-east Midlands, brother
    PS0EF
    13, Joanne, student, Upper South-west England, friend
    PS0EG
    18, Andy, insurance clerk, Upper South-west England, friend
    PS0EH
    19, Scott, student, Upper South-west England, friend
    PS0EJ
    18, mark/shrimpy, spring inspector, Upper South-west England, friend
    PS0EK
    16, Susan, student, Upper South-west England, friend
    KCEPSUNK
    Unknown speaker, other
    KCEPSUGP
    Group of unknown speakers, other
  3841. 21898 words from 30 conversations recorded by `Herbert' (PS1EM, R 521) between 13 and 19 March 1992 with 9 interlocutors
    PS1EM
    56, Herbert, landscape gardener, Welsh, husband
    PS1EN
    54, Iris, home care assistant, Welsh, self
    PS1EP
    21, Alison, landscape gardener, Welsh, daughter
    PS1ER
    22, Stuart, hairdresser, Welsh, daughter's boyfriend
    PS1ES
    72, Gordon, retired, Welsh, friend
    PS1ET
    76, Mary, housewife, Welsh, mother
    PS1EU
    40, Mike, driver, Welsh, friend
    PS1EV
    80, Sally, retired, Welsh, friend
    PS1EW
    72, Eddie, retired, Welsh, friend
    KCFPSUNK
    Unknown speaker, other
    KCFPSUGP
    Group of unknown speakers, other
  3842. 28227 words from 20 conversations recorded by `Jane' (PS19L, R 609) between 2 and 9 April 1992 with 10 interlocutors
    PS19L
    33, Jane, housewife, North-west Midlands, self
    PS19M
    38, John, hgv driver, North-west Midlands, husband
    PS19N
    7, Stacey, student (state primary), North-west Midlands, daughter
    PS19P
    41, Chris, barmaid, North-west Midlands, sister-in-law
    PS19R
    65+, Madge, housewife, North-west Midlands, sister-in-law's mother
    PS19S
    65+, Margaret, housewife, North-west Midlands, friend
    PS19T
    65+, Bill, retired, North-west Midlands, sister-in-law's father
    PS19U
    30, Lynn, housewife, North-west Midlands, friend
    PS19V
    64, Mary, housewife, North-west Midlands, mother-in-law
    KCGPSUNK
    Unknown speaker, other
    KCGPSUGP
    Group of unknown speakers, other
  3843. 37385 words from 19 conversations recorded by `Jane2' (PS1BS, R 622) between 4 and 10 April 1992 with 7 interlocutors
    PS1BS
    40, Jane, optician/student, Humberside, self
    PS1BT
    46, Phillip, chartered engineer, Humberside, husband
    PS1BU
    9, Christopher, student (state primary), Humberside, son
    PS1BV
    6, David, student (state primary), Humberside, son
    PS1BW
    27, Julie, administrative officer, Central Northern England, babysitter
    PS1BX
    24, Susan, teacher, Central Northern England, child's teacher
    PS6R1
    42, Janet, clerk, Central Northern England, colleague
    KCHPSUNK
    Unknown speaker, other
    KCHPSUGP
    Group of unknown speakers, other
  3844. 12719 words from 2 conversations recorded by `James' (PS1C7, R 614) between 3 and 6 April 1992 with 2 interlocutors
    PS1C7
    63, James, retired, North-east England, self
    PS1C8
    72, Patricia, housewife, North-east England, friend
    PS1C9
    30, Margaret, housewife, North-east England, daughter
    KCJPSUNK
    Unknown speaker, other
    KCJPSUGP
    Group of unknown speakers, other
  3845. 9080 words from 12 conversations recorded by `Jean' (PS1AT, R 608) between 3 and 10 April 1992 with 8 interlocutors
    PS1AT
    39, Jean, teacher, North-west Midlands, self
    PS1AU
    None, ?
    PS1AV
    None, ?
    PS1AW
    None, ?
    PS1AX
    None, ?
    PS1AY
    None, ?
    PS1B2
    6, Niall, student (state primary), North-west Midlands, son
    KCKPSUNK
    Unknown speaker, other
    KCKPSUGP
    Group of unknown speakers, other
  3846. 32729 words from 32 conversations recorded by `John' (PS0F8, R 4) between 14 and ?? March 1992 with 6 interlocutors
    PS0F8
    53, John, engineer, self
    PS0F9
    39, Mary, nurse, Irish, wife
    PS0FA
    18, Brian, apprentice engineer, son
    PS0FB
    16, Patricia, student, daughter
    PS0FC
    25, Ded, cashier, West Midlands, daughter
    PS0FD
    40, Lyn, housewife, West Midlands, friend
    KCLPSUNK
    Unknown speaker, other
    KCLPSUGP
    Group of unknown speakers, other
  3847. 7154 words from 11 conversations recorded by `Jonathan' (PS0FE, R 22) between 15 and 17 January 1992 with 8 interlocutors
    PS0FE
    17, Jonathan, care assistant, Welsh, self
    PS11J
    23, Corale, take-away worker, Welsh, sister
    PS11L
    7, Becky, student, Welsh, friend
    PS11M
    25, Philip, inspector, Welsh, brother
    PS11N
    23, Julie, factory worker, Welsh, sister-in-law
    PS11P
    3, Rachael, pre-school, Welsh, niece
    PS11R
    47, Jeff, panel beater, Welsh, father
    KCMPSUNK
    Unknown speaker, other
    KCMPSUGP
    Group of unknown speakers, other
  3848. 45451 words from 55 conversations recorded by `Josephine' (PS0FF, R 512) between 12 and 20 March 1992 with 8 interlocutors
    PS0FF
    54, Josephine, housewife, Welsh, self
    PS0FG
    84, Tina, retired, Welsh, mother
    PS0FH
    57, Danny, disabled unemployed, Welsh, husband
    PS0FJ
    32, Susan, housewife, Welsh, daughter
    PS0FK
    34, Steve, ship's captain, North-east Midlands, son-in-law
    PS0FL
    25, Mark, assistant manager, Welsh, son
    PS0FM
    9, Ricky, student, Welsh, grandson
    PS0FN
    30, Sally, housewife, Welsh, daughter
    KCNPSUNK
    Unknown speaker, other
    KCNPSUGP
    Group of unknown speakers, other
  3849. 77331 words from 26 conversations recorded by `Joy' (PS0GM, R 501) between 13 and 19 March 1992 with 9 interlocutors
    PS0GM
    46, Joy, housewife, South Midlands, self
    PS0GN
    75, Connie, housewife, Home Counties, mother
    PS0GP
    79, Norman, retired, Midlands, father
    PS0GR
    72, John, retired, North-east England, uncle
    PS0GS
    69, Ivy, retired, Home Counties, aunt
    PS0GT
    61, Rudy, warehouse manager, West Indian, husband
    PS0GU
    33, Wendy, housewife, Midlands, sister
    PS0GV
    36, Penny, clerk, Midlands, sister
    PS0GW
    29, Tracey, housewife, Midlands, daughter
    KCPPSUNK
    Unknown speaker, other
    KCPPSUGP
    Group of unknown speakers, other
  3850. 3696 words from 2 conversations recorded by `Joyce' (PS1CA, R 624) on 4 April 1992 with 4 interlocutors
    PS1CA
    43, Malcolm, retired (police officer), Central Northern England, self
    PS1CB
    43, Doreen, housewife, Central Northern England, sister-in-law
    PS1CC
    41, Judy, clerk, Central Northern England, wife
    PS1CD
    16, Joanne, student, Central Northern England, daughter
    KCRPSUNK
    Unknown speaker, other
    KCRPSUGP
    Group of unknown speakers, other
  3851. 23532 words from 15 conversations recorded by `John2' (PS1F1, R 63) between 30 January and 6 February 1992 with 8 interlocutors
    KCSPS000
    None, ?
    KCSPS001
    None, ?
    KCSPS002
    None, ?
    PS1F1
    68, John, retired (textile worker), Central Northern England, self
    PS1F2
    65, Joan, retired, Central Northern England, wife
    PS1F3
    63, Ken, retired, Lancashire, neighbour
    PS1F4
    65, Sid, retired, Lancashire, neighbour
    KCSPSUNK
    Unknown speaker, other
    KCSPSUGP
    Group of unknown speakers, other
  3852. 97005 words from 29 conversations recorded by `June' (PS0FP, R 30) between 29 November and 5 December 1991 with 17 interlocutors
    PS0FP
    40, June, dinner lady (pt), East Anglia, self
    PS0FR
    10, Jonathan, student (state primary), East Anglia, son
    PS0FS
    40, Geoffrey, chargehand, East Anglia, husband
    PS0FU
    30, Wendy, housewife, East Anglia, friend
    PS0FX
    40, Susan, dental nurse, East Anglia, sister
    PS0G0
    76, A., retired, East Anglia, mother-in-law
    PS0G1
    78, L., retired, East Anglia, father-in-law
    PS0G2
    70, Kathleen, retired, London, mother
    PS0G3
    67, Robert, retired, London, father
    PS0G4
    50, Brian, plumber, London, neighbour
    PS0G5
    47, Val, housewife, East Anglia, sister-in-law
    PS0G7
    23, Sarah, hairdresser, East Anglia, niece
    PS0G8
    44, Val, shopkeeper, London, stranger
    PS0G9
    43, Katt, unemployed, London, friend
    PS0GA
    47, Sue, housewife, East Anglia, friend
    PS0GE
    10, Ashley, student, East Anglia, son's friend
    KCTPSUNK
    Unknown speaker, other
    KCTPSUGP
    Group of unknown speakers, other
  3853. 49751 words from 9 conversations recorded by `Julie' (PS0GF, R 114) between 20 and 22 February 1992 with 6 interlocutors
    PS0GF
    24, Julie, housewife, Lower South-west England, self
    PS0GG
    25, Gary, storesperson, Lower South-west England, husband
    PS0GH
    2, Vicki, pre-school, Lower South-west England, daughter
    PS0GJ
    20, Shelly, housewife, Lower South-west England, cousin-in-law's wife
    PS0GK
    25, Phil, cold store worker, Lower South-west England, cousin-in-law
    PS0GL
    4, Sammy, pre-school, Lower South-west England, cousin-in-law's son
    KCUPSUNK
    Unknown speaker, other
    KCUPSUGP
    Group of unknown speakers, other
  3854. 32714 words from 50 conversations recorded by `Katherine' (PS0H7, R 444) between 2 and 5 June 1991 with 3 interlocutors
    PS0H7
    57, Katherine, housewife, European (German), self
    PS125
    56, Patrick, company secretary, husband
    PS126
    25, Stefan, student, European (German), friend
    KCVPSUNK
    Unknown speaker, other
    KCVPSUGP
    Group of unknown speakers, other
  3855. 23839 words from 19 conversations recorded by `Kathleen' (PS0H8, R 14) between 15 and 17 January 1992 with 10 interlocutors
    PS0H8
    15, Kathleen, student (state secondary), Central Midlands, self
    PS127
    44, Christine, teacher, Northern England, mother
    PS128
    13, Mary, student (state secondary), Central Midlands, sister
    PS129
    11, Susan, student (state secondary), Central Midlands, sister
    PS12A
    37, Jackie, dinner-lady, Central Midlands, sister's friend's mother
    PS12B
    11, Claire, student, Central Midlands, sister's friend
    PS12C
    14, Lorna, student, Central South-west England, friend
    PS12D
    14, Helen, student, Central South-west England, friend
    PS12E
    15, Amanda, student, Midlands, friend
    KCWPSUNK
    Unknown speaker, other
    KCWPSUGP
    Group of unknown speakers, other
  3856. 60332 words from 25 conversations recorded by `Kathleen2' (PS1FC, R 59) between 30 January and 7 February 1992 with 9 interlocutors
    PS1FC
    37, Kathleen, crossing warden, Central Northern England, self
    PS1FD
    54, Flo, youth worker, North-east England, friend
    PS1FE
    42, Maggie, housewife, London, friend
    PS1FF
    40+, None, taxi driver, Central Northern England, stranger
    PS1FG
    40+, Alice, smallholder, Central Northern England, friend
    PS1FH
    39, Steve, electrician, Central Northern England, husband
    PS1FJ
    2, Krista, pre-school, Central Northern England, friend's granddaughter
    PS1FK
    30+, Enid, Central Northern England, colleague
    KCXPSUNK
    Unknown speaker, other
    KCXPSUGP
    Group of unknown speakers, other
  3857. 24051 words from 11 conversations recorded by `Keith' (PS0H9, R 13) between 10 and 15 January 1992 with 10 interlocutors
    PS0H9
    36, Keith, telecommunication engineer, Central Midlands, self
    PS0HA
    33, Richard, telecommunication engineer, Central Midlands, colleague
    PS0HB
    34, Russell, bakery worker, Central Midlands, friend
    PS0HC
    35, Michael, engineer, Central Midlands, friend
    PS0HD
    42, Kathleen, nurse, Central Midlands, sister
    PS0HE
    42, Terence, engineer, Central Midlands, brother-in-law
    PS0HF
    72, Joseph, retired, Central Midlands, father
    PS0HG
    74, Eileen, housewife, Central Midlands, mother
    PS0HH
    45, Dave, engineer, North-east Midlands, colleague
    KCYPSUNK
    Unknown speaker, other
    KCYPSUGP
    Group of unknown speakers, other
  3858. 77692 words from 106 conversations recorded by `Kevin' (PS0HM, R 26) between 29 November and 5 December 1991 with 14 interlocutors
    PS0HM
    41, Kevin, draughtsman, London, self
    PS0HN
    12, Paul, student (state secondary), London, son
    PS0HP
    40, Ruth, teacher, wife
    PS0HR
    29, Michelle, local government officer, European (French), sister-in-law
    PS0HS
    74, Eric, retired, London, father
    PS0HT
    40, Adrian, salesman, London, brother-in-law
    PS0HU
    41, Karen, secretary, London, sister
    PS0HV
    33, Andrew, local government officer, London, brother
    PS0HW
    13, Lisa, student, London, niece
    PS0HX
    70+, babs (aka mutty), retired, Lower South-west England, brother-in-law's mother
    PS0HY
    70+, Joy, retired, London, mother
    PS0J0
    15, Michael, student, London, nephew
    PS1KN
    None, ?
    KD0PSUNK
    Unknown speaker, other
    KD0PSUGP
    Group of unknown speakers, other
  3859. 40487 words from 14 conversations recorded by `Larna' (PS0JA, R 107) between 20 and 24 February 1992 with 8 interlocutors
    PS0JA
    25, Larna, housewife, self
    PS0JB
    4, Charlotte, student (state pre), daughter
    PS0JC
    29, Pauline, housewife, sister-in-law
    PS0JD
    Vicky, ?
    PS0JE
    25, Alex, secretary, friend
    PS0JF
    3, Anthony, pre-school, son
    PS0JG
    45, David, lorry driver, stepfather
    PS0JH
    3, Aaron, nephew
    KD1PSUNK
    Unknown speaker, other
    KD1PSUGP
    Group of unknown speakers, other
  3860. 19822 words from 22 conversations recorded by `Linda' (PS0J1, R 61) between 30 January and 2 February 1992 with 9 interlocutors
    PS0J1
    20, Linda, trainee typist, Central Northern England, self
    PS0J2
    60+, Alice, retired, Central Northern England, neighbour
    PS0J3
    45, Dave, disabled unemployed, Central Northern England, father
    PS0J4
    51, Ivy, housewife, Central Northern England, mother
    PS0J5
    21, David, plasterer, Central Northern England, brother
    PS0J6
    25, Brian, plasterer, Central Northern England, brother
    PS0J7
    23, Tracey, trainee typist, Central Northern England, sister
    PS0J8
    50, Peter, salesman, Central Northern England, acquaintance
    PS0J9
    45, Margaret, shop assistant, Central Northern England, acquaintance
    KD2PSUNK
    Unknown speaker, other
    KD2PSUGP
    Group of unknown speakers, other
  3861. 33516 words from 40 conversations recorded by `Lisa' (PS0JJ, R 502) between 12 and 20 March 1992 with 7 interlocutors
    PS0JJ
    30, Lisa, housewife, South Midlands, self
    PS0JK
    0, Peter, pre-school, son
    PS0JL
    29, Melvin, self-employed panel beater, husband
    PS0JP
    27, Diane, housewife, South Midlands, sister-in-law
    PS0JR
    52, Anne, maggot farm manager, South Midlands, aunt
    PS0JS
    27, Cheryl, housewife, neighbour
    PS0JT
    2, Ben, pre-school, neighbour's son
    KD3PSUNK
    Unknown speaker, other
    KD3PSUGP
    Group of unknown speakers, other
  3862. 7068 words from 7 conversations recorded by `Margaret' (PS0JW, R 1) between 13 and 14 January 1992 with 5 interlocutors
    PS0JW
    34, Margaret, teacher (pt), Midlands, self
    PS138
    40+, Sheila, teacher, Midlands, colleague
    PS13A
    5, Ben, student (state primary), Midlands, son
    PS13B
    3, Katie, student (state pre), Midlands, daughter
    PS13C
    35, Adrian, environmental health officer, Midlands, husband
    KD4PSUNK
    Unknown speaker, other
    KD4PSUGP
    Group of unknown speakers, other
  3863. 54036 words from 55 conversations recorded by `Mark' (PS0JX, R 105) between [date unknown] and 26 February 1992 with 25 interlocutors
    PS0JX
    27, Mark, technician, self
    PS0JY
    27, Sue, nurse, wife
    PS0K0
    60, Dad, retired, father
    PS0K1
    50, Mum, nurse, European (Dutch), mother
    PS0K2
    29, Isobel, secretary, sister
    PS0K3
    60+, Derek, father-in-law
    PS0K4
    60+, Pauline, mother-in-law
    PS0K5
    30, Spencer, manager, brother
    PS0K6
    30, Sally, teacher, sister-in-law
    PS0K7
    28, Norman, technician, colleague
    PS0K8
    26, Bedge, engineer, colleague
    PS0K9
    30+, Yun, technician, Chinese, colleague
    PS0KA
    30+, Ian, engineer, colleague
    PS0KB
    20+, Justin, technician, colleague
    PS0KC
    30+, John, technician, colleague
    PS0KD
    20+, Paul, technician, colleague
    PS0KE
    28, Carol, clerk, colleague
    PS0KF
    25, Dave, technician, colleague
    PS0KG
    40+, Daphney, secretary, colleague
    PS0KH
    40+, Collin, engineer, colleague
    PS0KJ
    20+, Andy, engineer, Scottish, colleague
    PS0KK
    40+, Frank, manager, European (German), colleague
    PS0KL
    30+, Paul, technician, colleague
    PS0KM
    40+, George, engineer, colleague
    KD5PSUNK
    Unknown speaker, other
    KD5PSUGP
    Group of unknown speakers, other
  3864. 39227 words from 19 conversations recorded by `Martin' (PS0KN, R 4) between 11 and 16 January 1992 with 8 interlocutors
    PS0KN
    17, Martin, student, Midlands, self
    PS13K
    37, Lynn, nurse (pt), Midlands, mother
    PS13L
    3, Robert, student (state pre), Midlands, brother
    PS13M
    40, Dave, unemployed, Central South-west England, step-father
    PS13N
    13, Geoff, student (state secondary), Midlands, brother
    PS13P
    17, Rich, student, Midlands, friend
    PS13R
    19, Scott, mechanic, Midlands, friend
    PS13S
    20, Sarah, clerk, Midlands, friend
    KD6PSUNK
    Unknown speaker, other
    KD6PSUGP
    Group of unknown speakers, other
  3865. 19206 words from 24 conversations recorded by `Matt' (PS0KP, R 109) between 20 February and ?? March 1992 with 6 interlocutors
    PS0KP
    35, Matt, financial advisor, Scottish, self
    PS0KR
    35, Jan, building society branch assistant, wife
    PS0KS
    13, Matthew, student (state secondary), son
    PS0KT
    10, Laura, student (state primary), daughter
    PS0KU
    7, Christopher, student (state primary), son
    PS0KV
    Christopher, ?
    KD7PSUNK
    Unknown speaker, other
    KD7PSUGP
    Group of unknown speakers, other
  3866. 76445 words from 31 conversations recorded by `Martine' (PS0LK, R 524) between 12 and 20 March 1992 with 10 interlocutors
    PS0LK
    25, Martine, senior technician, Welsh, self
    PS0LL
    28, Mike, construction worker, Welsh, husband
    PS0LM
    55, Merielle, housewife, Welsh, mother
    PS0LN
    45, None, pub landlord, Home Counties, stranger
    PS0LP
    58, Harold, engineer, Welsh, father
    PS0LR
    76, Nora, housewife, Welsh, grandmother-in-law
    PS0LS
    45, Will, civil engineer, Merseyside, colleague
    PS0LT
    40, Michael, technical director, Home Counties, colleague
    PS0LU
    27, Jim, technician, Home Counties, colleague
    KD8PSUNK
    Unknown speaker, other
    KD8PSUGP
    Group of unknown speakers, other
  3867. 12902 words from 17 conversations recorded by `Mark2' (PS1G2, R 801) between [date unknown] and ?? April 1992 with 13 interlocutors
    PS1G2
    17, Mark, unemployed, Irish, self
    PS1G3
    36, Kerry, housewife, Irish, mother
    PS1G4
    10, Angela, student (state primary), Irish, sister
    PS1G5
    12, Michael, student (state secondary), Irish, brother
    PS1G6
    16, Albert, barman, Irish, friend
    PS1G7
    19, Robert, ship yard employee, Irish, friend
    PS1G8
    17, Leigh, postman, Irish, friend
    PS1G9
    15, Debbie, student, Irish, friend
    PS1GA
    16, Anne, student, Irish, friend
    PS1GB
    37, Jonston, Irish, ?
    PS1GC
    21, Ormo, Irish, ?
    PS1GD
    19, Julianne, Irish, ?
    PS6TK
    None, ?
  3868. 71717 words from 132 conversations recorded by `Mark3' (PS1GE, R 19) between 29 November and ?? December 1991 with 11 interlocutors
    PS1GE
    25, Mark, aircraft engineer, Home Counties, self
    PS1GF
    22, Stuart, aircraft engineer, Home Counties, colleague
    PS1GG
    21, Mick, aircraft engineer, Home Counties, colleague
    PS1GH
    21, Chris, aircraft engineer, Home Counties, colleague
    PS1GJ
    24, Karl, aircraft engineer, Welsh, colleague
    PS1GK
    26, Nigel, aircraft engineer, Home Counties, colleague
    PS1GL
    17, Graham, trainee aircraft engineer, Home Counties, colleague
    PS1GM
    42, Barry, leading hand aircraft engineer, Home Counties, colleague
    PS1GN
    32, Mick, sweeper, Home Counties, colleague
    PS1GP
    21, Damian, aircraft engineer, Home Counties, colleague
    KDAPSUNK
    Unknown speaker, other
    KDAPSUGP
    Group of unknown speakers, other
  3869. 16597 words from 27 conversations recorded by `Mikila' (PS0KY, R 21) on 28 November 1991 with 10 interlocutors
    PS0KY
    17, Mikila, student, Home Counties, self
    PS0L0
    None, ?
    PS0L1
    None, ?
    PS0L2
    None, ?
    PS0L3
    None, ?
    PS0L4
    None, ?
    PS0L5
    17, Kathryn, student, Home Counties, friend
    PS0L6
    17, Tabitha, student, Home Counties, friend
    PS0L7
    17, Maggi, student, Home Counties, friend
    KDBPSUNK
    Unknown speaker, other
    KDBPSUGP
    Group of unknown speakers, other
  3870. 1062 words from 5 conversations recorded by `Michael' (PS19Y, R 64) on 3 February 1992 with 3 interlocutors
    PS19Y
    18, Michael, sales person, Lancashire, self
    PS1A4
    22, Elliot, inland revenue employee, Central Northern England, friend
    PS1A5
    17, Jason, unemployed, Lancashire, friend
    PS1A6
    23, Kenny, scientist, Scottish, friend
    KDCPSUNK
    Unknown speaker, other
    KDCPSUGP
    Group of unknown speakers, other
  3871. 2206 words from 13 conversations recorded by `Murray' (PS0KW, R 121) on 21 February 1992 with 1 interlocutor
    PS0KW
    74, Murray, retired (machine operator), Canada, self
    PS0KX
    70, Vera, retired, wife
  3872. 24488 words from 110 conversations recorded by `Nicola' (PS0M4, R 503) between 3 and 5 June 1991 with 5 interlocutors
    PS0M4
    33, Nicola, housewife, Home Counties, self
    PS0M5
    3, Oliver, student (private pre), London, son
    PS13T
    34, Bill, plumber, London, husband
    PS13U
    34, Linda, housewife, London, friend
    PS13X
    63, Derek, retired, London, father
    KDEPSUNK
    Unknown speaker, other
    KDEPSUGP
    Group of unknown speakers, other
  3873. 1359 words from 8 conversations recorded by `Pamela' (PS0M6, R 65) between 31 January and 4 February 1992 with 4 interlocutors
    PS0M6
    32, Pamela, sales assistant, Lancashire, self
    PS0M7
    58, Margaret, market researcher, Scottish, stranger
    PS0M8
    1, Marcus, pre-school, Lancashire, son
    PS0M9
    38, Paul, bus driver (psv), Lancashire, husband
    KDFPSUNK
    Unknown speaker, other
    KDFPSUGP
    Group of unknown speakers, other
  3874. 12125 words from 18 conversations recorded by `Patricia' (PS0MA, R 800) between 14 and 16 April 1992 with 10 interlocutors
    PS0MA
    31, Patricia, child minder, Irish, self
    PS0MB
    None, ?
    PS0MC
    None, ?
    PS0MD
    28, David, cleaning supervisor, Irish, husband
    PS0ME
    None, ?
    PS0MF
    23, Richard, shop manager, Irish, brother-in-law
    PS0MG
    None, ?
    PS0MH
    None, ?
    PS0MJ
    None, ?
    KDGPSUNK
    Unknown speaker, other
    KDGPSUGP
    Group of unknown speakers, other
  3875. 8207 words from 13 conversations recorded by `Paul' (PS0MX, R 807) between 10 and 16 April 1992 with 5 interlocutors
    PS0MX
    32, Paul, baker, Irish, self
    PS0MY
    12, Francis, student (state secondary), Irish, son
    PS0N0
    8, Lemar, student (state primary), Irish, son
    PS0N1
    32, Nora, stitcher, Irish, wife
    KDHPSUNK
    Unknown speaker, other
    KDHPSUGP
    Group of unknown speakers, other
  3876. 16234 words from 6 conversations recorded by `Pauline' (PS0N3, R 117) between 21 and 24 February 1992 with 8 interlocutors
    PS0N3
    26, Pauline, unemployed, North-east England, self
    PS0N4
    53, Bob, sales assistant, Scottish, friend
    PS0N5
    26, Tracey, telephonist, Scottish, friend
    PS0N6
    2, David, pre-school, friend
    PS0N7
    55, Kathy, canvasser, South Midlands, friend
    PS0N8
    24, Kay, canvasser, North-east Midlands, friend
    PS0N9
    55, Bill, canvasser, Southern (?), friend
    PS0NA
    Michelle, North-east Midlands, ?
    KDJPSUNK
    Unknown speaker, other
    KDJPSUGP
    Group of unknown speakers, other
  3877. 3462 words from 18 conversations recorded by `Paul2' (PS1H4, R 25) between 29 November and 5 December 1991 with 8 interlocutors
    KDKPS000
    None, ?
    PS1H4
    34, Paul, aircraft dispatcher, London, self
    PS1H5
    8, Sarah, student (state primary), London, daughter
    PS1H6
    6, Lisa, student (state primary), London, daughter
    PS1H7
    10, Caroline, student (state primary), London, daughter
    PS1H8
    34, Pam, aircraft dispatcher, Scottish, colleague
    PS1H9
    32, Ursula, aircraft dispatcher, London, colleague
    PS1HA
    32, Sue, aircraft dispatcher, London, colleague
    KDKPSUNK
    Unknown speaker, other
    KDKPSUGP
    Group of unknown speakers, other
  3878. 8658 words from 30 conversations recorded by `Rachel' (PS0NX, R 23) between 30 November and 5 December 1991 with 7 interlocutors
    PS0NX
    16, Rachel, student (private secondary), London, self
    PS0NY
    65, Barbara, retired, Upper South-west England, grandmother
    PS0P0
    44, Jenny, doctor, Upper South-west England, mother
    PS0P1
    None, stranger
    PS0P3
    48, None, shop assistant, London, stranger
    PS0P4
    35, None, shop assistant, London, stranger
    KDLPSUNK
    Unknown speaker, other
    KDLPSUGP
    Group of unknown speakers, other
  3879. 108739 words from 103 conversations recorded by `Raymond' (PS0PN, R 523) between 13 and 19 March 1992 with 46 interlocutors
    PS0PN
    57, Raymond, retired, North-west Midlands, self
    PS0PP
    55, Margaret, retired, London, wife
    PS0PR
    61, Brian, technician, North-west Midlands, colleague
    PS0PS
    50, Shirley, housewife, North-west Midlands, colleague
    PS0PT
    50, Brian, photographer, North-west Midlands, colleague
    PS0PU
    54, Eric, retired, North-west Midlands, colleague
    PS0PV
    45, Chris, housewife, North-west Midlands, colleague
    PS0PW
    46, John, driver, Merseyside, colleague
    PS0PX
    70, Paula, housewife, London, colleague
    PS0PY
    66, Gwyneth, housewife, North-west Midlands, colleague
    PS0R0
    35, Bruce, technician, Merseyside, colleague
    PS0R1
    57, Joan, tutor, North-west Midlands, colleague
    PS0R2
    31, Joanna, upholsterer, Home Counties, colleague
    PS0R3
    54, Arthur, driver, Merseyside, colleague
    PS0R4
    36, Paul, policeman, North-west Midlands, son
    PS0R5
    27, Cathy, laboratory technician, North-west Midlands, daughter-in-law
    PS0R6
    11, Nik, boys brigade, Welsh, stranger
    PS0R7
    60, Dorothy, machinist, Welsh, colleague
    PS0R8
    6, Laura, student, North-west Midlands, granddaughter
    PS0R9
    5, Scott, student, North-west Midlands, grandson
    PS0RA
    8, Emily, student, North-west Midlands, granddaughter
    PS0RB
    31, Carrie, housewife, North-west Midlands, daughter
    PS0RC
    61, Ken, retired, North-west Midlands, friend
    PS0RD
    61, Norman, joiner, North-west Midlands, neighbour
    PS0RE
    37, Molly, housewife, North-west Midlands, colleague
    PS0RF
    60, John, schoolmaster, North-west Midlands, colleague
    PS0RG
    45, George, tutor, Central Midlands, colleague
    PS0RH
    43, Nanette, housewife, European (Dutch), colleague
    PS0RJ
    37, Victoria, housewife, United States, colleague
    PS0RK
    61, Arthur, storeman, South Midlands, friend
    PS0RL
    40, Glyn, auction worker, Welsh, colleague
    PS0RM
    63, Hughes, chemist, Central Midlands, stranger
    PS0RN
    27, Hayley, chemist, North-west Midlands, friend
    PS0RP
    62, Hilary, housewife, North-west Midlands, neighbour
    PS0RR
    42, Phyllis, secretary, North-west Midlands, friend
    PS0RS
    22, Louise, typist, North-west Midlands, friend
    PS0RT
    61, Tim, dentist, North-west Midlands, colleague
    PS0RU
    62, Ted, retired, Merseyside, colleague
    PS0RV
    57, Pat, housewife, London, colleague
    PS0RW
    48, Mike, restorer, North-west Midlands, colleague
    PS0RX
    27, Tony, remover, Merseyside, colleague
    PS0RY
    64, Alice, housewife, North-west Midlands, colleague
    PS0S0
    45, Brian, salesman, North-west Midlands, friend
    PS0S1
    61, Mary, housewife, North-west Midlands, colleague
    PS0S2
    42, Teresa, housewife, North-west Midlands, colleague
    KDMPSUNK
    Unknown speaker, other
    KDMPSUGP
    Group of unknown speakers, other
  3880. 43638 words from 90 conversations recorded by `Raymond2' (PS1HH, R 802) between 15 and 17 April 1992 with 10 interlocutors
    PS1HH
    53, Raymond, unemployed, Irish, self
    PS1HJ
    45, Jean, housewife, Irish, wife
    PS1HK
    3, Kylie, pre-school, Irish, neighbour
    PS1HL
    34, Paul, window cleaner, Irish, neighbour
    PS1HM
    43, Mary, shop assistant, Irish, stranger
    PS1HN
    10, Kelly Ann, student, Irish, niece
    PS1HP
    11, Stephen, student, Irish, nephew
    PS1HR
    39, John, painter, Irish, brother-in-law
    PS1HS
    20, Raymond, painter, Irish, son
    KDNPSUNK
    Unknown speaker, other
    KDNPSUGP
    Group of unknown speakers, other
  3881. 17061 words from 70 conversations recorded by `Richard' (PS0NB, R 3) between 17 and 18 May 1991 with 9 interlocutors
    PS0NB
    31, Richard, catering manager, Central Northern England, self
    PS0NC
    None, ?
    PS0ND
    None, ?
    PS0NE
    None, ?
    PS0NF
    None, ?
    PS0NG
    None, ?
    PS0NH
    None, ?
    PS0NJ
    None, ?
    PS0NK
    None, ?
    KDPPSUNK
    Unknown speaker, other
    KDPPSUGP
    Group of unknown speakers, other
  3882. 13827 words from 4 conversations recorded by `Richard3' (PS1K9, R 603) between 2 and 9 April 1992 with 2 interlocutors
    PS1K9
    49, Richard, lecturer, self
    PS1KA
    38, Jan, teacher, North-west Midlands, wife
    KDRPSUNK
    Unknown speaker, other
    KDRPSUGP
    Group of unknown speakers, other
  3883. 14407 words from 14 conversations recorded by `Rosemary' (PS0NR, R 808) between 14 and 16 April 1991 with 6 interlocutors
    PS0NR
    81, Rosemary, retired, London, self
    PS0NS
    40+, Eileen, retired, Irish, friend
    PS0NT
    42, Joan, Lower South-west England, daughter
    PS0NU
    68, John, retired (building trade foreman), Irish, husband
    PS0NV
    13, John, student, Irish, grandson
    PS0NW
    47, Anne, Irish, friend
    KDSPSUNK
    Unknown speaker, other
    KDSPSUGP
    Group of unknown speakers, other
  3884. 3098 words from 3 conversations recorded by `Robert' (PS1CE, R 808) between 2 and 6 April 1992 with 4 interlocutors
    KDTPS000
    None, ?
    PS1CE
    34, Robert, self employed general contractor, Central Northern England, self
    PS1CF
    32, Ellen, office manager, Central Northern England, fiancée
    PS1CG
    33, Graham, gardener, Central Northern England, friend
    KDTPSUNK
    Unknown speaker, other
    KDTPSUGP
    Group of unknown speakers, other
  3885. 8038 words from 18 conversations recorded by `Sam' (PS0S3, R 803) between 15 and 21 April 1992 with 7 interlocutors
    PS0S3
    58, Sam, company director, Irish, self
    PS0S4
    56, George, clerk, Irish, brother-in-law
    PS0S5
    60, Betty, Irish, sister-in-law
    PS0S6
    51, Diana, housewife, Irish, wife
    PS0S8
    26, Shirley, bank official, Irish, daughter
    PS0S9
    61, Bill, retired, Irish, friend
    PS0SA
    55, Margaret, typist (pt), Irish, friend
    KDUPSUNK
    Unknown speaker, other
    KDUPSUGP
    Group of unknown speakers, other
  3886. 27333 words from 20 conversations recorded by `Sandra' (PS0SB, R 3) between 10 and 17 January 1992 with 9 interlocutors
    PS0SB
    38, Sandra, ancillary nurse, Central Midlands, self
    PS0SC
    9, Kyle, student (state primary), Central Midlands, son
    PS0SD
    55, Margaret, ancillary nurse, Central Midlands, colleague
    PS0SE
    10+, Penny, student, Central Midlands, stranger
    PS0SF
    50+, R., headmistress, Central Midlands, boss
    PS0SG
    44, Tony, engineer, Central Midlands, husband
    PS0SH
    19, Deanne, student, Central Midlands, daughter
    PS0SJ
    55, Pat, wages clerk, Central Midlands, mother
    PS0SK
    67, Wally, driver, Central Midlands, father
    KDVPSUNK
    Unknown speaker, other
    KDVPSUGP
    Group of unknown speakers, other
  3887. 58393 words from 27 conversations recorded by `Sandra2' (PS1C1, R 41) between 9 and 16 January 1992 with 25 interlocutors
    PS1C1
    41, Sandra, student, Lancashire, self
    PS1C2
    58, June, housewife, North-west Midlands, friend
    PS1C3
    62, Mary, housewife, North-west Midlands, friend
    PS1C4
    53, Pat, housewife, North-west Midlands, friend
    PS1C5
    60, Louis, housewife, North-west Midlands, friend
    PS1C6
    43, Marg, housewife, North-west Midlands, friend
    PS1J2
    None, ?
    PS1J3
    None, ?
    PS1J4
    None, ?
    PS1J5
    None, ?
    PS1J6
    None, ?
    PS1J7
    None, ?
    PS1J8
    None, ?
    PS1J9
    None, ?
    PS1JA
    None, ?
    PS1JC
    None, ?
    PS1JD
    None, ?
    PS1JE
    None, ?
    PS1JG
    7, Alex, student, North-west Midlands, friend's son
    PS1JH
    9, Simon, student, North-west Midlands, friend's son
    PS1JJ
    40, Garry, teacher, North-west Midlands, friend
    PS1JK
    None, ?
    PS1JN
    None, ?
    PS1JP
    None, ?
    PS6TL
    None, ?
  3888. 6335 words from 8 conversations recorded by `Sharon' (PS1CH, R 613) on 2 April 1992 with 14 interlocutors
    PS1CH
    18, Sharon, sales assistant, North-east England, self
    PS1CJ
    45, Elsa, housewife, North-east England, mother
    PS1CK
    22, John, butcher and baker, North-east England, brother
    PS1CL
    49, Tommy, unemployed, North-east England, father
    PS1CM
    30, Jimmy, electrician, North-east England, friend
    PS593
    21, Darren, machinist, North-east England, boyfriend
    PS594
    19, John, warehouseman, North-east England, colleague
    PS595
    16, Gary, security guard, North-east England, colleague
    PS596
    Bridget, unemployed, Northern England, boyfriend's mother
    PS597
    Alan, unemployed, Northern England, boyfriend's father
    PS598
    Margaret, sales assistant, North-east England, colleague
    PS599
    Pat, sales assistant, North-east England, colleague
    PS59A
    Gary, sales rep, North-east England, colleague
    PS6TN
    None, ?
  3889. 13318 words from 18 conversations recorded by `Sidney' (PS0SV, R 101) [dates unknown] with 8 interlocutors
    PS0SV
    66, Sidney, retired, London, self
    PS140
    Ethel, London, ?
    PS141
    67, Sheila, housewife, London, wife
    PS142
    Ralph, London, ?
    PS143
    Edith, London, ?
    PS144
    David, shop assistant, London, friend
    PS145
    Irene, shop assistant, London, friend
    PS146
    Elvia, shop assistant, London, friend
    KDYPSUNK
    Unknown speaker, other
    KDYPSUGP
    Group of unknown speakers, other
  3890. 26574 words from 17 conversations recorded by `Simmone' (PS0SW, R 119) between 20 and 27 February 1992 with 9 interlocutors
    PS0SW
    15, Simmone, student, Central South-west England, self
    PS0SX
    None, ?
    PS0SY
    None, ?
    PS0T0
    None, ?
    PS0T1
    None, ?
    PS0T2
    None, ?
    PS0T3
    None, ?
    PS0T4
    None, ?
    PS0T5
    None, ?
    KE0PSUNK
    Unknown speaker, other
    KE0PSUGP
    Group of unknown speakers, other
  3891. 19903 words from 26 conversations recorded by `Stephen' (PS0TU, R 806) between 10 and 16 April 1992 with 9 interlocutors
    PS0TU
    17, Stephen, student, Irish, self
    PS0TV
    None, Irish, ?
    PS0TW
    None, Irish, ?
    PS0TX
    None, Irish, ?
    PS0TY
    None, Irish, ?
    PS0U0
    None, Irish, ?
    PS0U1
    None, Irish, ?
    PS0U2
    None, Irish, ?
    PS0U3
    30, Paul, shopkeeper, Irish, friend
    KE1PSUNK
    Unknown speaker, other
    KE1PSUGP
    Group of unknown speakers, other
  3892. 77961 words from 153 conversations recorded by `Terence' (PS0W2, R 113) between 20 and 27 February 1992 with 10 interlocutors
    PS0W2
    70, Terence, retired (headteacher), East Anglia, self
    PS0W3
    44, Richard, fireman, Lower South-west England, son
    PS0W4
    70, Margaret, retired, Irish, wife
    PS0W5
    13, Lucy, student, Lower South-west England, friend
    PS0W6
    13, Holly, student, Lower South-west England, friend
    PS0W7
    13, Adrian, student, Lower South-west England, friend
    PS0W8
    13, Danielle, student, Lower South-west England, friend
    PS0W9
    40, Christine, housewife, Lower South-west England, friend
    PS0WA
    50, Mima, housewife, Lower South-west England, friend
    KE2PSUNK
    Unknown speaker, other
    KE2PSUGP
    Group of unknown speakers, other
  3893. 62395 words from 150 conversations recorded by `Tony' (PS0V4, R 12) between 28 November and 5 December 1991 with 9 interlocutors
    PS0V4
    37, Tony, civil service, Central South-west England, self
    PS0V5
    35, Jackie, civil servant (pt), Central South-west England, wife
    PS0V6
    11, Christine, student (state secondary), Central South-west England, daughter
    PS0V7
    60+, Rene, retired, Central South-west England, mother-in-law
    PS0V8
    59, Mum, shop assistant, Central South-west England, mother
    PS0V9
    29, Vicky, sales assistant, Central South-west England, friend
    PS0VA
    40, Dot, civil servant, Central South-west England, colleague
    PS0VB
    37, Martin, civil servant, Central South-west England, colleague
    PS0VC
    50, Margaret, civil servant, Central Northern England, colleague
    KE3PSUNK
    Unknown speaker, other
    KE3PSUGP
    Group of unknown speakers, other
  3894. 15170 words from 22 conversations recorded by `Valerie' (PS0WN, R 75) between 30 January and ?? ?? 1992 with 7 interlocutors
    PS0WN
    36, Valerie, staff nurse (pt), Scottish, self
    PS0WP
    34, Peter, sales representative, Scottish, husband
    PS0WR
    8, Jackie, student (state primary), Scottish, daughter
    PS0WS
    10, David, student (state primary), Scottish, son
    PS0WT
    11, Dawn, student, Scottish, friend
    PS0WU
    40+, None, dentist, Scottish, stranger
    PS0WW
    50+, None, telephone engineer, Scottish, stranger
    PS0WX
    37, Dougie, sales representative, Scottish, friend
    KE4PSUNK
    Unknown speaker, other
    KE4PSUGP
    Group of unknown speakers, other
  3895. 4800 words from 4 conversations recorded by `Wayne' (PS0X2, R 108) between 20 and 22 February 1992 with 6 interlocutors
    PS0X2
    20, Wayne, unemployed, Central South-west England, self
    PS0X3
    47, Michael, factory operative, Central South-west England, father
    PS0X4
    49, Brenda, factory operative, Central South-west England, mother
    PS0X5
    22, Martin, forklift truck driver, Central South-west England, brother
    PS0X6
    24, Gary, factory worker, Central South-west England, brother's friend
    PS0X7
    17, Sam, student, Central South-west England, girlfriend
    KE5PSUNK
    Unknown speaker, other
    KE5PSUGP
    Group of unknown speakers, other
  3896. 70883 words from 59 conversations recorded by `Wendy' (PS0X8, R 111) between 21 and 28 February 1992 with 8 interlocutors
    PS0X8
    54, Wendy, machine minder, Central South-west England, self
    PS0X9
    25, Bev, unemployed, Central South-west England, daughter
    PS0XA
    55, Michael, production engineer, Central South-west England, husband
    PS0XB
    30, Beth, office worker, Scottish, friend
    PS0XC
    40, Jill, office worker, Central South-west England, friend
    PS0XD
    45, Sandra, machine minder, Home Counties, friend
    PS0XE
    62, Doreen, machine minder, London, friend
    PS0XG
    49, Dee, packer, Central South-west England, friend
    KE6PSUNK
    Unknown speaker, other
    KE6PSUGP
    Group of unknown speakers, other
  3897. 6463 words from Walsall Local Studies Centre: interview
    PS6MY
    Joyce
    PS6N0
    retired
  3898. 15903 words from BBC Radio Nottingham: radio broadcast
    PS388
    Geoff, radio presenter
    PS389
    Sue, Phone-in caller
    PS38A
    Teresa, weather forecaster
    PS38B
    10+, schoolchild, Giving clue for Kids' County quiz
    PS38C
    10+, schoolchild, Giving clue for Kids' County quiz
    PS38D
    10+, schoolchild, Giving clue for Kids' County quiz
    PS38E
    10+, schoolchild, Giving clue for Kids' County quiz
    PS38F
    10+, schoolchild, Giving clue for Kids' County quiz
    PS38G
    Trudy, Quiz phone-in caller
    KGHPSUNK
    Unknown speaker, other
    KGHPSUGP
    Group of unknown speakers, other
  3899. 11768 words from BAIE Scotland: radio broadcast
    PS45G
    52, no further information given
    PS45H
    47, bnc project administrator, no further information given
    PS45J
    32, editor, no further information given
    KGKPS000
    unspecified
    KGKPSUNK
    Unknown speaker, other
    KGKPSUGP
    Group of unknown speakers, other
  3900. 9571 words from Abbey Life training session: employee training
    PS4C2
    47, Peter
    KGLPSUNK
    Unknown speaker, other
    KGLPSUGP
    Group of unknown speakers, other
  3901. 16174 words from Leicestershire County Council: debate
    PS4DA
    Beale, this is a vote where most people say only 'for' or
    KGMPS000
    unspecified
    KGMPS001
    unspecified
    KGMPS002
    unspecified
    KGMPS003
    unspecified
    KGMPS004
    unspecified
    KGMPS005
    unspecified
    KGMPS006
    unspecified
    KGMPS007
    unspecified
    KGMPSUNK
    Unknown speaker, other
    KGMPSUGP
    Group of unknown speakers, other
  3902. 16835 words from Student seminar on Hunan report
    PS46J
    unspecified
    KGNPSUNK
    Unknown speaker, other
    KGNPSUGP
    Group of unknown speakers, other
  3903. 9442 words from Black sheep of the family: seminar
    PS48T
    60, Joyce, student
    PS48Y
    50, Jan, student
    KGPPSUNK
    Unknown speaker, other
    KGPPSUGP
    Group of unknown speakers, other
  3904. 12069 words from Adult education seminar: Justice for all
    PS4DV
    Frank, tutor
    KGRPSUNK
    Unknown speaker, other
    KGRPSUGP
    Group of unknown speakers, other
  3905. 9402 words from Team Focus - training course (TNT Express Ltd)
    PS4NU
    58, p. finister, trainer
    PS4NV
    30, s. whitworth, manager
    PS4NW
    30, m. bonner, telesales person
    PS4NX
    30, m. brome, sales executive
    PS4NY
    50, j. hartley, sales executive
    PS4P0
    30, j. walton, telesales person
    PS4P1
    30, l. birbeck, telesales person
    PS4P2
    50, d. inman, telesales person
    PS4P3
    30, m. dighton, sales executive
    KGSPSUNK
    Unknown speaker, other
    KGSPSUGP
    Group of unknown speakers, other
  3906. 7484 words from Team Focus - training course (TNT Express Ltd)
    PS4P8
    23, Justin, sales executive
    PS4P9
    20+, sales executive
    PS4PA
    30, b. singh, sales executive
    PS4PB
    20+, j. worrow, sales executive
    PS4PC
    40+, j. gibson, sales executive
    PS4PD
    18, j. fowles, sales executive
    PS4PE
    30+, p. summers, sales executive
    PS4PF
    20+, p. ford, sales executive
    PS4PG
    30+, a. bond, sales executive
    KGTPSUNK
    Unknown speaker, other
    KGTPSUGP
    Group of unknown speakers, other
  3907. 17182 words from Team Focus - training course (TNT Express Ltd)
    PS4PN
    23, Justin, sales executive
    PS4PP
    20+, sales executive
    PS4PR
    30, b. singh, sales executive
    PS4PS
    20+, j. worrow, sales executive
    PS4PT
    40+, j. gibson, sales executive
    PS4PU
    18, j. fowles, sales executive
    PS4PV
    30+, p. summers, sales executive
    PS4PW
    20+, p. ford, sales executive
    PS4PX
    30+, a. bond, sales executive
    KGUPSUNK
    Unknown speaker, other
    KGUPSUGP
    Group of unknown speakers, other
  3908. 1794 words from St Dominic's: lesson
    PS4S0
    teacher, no further information given
    PS4S4
    Richard, student
    PS4S5
    David, student
    PS4S6
    Margaret, student
    PS4S7
    Brian, student
    PS4S8
    Catherine, student
    KGVPSUNK
    Unknown speaker, other
    KGVPSUGP
    Group of unknown speakers, other
  3909. 18414 words from Lecture on child sex abuse
    PS4SD
    31, Brown, lecturer
    KGWPSUNK
    Unknown speaker, other
    KGWPSUGP
    Group of unknown speakers, other
  3910. 12299 words from St Luke's School Council meeting
    PS4TF
    Hilliard, councillor
    PS4TG
    head of council
    PS4TH
    Evans, councillor
    PS4TJ
    Howarth, councillor
    KGXPSUNK
    Unknown speaker, other
    KGXPSUGP
    Group of unknown speakers, other
  3911. 9671 words from Call Nick Ross - radio phone-in debating programme: live broadcast
    KJSPS000
    unspecified
    KJSPS001
    unspecified
    KJSPS002
    unspecified
    KJSPS003
    unspecified
    KJSPS004
    unspecified
    KJSPS005
    unspecified
    KJSPS006
    unspecified
    KJSPS007
    unspecified
    KJSPS008
    unspecified
    KJSPS009
    unspecified
    KJSPS00A
    unspecified
    KJSPS00B
    unspecified
    KJSPS00C
    unspecified
    KJSPS00D
    unspecified
    KJSPS00E
    unspecified
    KJSPS00F
    unspecified
    KJSPS00G
    unspecified
    KJSPSUNK
    Unknown speaker, other
    KJSPSUGP
    Group of unknown speakers, other
  3912. 8026 words from Test Match special: England v Sri Lanka: live broadcast
    KJTPS000
    unspecified
    KJTPS001
    unspecified
    KJTPS002
    unspecified
    KJTPSUNK
    Unknown speaker, other
    KJTPSUGP
    Group of unknown speakers, other
  3913. 13372 words from Tutorial lesson: BTEC engineering tutoring session
    PS1SD
    50, John, tutor
    PS1SE
    18, Graham, student
    KLGPSUNK
    Unknown speaker, other
    KLGPSUGP
    Group of unknown speakers, other
  3914. 10893 words from Talk about railways around Southwell
    PS6MX
    60, Gerry
    KLHPSUNK
    Unknown speaker, other
    KLHPSUGP
    Group of unknown speakers, other
  3915. 13348 words from Harlow Women's Institute committee meeting
    PS6MC
    Rose
    PS6MD
    Margaret
    PS6ME
    Joan
    PS6MF
    Elsie
    PS6MG
    Janet
    PS6MH
    Masie
    PS6MJ
    Edna
    PS6MK
    Amy
    PS6ML
    Gwen
    KLSPSUNK
    Unknown speaker, other
    KLSPSUGP
    Group of unknown speakers, other
  3916. 5400 words from Teachers' conference: creative arts group
    PS1LM
    46, Andrew, teacher
    PS1LN
    40+, Anne, teacher
    PS1LP
    40+, Milvia, teacher
    PS1LR
    40+, teacher
    KLTPSUNK
    Unknown speaker, other
    KLTPSUGP
    Group of unknown speakers, other
  3917. 15933 words from General Portfolio management meeting
    PS3SF
    40+, mike age // first language // di, group manager
    PS3SG
    45+, Robert, team manager
    PS3SH
    35+, Jackie, team manager
    PS3SJ
    50+, Steve, team manager
    PS3SK
    45+, Sheila, team manager
    PS3SL
    45+, Phil, team manager
    PS3SM
    45+, Ian, team manager
    PS3SN
    45+, personal assistant
    KLVPSUNK
    Unknown speaker, other
    KLVPSUGP
    Group of unknown speakers, other
  3918. 14570 words from Word-processing tutorial
    PS3TF
    50, John, tutor
    PS3TG
    10, Kelly, student
    PS3TH
    10, Claire, student
    KLWPSUNK
    Unknown speaker, other
    KLWPSUGP
    Group of unknown speakers, other
  3919. 10315 words from Careers service meeting
    PS21K
    Sue, careers advisor
    PS21L
    Bill, careers advisor
    PS21M
    Sylvia, careers advisor
    PS21N
    Kevin, careers advisor
    PS21P
    Cath, careers advisor
    PS21R
    Diane, careers advisor
    KLXPSUNK
    Unknown speaker, other
    KLXPSUGP
    Group of unknown speakers, other
  3920. 13718 words from Trade Union Annual Congress
    PS2HY
    Dick, president of trade union
    PS2J0
    Mick, trade unionist
    PS2J1
    Duncan, trade unionist
    PS2J2
    John, trade unionist
    PS2J3
    Sally, trade unionist
    PS2J4
    Frank, trade unionist
    PS2J5
    Avril, trade unionist
    PS2J6
    William, trade unionist
    PS2J7
    Paul, trade unionist
    KLYPSUNK
    Unknown speaker, other
    KLYPSUGP
    Group of unknown speakers, other
  3921. 12866 words from Trade Union Annual Congress
    PS2L2
    Dick, president of trade union
    PS2L3
    Tom, trade unionist
    PS2L4
    Nigel, trade unionist
    PS2L5
    Theresa, trade unionist
    PS2L6
    Maureen, trade unionist
    PS2L7
    Kevin, trade unionist
    PS2L8
    Sheila, trade unionist
    PS2L9
    Dorothy, trade unionist
    PS2LA
    Joanne, trade unionist
    KM0PSUNK
    Unknown speaker, other
    KM0PSUGP
    Group of unknown speakers, other
  3922. 12125 words from Trade Union Annual Congress
    PS2LJ
    Dick, president of trade union
    PS2LK
    John, trade unionist
    PS2LL
    Denise, trade unionist
    PS2LM
    Chris, trade unionist
    PS2LN
    Duncan, secretary of trades council
    PS2LP
    Mike, trade unionist
    PS2LR
    Ron, trade unionist
    PS2LS
    Ed, trade unionist
    PS2LT
    John, trade unionist
    KM1PSUNK
    Unknown speaker, other
    KM1PSUGP
    Group of unknown speakers, other
  3923. 13881 words from Dennis McCarthy Show: radio broadcast
    PS30C
    30+, rob tomlinson, newsreader
    PS30D
    30+, david white, director of social services
    PS30E
    mallory gelder, reporter
    PS30F
    head of un operations in bosnia
    PS30G
    50+, dennis mccarthy, radio presenter
    PS30H
    40+, Ken, Phone-in caller
    PS30J
    40+, Angela, Phone-in caller
    PS30K
    John, Phone-in caller
    PS30L
    40+, John, Phone-in caller
    KM2PSUNK
    Unknown speaker, other
    KM2PSUGP
    Group of unknown speakers, other
  3924. 11837 words from BBC Radio Nottingham daytime phone-in: radio broadcast
    PS312
    Geoff, radio presenter
    PS313
    14+, Lesley, Phone-in caller
    PS314
    Sue, Phone-in caller
    PS315
    June, Phone-in caller
    PS316
    Sharron, Phone-in caller
    PS317
    annie smith, reporter
    PS318
    alison ford, newsreader
    PS319
    nigel bell, reporter
    PS31A
    ray hilton, union branch leader
    KM3PSUNK
    Unknown speaker, other
    KM3PSUGP
    Group of unknown speakers, other
  3925. 18541 words from British Market Research Bureau monthly meeting
    PS3TP
    John, managing director
    PS3TR
    Stella, director
    PS3TS
    John, departmental chairman
    PS3TT
    Richard, administrator
    PS3TU
    Alan, director
    PS3TV
    Rita, director
    PS3TX
    Elizabeth, personnel director
    KM4PSUNK
    Unknown speaker, other
    KM4PSUGP
    Group of unknown speakers, other
  3926. 12668 words from Abbey Life training session: employee training
    PS4BW
    25, Conan, salesman
    PS4BX
    32, Karen, salesperson
    PS4BY
    53, Bob, salesman
    PS4C0
    47, Peter
    KM5PS000
    unspecified
    KM5PSUNK
    Unknown speaker, other
    KM5PSUGP
    Group of unknown speakers, other
  3927. 14432 words from [Bristol University history department tutorial]
    PS46L
    no further information given
    KM6PSUNK
    Unknown speaker, other
    KM6PSUGP
    Group of unknown speakers, other
  3928. 16937 words from EIP meeting at Strensall Village Hall, day 7, afternoon session: public county council planning meeting
    PS3YY
    50+, mr e barnett, department of the environment adjudicator
    PS400
    40+, mr david p lock, solicitor, from David Lock Associates
    PS401
    40+, miss d whittaker, department of the environment senior inspector
    PS402
    40+, mr d potter, legal representative, for North Yorkshire County Council
    PS403
    30+, mr d allenby, legal representative, for Harrogate Borough Council
    PS404
    50+, mr terry heselton, legal representative, for Selby District Council
    PS405
    35+, mr les j saunders, legal representative, for the Department of the Environment
    PS406
    45+, mr f broughton, legal representative, for the Ministry of Agriculture
    PS407
    45+, mr p earle, legal representative, for Richmondshire District Council
    KM7PSUNK
    Unknown speaker, other
    KM7PSUGP
    Group of unknown speakers, other
  3929. 11476 words from Halam Parish Council meeting
    PS6SW
    60+, e bust, Chairperson
    PS6SX
    30+, p rickett, Secretary/clerk
    PS6SY
    55+, glynis herbert
    PS6T0
    55+, r brown
    PS6T1
    60+, t hallam
    PS6T2
    55+, h rickett
    PS6T3
    65+, d kemp
    PS6T4
    30+, s bust
    PS6T5
    51, john rose, retired music teacher, Recording the meeting.
    KM8PSUNK
    Unknown speaker, other
    KM8PSUGP
    Group of unknown speakers, other
  3930. 6711 words from Royal Courts: hearing
    PS4KB
    judge, no further information given
    KN1PS000
    unspecified
    KN1PS001
    unspecified
    KN1PS002
    unspecified
    KN1PS003
    unspecified
    KN1PSUNK
    Unknown speaker, other
    KN1PSUGP
    Group of unknown speakers, other
  3931. 15082 words from BBC Radio Nottingham: radio broadcast
    PS37G
    martin fisher, radio presenter
    PS37H
    football commentator
    PS37J
    mick walker, football manager
    PS37K
    colin slater, football commentator
    PS37L
    football commentator
    PS37M
    football commentator
    PS37N
    roy bailey, football club chairman
    PS37P
    football commentator
    PS37R
    football commentator
    KN2PSUNK
    Unknown speaker, other
    KN2PSUGP
    Group of unknown speakers, other
  3932. 19359 words from Suffolk County Council Highways and Transport Committee meeting
    PS3SD
    40, Guy, councillor
    KN3PSUNK
    Unknown speaker, other
    KN3PSUGP
    Group of unknown speakers, other
  3933. 6362 words from Albert Gunter: sermon
    PS6SU
    albert gunter, minister
    KN6PSUNK
    Unknown speaker, other
    KN6PSUGP
    Group of unknown speakers, other
  3934. 6878 words from Albert Gunter: sermon
    PS1RG
    albert gunter, minister
    KN7PS000
    unspecified
    KN7PSUNK
    Unknown speaker, other
    KN7PSUGP
    Group of unknown speakers, other
  3935. 5466 words from Albert Gunter: sermon
    PS1RH
    albert gunter, minister
    KN8PSUNK
    Unknown speaker, other
    KN8PSUGP
    Group of unknown speakers, other
  3936. 4875 words from Albert Gunter: sermon
    PS1RJ
    albert gunter, minister
    KN9PSUNK
    Unknown speaker, other
    KN9PSUGP
    Group of unknown speakers, other
  3937. 4034 words from Albert Gunter: sermon
    PS1RK
    albert gunter, minister
    KNAPSUNK
    Unknown speaker, other
    KNAPSUGP
    Group of unknown speakers, other
  3938. 3574 words from Albert Gunter: sermon
    PS1RL
    albert gunter, minister
    KNBPSUNK
    Unknown speaker, other
    KNBPSUGP
    Group of unknown speakers, other
  3939. 20634 words from Guppy's Enterprise Club - (invited speaker): lecture/seminar
    PS6LY
    50, Neal, removal man
    KNCPSUNK
    Unknown speaker, other
    KNCPSUGP
    Group of unknown speakers, other
  3940. 4448 words from Maths tutorial
    PS6M0
    50, Malcolm, tutor
    PS6M1
    15, student
    KNDPSUNK
    Unknown speaker, other
    KNDPSUGP
    Group of unknown speakers, other
  3941. 10393 words from Talk by WPC
    PS26H
    Ted, Main speaker
    PS26J
    unspecified
    PS26K
    Heather
    PS6SV
    unspecified
    KNFPS000
    unspecified
    KNFPSUNK
    Unknown speaker, other
    KNFPSUGP
    Group of unknown speakers, other
  3942. 578 words from Medical consultation
    PS6M4
    general practitioner
    PS6M5
    unspecified
    KNGPSUNK
    Unknown speaker, other
    KNGPSUGP
    Group of unknown speakers, other
  3943. 534 words from Medical consultation
    PS6M6
    general practitioner
    PS6M7
    unspecified
    KNHPSUNK
    Unknown speaker, other
    KNHPSUGP
    Group of unknown speakers, other
  3944. 409 words from Medical consultation
    PS6M8
    general practitioner
    PS6M9
    unspecified
    KNJPSUNK
    Unknown speaker, other
    KNJPSUGP
    Group of unknown speakers, other
  3945. 469 words from Medical consultation
    PS6MA
    general practitioner
    PS6MB
    unspecified
    KNKPSUNK
    Unknown speaker, other
    KNKPSUGP
    Group of unknown speakers, other
  3946. 2979 words from 3 conversations recorded by `206' (PS4XN, R 206) [dates unknown] with 5 interlocutors
    PS4XP
    19, Rachel, student, Merseyside, friend
    PS4XR
    21, Jill, student, East Anglia, friend
    PS4XS
    19, Sarah, student, Lower South-west England, self
    PS4XT
    23, Lee, student, Lower South-west England, boyfriend
    KNRPSUNK
    Unknown speaker, other
    KNRPSUGP
    Group of unknown speakers, other
  3947. 4933 words from 5 conversations recorded by `712' (PS4XU, R 712) [dates unknown] with 5 interlocutors
    PS4XU
    None, student, self
    PS4XV
    14, Barry, student, friend
    PS5AP
    None, ?
    PS5AR
    None, ?
    PS5AS
    None, ?
    KNSPSUNK
    Unknown speaker, other
    KNSPSUGP
    Group of unknown speakers, other
  3948. 291 words from 2 conversations recorded by `715' (PS4XW, R 715) [dates unknown] with 4 interlocutors
    KNTPS000
    None, ?
    PS4XW
    13, None, student, self
    PS4XX
    13, Sarah, student, friend
    KNTPSUNK
    Unknown speaker, other
    KNTPSUGP
    Group of unknown speakers, other
  3949. 65 words from 1 conversation recorded by `716' (PS4Y1, R 716) [dates unknown] with 2 interlocutors
    PS4Y1
    13, None, student, self
    PS4Y2
    32, Mother, lawyer, mother
    KNUPSUNK
    Unknown speaker, other
    KNUPSUGP
    Group of unknown speakers, other
  3950. 7356 words from 12 conversations recorded by `717' (PS4Y3, R 717) [dates unknown] with 9 interlocutors
    KNVPS000
    None, ?
    PS4Y3
    None, student, self
    PS4Y4
    48, Julian, teacher, teacher
    PS4Y5
    12, Marc, student, friend
    PS4Y6
    13, Abbey, student, friend
    PS4Y7
    16, Ado, teacher (pt), sister
    PS4Y8
    41, Dinah, secretary, mother
    PS4Y9
    11, Selassie, student, brother
    KNVPSUNK
    Unknown speaker, other
    KNVPSUGP
    Group of unknown speakers, other
  3951. 1120 words from 3 conversations recorded by `727' (PS4YL, R 727) [dates unknown] with 4 interlocutors
    PS4YL
    None, student, self
    PS4YM
    50, Richard, teacher, teacher
    PS4YN
    48, Kanti, civil servant, father
    PS4YP
    8, Shashain, student, brother
    KNWPSUNK
    Unknown speaker, other
    KNWPSUGP
    Group of unknown speakers, other
  3952. 13924 words from 9 conversations recorded by `Alex' (PS4YX, R 725) between [date unknown] and ?? ?? 1993 with 7 interlocutors
    KNYPS000
    None, ?
    PS4YX
    14, Alex, student, London, self
    PS4YY
    14, Marc, student, London, friend
    PS500
    14, Daniel, student, friend
    PS501
    13, Emma, student, London, friend
    PS6U5
    None, ?
    PS6U6
    None, ?
    KNYPSUNK
    Unknown speaker, other
    KNYPSUGP
    Group of unknown speakers, other
  3953. 7387 words from 8 conversations recorded by `Alistair' (PS50D, R 730) [dates unknown] with 6 interlocutors
    PS50D
    15, Alistair, student, self
    PS50E
    15, James, student, friend
    PS50F
    15, Jimmy, student, friend
    PS50G
    16, Rupert, student, friend
    PS50J
    15, Ben, student, friend
    KP0PSUNK
    Unknown speaker, other
    KP0PSUGP
    Group of unknown speakers, other
  3954. 66500 words from 28 conversations recorded by `Arthur2' (PS50T, R 102) between 27 February and 2 March 1992 with 7 interlocutors
    PS50T
    44, Arthur, teacher, Merseyside, self
    PS50U
    70, A., housewife, North-west Midlands, mother-in-law
    PS50V
    43, Paula, teacher, North-west Midlands, wife
    PS50W
    16, Anthony, student, Northern England, son
    PS50X
    14, Paul, student, Northern England, son
    PS50Y
    35, Philip, North-west Midlands, brother-in-law
    PS510
    72, John, retired (engineer), North-west Midlands, father-in-law
    KP1PSUNK
    Unknown speaker, other
    KP1PSUGP
    Group of unknown speakers, other
  3955. 8570 words from 11 conversations recorded by `Carla' (PS513, R 713) [dates unknown] with 8 interlocutors
    PS513
    Carla, student, self
    PS514
    13, Papya, student, friend
    PS515
    Gabriel, teacher, teacher
    PS516
    13, Flit, student, friend
    PS517
    Jones, teacher, teacher
    PS518
    13, Marsha, student, friend
    PS519
    13, Sarah, student, friend
    KP2PSUNK
    Unknown speaker, other
    KP2PSUGP
    Group of unknown speakers, other
  3956. 17457 words from 17 conversations recorded by `Caroline' (PS51F, R 726) on ?? ?? 1993 with 9 interlocutors
    KP3PS000
    None, ?
    PS51F
    14, Caroline, student, London, self
    PS51G
    14, Lyne, student, London, friend
    PS51H
    14, Derick, student, London, friend
    PS51J
    Therly, teacher, teacher
    PS51K
    14, Luch, student, London, friend
    PS51L
    Moore, teacher, teacher
    PS51M
    Richardson, teacher, London, teacher
    PS6U7
    None, ?
    KP3PSUNK
    Unknown speaker, other
    KP3PSUGP
    Group of unknown speakers, other
  3957. 32640 words from 17 conversations recorded by `Cassie' (PS51S, R 704) between [date unknown] and ?? ?? 1993 with 9 interlocutors
    KP4PS000
    None, ?
    PS51S
    15, Cassie, student, London, self
    PS51T
    15, Bonnie, student, London, friend
    PS51U
    14, Catherine, student, London, friend
    PS51V
    13, Liam, student, London, friend
    PS51W
    14, Peter, student, London, friend
    PS6P2
    13, Meg, student, friend
    PS6P3
    15, Alex, student, friend
    PS6P4
    15, Danny, student, friend
    PS6U1
    None, ?
  3958. 21997 words from 4 conversations recorded by `Catherine' (PS527, R 202) on 16 October 1993 with 3 interlocutors
    PS527
    20, Catherine, student, Home Counties, self
    PS6P5
    20, Rachel, student, Home Counties, friend
    PS6TP
    None, ?
    KP5PSUNK
    Unknown speaker, other
    KP5PSUGP
    Group of unknown speakers, other
  3959. 33704 words from 10 conversations recorded by `Catriona' (PS52C, R 733) on ?? ?? 1993 with 9 interlocutors
    PS52C
    16, Catriona, student, London, self
    PS52D
    16, Phil, student, London, friend
    PS52E
    16, Sal, student, London, friend
    PS52F
    16, Jess, student, London, friend
    PS52G
    16, Lucy, student, London, friend
    PS52H
    16, Zoe, student, London, friend
    PS52J
    16, Duncan, student, London, friend
    PS52K
    Father, artist, London, father
    PS52L
    Mother, artist, London, mother
    KP6PSUNK
    Unknown speaker, other
    KP6PSUGP
    Group of unknown speakers, other
  3960. 1806 words from 4 conversations recorded by `Chris3' (PS52N, R 600) on 3 April 1992 with 9 interlocutors
    PS52N
    35, Chris, builder, Northern England, self
    PS52P
    40, Rob, builder, North-east England, colleague
    PS52R
    45, Scon, builder, North-east England, colleague
    PS52S
    22, Mick, builder, North-east England, colleague
    PS6P8
    27, Louise, computer operator, Northern England, wife
    PS6P9
    36, Rosie, child minder, North-east England, friend
    PS6PA
    31, Phil, mortgage financier, North-east England, brother
    PS6PB
    2, Kyle, pre-school, North-east England, son
    KP7PSUNK
    Unknown speaker, other
    KP7PSUGP
    Group of unknown speakers, other
  3961. 20442 words from 7 conversations recorded by `Christopher' (PS52T, R 74) between 30 January and 8 February 1992 with 6 interlocutors
    PS52T
    33, Christopher, civil servant, Scottish, self
    PS52U
    33, Wendy, nurse (pt), Scottish, wife
    PS52V
    5, Jonathan, student (state primary), Scottish, son
    PS52W
    3, Michael, student (state pre), Scottish, son
    PS52X
    60, Norma, retired (physiotherapist), Scottish, mother
    PS52Y
    72, Hazel, housewife, London, mother-in-law
    PS530
    65+, None, watchtower representative, Scottish, stranger
    KP8PSUNK
    Unknown speaker, other
    KP8PSUGP
    Group of unknown speakers, other
  3962. 6496 words from 10 conversations recorded by `Craig' (PS532, R 709) [dates unknown] with 9 interlocutors
    PS532
    13, Craig, student, self
    PS533
    45, John, unemployed, father
    PS534
    43, Jill, shopworker, friend
    PS535
    18, Jo, shopworker, friend
    PS5AK
    None, ?
    PS5AL
    None, ?
    PS6PS
    17, Claire, student, friend
    PS6PT
    45, Frank, friend
    PS6PU
    38, Paul, friend
    KP9PSUNK
    Unknown speaker, other
    KP9PSUGP
    Group of unknown speakers, other
  3963. 26892 words from 20 conversations recorded by `Danny' (PS53C, R 728) [dates unknown] with 9 interlocutors
    KPAPS000
    None, ?
    PS53C
    13, Danny, student, self
    PS53D
    13, Andrew, student, friend
    PS53E
    Hearn, teacher, teacher
    PS53F
    13, Andrew, student, friend
    PS53G
    13, Nick, student, friend
    PS53H
    13, Dbillon, student, friend
    PS53J
    13, Daniel, student, friend
    PS53K
    14, Takeo, student, friend
    KPAPSUNK
    Unknown speaker, other
    KPAPSUGP
    Group of unknown speakers, other
  3964. 2738 words from 5 conversations recorded by `Eddie' (PS540, R 724) [dates unknown] with 3 interlocutors
    KPBPS000
    None, ?
    PS540
    15, Eddie, student, self
    PS5AW
    None, ?
    KPBPSUNK
    Unknown speaker, other
    KPBPSUGP
    Group of unknown speakers, other
  3965. 1997 words from 1 conversation recorded by `Frances' (PS543, R 612) between 2 April 1991 and [date unknown] with 4 interlocutors
    PS543
    31, Frances, sales assistant, Northern England, self
    PS544
    6, Francis, student (private primary), Northern England, son
    PS545
    5, Kaley, student (private primary), Northern England, daughter
    PS546
    1, Brett, pre-school, Northern England, son
    PS548
    31, Frank, managing director, Northern England, husband
  3966. 4826 words from 5 conversations recorded by `Gary' (PS549, R 70) on 30 January 1992 with 5 interlocutors
    PS549
    36, Gary, shunter, Scottish, self
    PS54A
    11, Laura, student, Scottish, daughter
    PS54B
    8, Karen, student, Scottish, daughter
    PS54C
    33, Lilias, shop assistant, Scottish, wife
    PS54D
    73, Jake, retired, Scottish, father-in-law
    PS54E
    71, Lilias, retired, Scottish, mother-in-law
    KPDPSUNK
    Unknown speaker, other
    KPDPSUGP
    Group of unknown speakers, other
  3967. 15481 words from 17 conversations recorded by `Grace' (PS54G, R 706) [dates unknown] with 7 interlocutors
    KPEPS000
    None, ?
    KPEPS001
    None, ?
    PS54G
    15, Grace, student, London, self
    PS54H
    15, Chantel, student, London, friend
    PS54J
    16, Fiona, student, friend
    PS54K
    15, Ian, student, London, friend
    PS54L
    18, Samantha, student, sister
    PS6U2
    None, ?
  3968. 3817 words from 22 conversations recorded by `Jock' (PS54T, R 729) [dates unknown] with 6 interlocutors
    PS54T
    16, Jock, student, self
    PS54U
    16, James, student, friend
    PS54V
    13, William, student, brother
    PS54Y
    16, Rupert, student, friend
    PS550
    16, Julian, student, friend
    KPFPSUNK
    Unknown speaker, other
    KPFPSUGP
    Group of unknown speakers, other
  3969. 42330 words from 39 conversations recorded by `Josie' (PS555, R 702) [dates unknown] with 34 interlocutors
    PS555
    14, Josie, student, London, self
    PS556
    15, Shelley, student, London, friend
    PS557
    15, Kerry, student, London, friend
    PS558
    15, Grace, student, London, friend
    PS559
    16, Daniel, student, London, friend
    PS55A
    13, Truno, student, London, friend
    PS55B
    12, Sean, student, London, friend
    PS55C
    12, Petro, student, London, friend
    PS55D
    10, Raphael, student, London, friend
    PS55E
    17, Vergina, student, London, friend
    PS55F
    13, Tina, student, London, friend
    PS55G
    Greta, housewife, friend
    PS55H
    Jane, housewife, London, friend
    PS55J
    Madigan, teacher, teacher
    PS55K
    15, Alice, student, London, friend
    PS55L
    14, Kate, student, London, friend
    PS55M
    15, James, student, London, friend
    PS55N
    15, Peter, student, London, friend
    PS55P
    Chris, housewife, friend
    PS55R
    16, Ozzi, student, friend
    PS55S
    15, Wesley, student, London, friend
    PS5AG
    None, teacher, London, teacher
    PS5AH
    15, Cassie, student, London, friend
    PS5AJ
    None, ?
    PS6R3
    15, Warren, student, London, friend
    PS6R4
    12, Jesica, student, London, friend
    PS6R5
    15, Andrew, student, London, friend
    PS6R6
    16, Karen, student, London, friend
    PS6R7
    None, London, stranger
    PS6TS
    None, ?
    PS6TT
    None, ?
    PS6TU
    None, ?
    PS6TY
    None, ?
    KPGPSUNK
    Unknown speaker, other
    KPGPSUGP
    Group of unknown speakers, other
  3970. 11244 words from 7 conversations recorded by `Kath' (PS55T, R 731) on ?? ?? 1993 with 4 interlocutors
    PS55T
    17, Kath, student, Home Counties, self
    PS55U
    17, Claire, student, Home Counties, friend
    PS55V
    17, Roxy, student, Home Counties, friend
    PS6U9
    None, friend
    KPHPSUNK
    Unknown speaker, other
    KPHPSUGP
    Group of unknown speakers, other
  3971. 3559 words from 7 conversations recorded by `Katriane' (PS560, R 76) on 31 January 1992 with 3 interlocutors
    PS560
    24, Katriane, catering manager, Scottish, self
    PS561
    32, Nina, canteen assistant, Scottish, friend
    PS562
    32, Sandy, catering manager, Scottish, colleague
    KPJPSUNK
    Unknown speaker, other
    KPJPSUGP
    Group of unknown speakers, other
  3972. 4901 words from 4 conversations recorded by `Kitty' (PS563, R 200) between 16 and 19 October 1993 with 9 interlocutors
    KPKPS000
    None, ?
    KPKPS001
    None, ?
    KPKPS002
    None, ?
    KPKPS003
    None, ?
    KPKPS004
    None, ?
    KPKPS005
    None, ?
    PS563
    23, Kitty, student, Home Counties, self
    PS564
    27, Martin, athletic events organiser, boyfriend
    PS565
    28, Steve, financial adviser, friend
    KPKPSUNK
    Unknown speaker, other
    KPKPSUGP
    Group of unknown speakers, other
  3973. 5577 words from 4 conversations recorded by `Leon' (PS56D, R 715) [dates unknown] with 4 interlocutors
    PS56D
    13, Leon, student, self
    PS56E
    13, Sarah, student, friend
    PS56F
    13, Hugo, student, friend
    KPLPSUNK
    Unknown speaker, other
    KPLPSUGP
    Group of unknown speakers, other
  3974. 9081 words from 5 conversations recorded by `Madge' (PS56M, R 620) between 8 and 9 April 1992 with 8 interlocutors
    KPMPS000
    None, ?
    KPMPS001
    None, ?
    KPMPS002
    None, ?
    KPMPS003
    None, ?
    KPMPS004
    None, ?
    KPMPS005
    None, ?
    KPMPS006
    None, ?
    PS56M
    73, Madge, retired, Central Northern England, self
    KPMPSUNK
    Unknown speaker, other
    KPMPSUGP
    Group of unknown speakers, other
  3975. 3734 words from 6 conversations recorded by `Marion' (PS571, R 203) [dates unknown] with 9 interlocutors
    PS571
    22, Marion, student, London, self
    PS572
    21, Liz, student, London, friend
    PS573
    20, Cathi, student, London, friend
    PS574
    20, Angie, student, Central Northern England, friend
    PS575
    45, None, lecturer, United States, lecturer
    PS576
    20, Rachel, student, London, friend
    PS577
    20, Lucy, student, London, friend
    PS578
    21, Alice, student, London, friend
    KPNPSUNK
    Unknown speaker, other
    KPNPSUGP
    Group of unknown speakers, other
  3976. 7616 words from 8 conversations recorded by `Matthew' (PS57A, R 718) [dates unknown] with 7 interlocutors
    PS57A
    13, Matthew, student, self
    PS57B
    17, Josh, student, friend
    PS57C
    18, Ryan, student, friend
    PS57D
    17, Lara, student, friend
    PS57E
    19, Rob, student, friend
    PS57F
    13, Alex, student, friend
    PS57G
    13, Aaron, student, friend
    KPPPSUNK
    Unknown speaker, other
    KPPPSUGP
    Group of unknown speakers, other
  3977. 9604 words from 5 conversations recorded by `Monica' (PS57L, R 204) on 19 October 1993 with 4 interlocutors
    PS57L
    21, Monica, student, Home Counties, self
    PS57M
    21, Andy, security guard, Home Counties, friend
    PS57N
    21, Nick, student, Home Counties, friend
    KPRPSUNK
    Unknown speaker, other
    KPRPSUGP
    Group of unknown speakers, other
  3978. 66 words from 1 conversation recorded by `Pamela2' (PS57P, R 71) [dates unknown] with 2 interlocutors
    PS57P
    16, Pamela, trainee warehouse assistant, Scottish, self
    PS57R
    12, Tracy, student (state secondary), Scottish, sister
    PS57S
    14, Jill, student, Scottish, friend
    KPSPSUNK
    Unknown speaker, other
    KPSPSUGP
    Group of unknown speakers, other
  3979. 7008 words from 11 conversations recorded by `Peter' (PS57T, R 701) [dates unknown] with 7 interlocutors
    KPTPS000
    None, ?
    KPTPS001
    None, ?
    PS57T
    14, Peter, student, London, self
    PS57U
    15, Tom, student, London, friend
    PS57V
    15, Muhammad, student, London, friend
    PS57W
    15, Alex, student, London, friend
    PS6RV
    15, Danny, student, London, friend
    KPTPSUNK
    Unknown speaker, other
    KPTPSUGP
    Group of unknown speakers, other
  3980. 16953 words from 4 conversations recorded by `Rachel2' (PS582, R 205) on 9 October 1993 with 4 interlocutors
    PS582
    27, Rachel, student, Home Counties, self
    PS583
    29, Anne-Marie, secretary, Home Counties, sister
    PS584
    36, Michael, p.a., Irish, friend
    PS585
    40, Gearoid, p.a., Irish, friend
    KPUPSUNK
    Unknown speaker, other
    KPUPSUGP
    Group of unknown speakers, other
  3981. 67920 words from 13 conversations recorded by `Rebecca' (PS586, R 201) between 15 and 19 October 1993 with 9 interlocutors
    KPVPS000
    None, ?
    KPVPS001
    None, ?
    KPVPS002
    None, ?
    KPVPS003
    None, ?
    PS586
    19, Rebecca, student, Home Counties, self
    PS5AF
    19, Ann, student, colleague
    PS6RW
    Anne, lecturer, lecturer
    PS6RX
    20, Kitty, student, colleague
    PS6RY
    22, Inga, student, European (Serbo-Croat), friend
    KPVPSUNK
    Unknown speaker, other
    KPVPSUGP
    Group of unknown speakers, other
  3982. 6745 words from 6 conversations recorded by `Robert2' (PS58H, R 703) [dates unknown] with 6 interlocutors
    PS58H
    15, Robert, student, Unidentifiable, self
    PS58J
    15, Obina, student, Unidentifiable, friend
    PS6SM
    18, Orgady, student, friend's sister
    PS6SN
    15, Amanda, student, sister
    PS6SP
    Mum, receptionist, mother
    KPWPSUNK
    Unknown speaker, other
    KPWPSUGP
    Group of unknown speakers, other
  3983. 5165 words from 7 conversations recorded by `Robin' (PS58K, R 723) [dates unknown] with 6 interlocutors
    PS58K
    14, Robin, student, self
    PS58L
    Jones, teacher, teacher
    PS58M
    13, Zoe, student, friend
    PS58N
    14, Ben, student, friend
    PS58P
    13, Oliver, student, friend
    PS5AV
    13, Jenny, student, friend
    KPXPSUNK
    Unknown speaker, other
    KPXPSUGP
    Group of unknown speakers, other
  3984. 7772 words from 8 conversations recorded by `Sarah' (PS58U, R 714) [dates unknown] with 9 interlocutors
    PS58U
    13, Sarah, student, self
    PS58V
    13, Charitra, student, friend
    PS58W
    13, Keat-Yee, student, friend
    PS58X
    13, Roosevelt, student, friend
    PS58Y
    37, Elizabeth, housewife, mother
    PS590
    13, Kate, student, friend
    PS591
    10, Emily, student, sister
    PS5AN
    59, Amy, retired, grandmother
    KPYPSUNK
    Unknown speaker, other
    KPYPSUGP
    Group of unknown speakers, other
  3985. 18900 words from 12 conversations recorded by `Sheila' (PS59B, R 56) between 31 January and 4 February 1992 with 9 interlocutors
    KR0PS000
    None, ?
    KR0PS001
    None, ?
    PS59B
    52, Sheila, housewife, North-east England, self
    PS59C
    50, Wendy, housewife, Central Northern England, friend
    PS59D
    23, Sharon, housewife, Central Northern England, daughter
    PS59E
    49, Edna, housewife, North-east England, friend
    PS59F
    18, Paul, serviceman, Central Northern England, son
    PS59G
    5, Michael, student, Central Northern England, grandson
    PS59H
    3, Sammy Jo, student, Central Northern England, granddaughter
    KR0PSUNK
    Unknown speaker, other
    KR0PSUGP
    Group of unknown speakers, other
  3986. 5091 words from 6 conversations recorded by `Skonev' (PS59U, R 721) [dates unknown] with 7 interlocutors
    PS59U
    12, Skonev, student, Home Counties, self
    PS59V
    13, Blake, student, friend
    PS59W
    13, Antony, student, friend
    PS59X
    45, Roland, lecturer, father
    PS59Y
    10, Caelia, student, sister
    PS5A0
    13, Patrick, student, friend
    KR1PSUNK
    Unknown speaker, other
    KR1PSUGP
    Group of unknown speakers, other
  3987. 7446 words from 13 conversations recorded by `Terry' (PS5A1, R 722) [dates unknown] with 13 interlocutors
    PS5A1
    14, Terry, student, London, self
    PS5A2
    14, Clifton, student, friend
    PS5A3
    14, Jo, student, friend
    PS5A4
    39, Mother, housewife, mother
    PS5A5
    1, Michael, pre-school, brother
    PS5A6
    14, Nick, student, friend
    PS5A7
    16, Georgina, student, sister
    PS5A8
    19, Agi, student, friend's brother
    PS5A9
    None, ?
    PS5AA
    14, Damion, student, friend
    PS5AB
    14, Bunnie, student, friend
    PS5AT
    None, ?
    PS6U4
    None, ?
  3988. 14626 words from Ideas in Action programmes: radio broadcast
    PS5R3
    a
    PS5R4
    pd
    PS5R5
    jt
    PS5R6
    dg
    PS5R7
    b
    PS5R8
    fh
    PS5R9
    pl
    PS5RA
    ct
    PS5RB
    jd
    KREPSUNK
    Unknown speaker, other
    KREPSUGP
    Group of unknown speakers, other
  3989. 26668 words from Ideas in Action programmes (02): radio broadcast
    PS5RL
    a
    PS5RM
    ps
    PS5RN
    b
    PS5RP
    cc
    PS5RR
    d
    PS5RS
    c
    PS5RT
    mc
    PS5RU
    jt
    PS5RV
    e
    KRFPSUNK
    Unknown speaker, other
    KRFPSUGP
    Group of unknown speakers, other
  3990. 41437 words from Ideas in Action programmes (03): radio broadcast
    PS5S7
    a
    PS5S8
    bb
    PS5S9
    rs
    PS5SA
    a
    PS5SB
    dv
    PS5SC
    geoffrey
    PS5SD
    norbert
    PS5SE
    anne
    PS5SF
    anne
    KRGPSUNK
    Unknown speaker, other
    KRGPSUGP
    Group of unknown speakers, other
  3991. 133562 words from Ideas in Action programmes (04): radio broadcast
    PS5T8
    a
    PS5T9
    gc
    PS5TA
    dw
    PS5TB
    tn
    PS5TC
    tb
    PS5TD
    gm
    PS5TE
    nm
    PS5TF
    sb
    PS5TG
    cd
    KRHPSUNK
    Unknown speaker, other
    KRHPSUGP
    Group of unknown speakers, other
  3992. 4657 words from Lecture on Victorian fashion
    PS5V5
    sb
    PS5V6
    a
    PS5V7
    b
    PS5V8
    c
    PS5V9
    d
    PS5VA
    e
    PS5VB
    f
    PS5VC
    g
    PS5VD
    m
    KRJPSUNK
    Unknown speaker, other
    KRJPSUGP
    Group of unknown speakers, other
  3993. 8716 words from Bill Heine radio phone-in
    PS5VF
    bh
    PS5VG
    cs
    PS5VH
    js
    PS5VJ
    hm
    PS5VK
    bm
  3994. 108940 words from Bill Heine radio phone-in (02)
    PS5VL
    js
    PS5VM
    t
    PS5VN
    j
    PS5VP
    s
    PS5VR
    m
    PS5VS
    l
    PS5VT
    b
    PS5VU
    g
    PS5VV
    jp
    KRLPSUNK
    Unknown speaker, other
    KRLPSUGP
    Group of unknown speakers, other
  3995. 49531 words from Central News (03): TV news
    PS5XN
    a
    PS5XP
    kb
    PS5XR
    b
    PS5XS
    a
    PS5XT
    c
    PS5XU
    d
    PS5XV
    e
    PS5XW
    th
    PS5XX
    f
    KRMPSUNK
    Unknown speaker, other
    KRMPSUGP
    Group of unknown speakers, other
  3996. 5972 words from St Aldates in the Civil War [talk]
    PS62F
    rk
  3997. 36016 words from Environmental Health Officers' conference: lecture
    PS62G
    a
    PS62H
    b
    PS62J
    c
    PS62K
    nf
    PS62L
    bs
    PS62M
    ro
    PS62N
    f
    PS62P
    g
    PS62R
    lf
    KRPPSUNK
    Unknown speaker, other
    KRPPSUGP
    Group of unknown speakers, other
  3998. 2116 words from Britain and Europe - European music: radio programme
    PS63E
    a
    PS63F
    mh
  3999. 2535 words from Britain and Europe - European art: radio programme
    PS63G
    a
    PS63H
    nl
  4000. 154585 words from Fox FM News: radio programme
    PS63J
    a
    PS63K
    jm
    PS63L
    aw
    PS63M
    pc
    PS63N
    bc
    PS63P
    mt
    PS63R
    nw
    PS63S
    vh
    PS63T
    jg
    PS63U
    db
    PS63V
    b
    PS63W
    tb
    PS63X
    nt
    PS63Y
    mn
    PS640
    lb
    PS641
    tr
    PS642
    mm
    PS643
    pm
    PS644
    si
    PS645
    mp
    PS646
    ts
    PS647
    c
    PS648
    jp
    PS649
    cs
    PS64A
    d
    PS64B
    cm
    PS64C
    mg
    PS64D
    e
    PS64E
    f
    PS64F
    g
    PS64G
    h
    PS64H
    as
    PS64J
    td
    PS64K
    i
    PS64L
    j
    PS64M
    mb
    PS64N
    bw
    PS64P
    cr
    PS64R
    bf
    PS64S
    k
    PS64T
    tm
    PS64U
    ar
    PS64V
    pr
    PS64W
    l
    PS64X
    cp
    PS64Y
    hh
    PS650
    ip
    PS651
    pp
    PS652
    ad
    PS653
    tc
    PS654
    ta
    PS655
    iw
    PS656
    do
    PS657
    rp
    PS658
    dg
    PS659
    cf
    PS65A
    cj
    PS65B
    gm
    PS65C
    ns
    PS65D
    dm
    PS65E
    rg
    PS65F
    go
    PS65G
    f
    PS65H
    rj
    PS65J
    jb
    PS65K
    g
    PS65L
    jm
    PS65M
    h
    PS65N
    lr
    PS65P
    mu
    PS65R
    hn
    PS65S
    i
    PS65T
    dw
    PS65U
    rh
    PS65V
    ea
    PS65W
    jh
    PS65X
    mm
    PS65Y
    df
    PS660
    nh
    PS661
    ig
    PS662
    nc
    PS663
    mh
    PS664
    tn
    PS665
    cg
    PS666
    ls
    PS667
    dh
    PS668
    Zippy
    PS669
    sj
    PS66A
    a
    PS66B
    rr
    PS66C
    ml
    PS66D
    ac
    PS66E
    jz
    PS66F
    d
    PS66G
    rb
    PS66H
    ds
    PS66J
    kg
    PS66K
    ah
    PS66L
    sw
    PS66M
    lm
    PS66N
    rm
    PS66P
    bg
    PS66R
    e
    PS66S
    cb
    PS66T
    ah
    PS66U
    bh
    PS66V
    p
    PS66W
    ak
    PS66X
    q
    PS66Y
    Bungle
    PS670
    jeffrey
    PS671
    jb
    PS672
    sh
    PS673
    sk
    PS674
    ms
    PS675
    ps
    PS676
    rv
    PS677
    aa
    PS678
    mh
    PS679
    je
    PS67A
    el
    PS67B
    ny
    PS67C
    lj
    PS67D
    ic
    PS67E
    jw
    PS67F
    na
    PS67G
    pt
    PS67H
    mi
    PS67J
    pg
    PS67K
    fd
    PS67L
    tk
    PS67M
    tp
    PS67N
    nm
    PS67P
    js
    PS67R
    gd
    PS67S
    mr
    PS67T
    pj
    PS67U
    at
    PS67V
    gw
    PS67W
    rg
    PS67X
    mj
    PS67Y
    ap
    PS680
    pa
    PS681
    fj
    PS682
    vb
    PS683
    rk
    PS684
    b
    PS685
    gb
    PS686
    jt
    PS687
    jk
    PS688
    hc
    PS689
    ra
    PS68A
    ab
    PS68B
    pk
    PS68C
    ag
    PS68D
    mw
    PS68E
    mh
    PS68F
    sp
    PS68G
    bj
    PS68H
    bw
    PS68J
    ph
    PS68K
    wt
    PS68L
    kp
    PS68M
    pl
    PS68N
    cw
    PS68P
    mb
    PS68R
    km
    PS68S
    k
    PS68T
    ss
    PS68U
    aj
    PS68V
    bg
    PS68W
    gf
    PS68X
    rs
    PS68Y
    nh
    PS690
    cl
    PS691
    dp
    PS692
    jn
    PS693
    pb
    PS694
    mf
    PS695
    ij
    PS696
    wh
    PS697
    ak
    PS698
    c
    PS699
    jc
    PS69A
    hk
    PS69B
    hm
    PS69C
    ep
    PS69D
    sp
    PS69E
    rl
    PS69F
    ti
    PS69G
    lh
    PS69H
    fw
    PS69J
    lm
    PS69K
    nr
    PS69L
    tf
    PS69M
    gp
    PS69N
    sm
    PS69P
    nk
    PS69R
    we
    PS69S
    np
    PS69T
    dc
    PS69U
    ch
    PS69V
    ef
    PS69W
    bs
    PS69X
    mc
    PS69Y
    bh
    PS6A0
    by
    PS6A1
    ch
    PS6A2
    ks
    PS6A3
    rm
    PS6A4
    jj
    PS6A5
    ca
    PS6A6
    cc
    PS6A7
    kc
    PS6A8
    jw
    PS6A9
    jmc
    PS6AA
    Fjm
    PS6AB
    kk
    PS6AC
    bo
    PS6AD
    np
    PS6AE
    ha
    PS6AF
    dw
    PS6AG
    jv
    PS6AH
    rd
    PS6AJ
    ec
    PS6AK
    wr
    PS6AL
    pd
    PS6AM
    he
    PS6AN
    dv
    PS6AP
    pe
    PS6AR
    af
    PS6AS
    lh
    PS6AT
    lc
    PS6AU
    bn
    PS6AV
    tj
    PS6AW
    ww
    PS6AX
    sr
    PS6AY
    pw
    PS6B0
    yo
    PS6B1
    fm
    PS6B2
    sa
    PS6B3
    kb
    PS6B4
    wa
    PS6B5
    vb
    PS6B6
    am
    PS6B7
    ha
    PS6B8
    rj
    PS6B9
    tf
    PS6BA
    fh
    PS6BB
    al
    PS6BC
    jl
    PS6BD
    bv
    PS6BE
    ck
    PS6BF
    zw
    PS6BG
    ac
    PS6BH
    eh
    PS6BJ
    ht
    PS6BK
    jr
    PS6BL
    pk
    PS6BM
    ma
    PS6BN
    jg
    PS6BP
    m
    PS6BS
    jo
    PS6BT
    lb
    PS6BU
    dd
    PS6BV
    am
    PS6BW
    no
    PS6BX
    dj
    PS6BY
    n
    PS6C0
    eh
    PS6C1
    bm
    PS6C2
    o
    PS6C3
    jh
    PS6C4
    r
    PS6C5
    js
    PS6C6
    at
    PS6C7
    dl
    PS6C8
    kh
    PS6C9
    bs
    PS6CA
    sc
    PS6CB
    lt
    PS6CC
    dm
    PS6CD
    na
    PS6CE
    j
    PS6CF
    id
    PS6CG
    cb
    PS6CH
    rd
    PS6CJ
    ro
    PS6CK
    gh
    PS6CL
    cm
    PS6CM
    lt
    KRTPS000
    unspecified
  4001. 17625 words from Independent Television News
    PS6CN
    vn
    PS6CP
    ng
    PS6CR
    a
    PS6CS
    dj
    PS6CT
    rm
    PS6CU
    b
    PS6CV
    wm
    PS6CW
    va
    PS6CX
    bn
    KRUPSUNK
    Unknown speaker, other
    KRUPSUGP
    Group of unknown speakers, other
  4002. 1473 words from Independent Television News (02)
    PS6FD
    jt
    PS6FE
    b
    PS6FF
    c
    PS6FG
    d
    PS6FH
    e
    PS6FJ
    f
    PS6FK
    g
    PS6FL
    rp
    PS6FM
    mw
    KRVPSUNK
    Unknown speaker, other
    KRVPSUGP
    Group of unknown speakers, other
  4003. 11670 words from
    PS6FT
    a
    PS6FU
    pu
    PS6FV
    b
    PS6FW
    sb
    PS6FX
    cd
  4004. 5488 words from The Land Army: lecture
    PS6FY
    c
    PS6G0
    dg
    PS6G1
    a
    PS6G2
    b
    PS6G3
    c
    PS6G4
    d
  4005. 6769 words from OUP Electronic Publishing Group: business meeting
    PS6G5
    ae
    PS6G6
    rm
    PS6G7
    jc
    PS6G8
    tb
    PS6G9
    sm
    PS6GA
    pm
    PS6GB
    tl
    PS6GC
    a
    PS6GD
    b
    KRYPSUNK
    Unknown speaker, other
    KRYPSUGP
    Group of unknown speakers, other
  4006. 11223 words from Oxford City Council Health and Environmental Protection Committee meeting
    PS6H7
    Chair
    PS6H8
    g
    PS6H9
    chair2
    PS6HA
    i
    PS6HB
    h
    PS6HC
    foe
    PS6HD
    b
    PS6HE
    a
    PS6HF
    ei
    PS6HG
    bp
    PS6HH
    c
    PS6HJ
    d
    PS6HK
    e
    PS6HL
    d
  4007. 21124 words from Oxford City Council Health and Environmental Protection Committee meeting (02)
    PS6HM
    chair
    PS6HN
    g
    PS6HP
    s
    PS6HR
    a
    PS6HS
    m
    PS6HT
    t
    PS6HU
    d
    PS6HV
    t
    PS6HW
    r
    PS6HX
    b
    PS6HY
    m
    PS6J0
    j
    PS6J1
    as
    PS6J2
    o
    PS6J3
    gd
    PS6J4
    c
    PS6J5
    iw
    PS6J6
    a
    PS6J7
    lk
    PS6J8
    nk
    PS6J9
    l
    PS6JA
    kd
    PS6JB
    kp
    PS6JC
    d
    PS6JD
    ar
    PS6JE
    p
    PS6JF
    gd
    PS6JG
    cm
    PS6JH
    eb
    PS6JJ
    c
    PS6JK
    k
    PS6JL
    tf
    PS6JM
    n
    PS6JN
    tr
  4008. 13693 words from Interview with Roger Black
    PS6JP
    pl
    PS6JR
    rb
  4009. 9682 words from Lecture on philosophy
    PS6JS
    jc
  4010. 3552 words from South East Arts Face the Media course: lecture
    PS6JT
    a
    PS6JU
    bh
    PS6JV
    tc
    PS6JW
    cb
    PS6JX
    cc
    PS6JY
    fs
    PS6K0
    rm
  4011. 2610 words from Minute talks with South East Arts administrators
    PS6K1
    a
    PS6K2
    fs
    PS6K3
    b
    PS6K4
    c
    PS6K5
    bh
    PS6K6
    d
  4012. 11157 words from Telephone system training course
    PS6K7
    sj
    PS6K8
    g
    PS6K9
    m
    PS6KA
    h
    PS6KB
    j
    PS6KC
    k
    PS6KD
    f
    PS6KE
    b
    PS6KF
    i
    PS6KG
    e
    PS6KH
    l
    PS6KJ
    l
    PS6KK
    ar
    PS6KL
    a
    PS6KM
    w
    PS6KN
    d
    PS6KP
    e
  4013. 42464 words from Radio Oxford, Peter Baker talking sport: radio programme
    PS6KR
    pb
    PS6KS
    hf
    PS6KT
    nh
    PS6KU
    a
    PS6KV
    js
    PS6KW
    nq
    PS6KX
    aw
    PS6KY
    rb
    PS6L0
    bh
    PS6L1
    dt
    PS6L2
    bw
    PS6L3
    ab
    PS6L4
    gc
    PS6L5
    cv
    PS6L6
    sg
    PS6L7
    mw
    PS6L8
    b
    PS6L9
    c
    PS6LA
    d
    PS6LB
    ps
    PS6LC
    cr
    PS6LD
    bc
    PS6LE
    sw
    PS6LF
    rr
    PS6LG
    kv
    PS6LH
    tp
    PS6LJ
    am
    PS6LK
    kc
    PS6LL
    ej
    PS6LM
    nr
    PS6LN
    gb
    PS6LP
    tw
    PS6LR
    tb
    PS6LS
    at
    PS6LT
    mm
    PS6LU
    ah
    PS6LV
    rt
    PS6LW
    ag
    PS6LX
    nd
  4014. 23668 words from Belfast Festival at Queen's 4-23 November 1991. u.p.
  4015. 19433 words from Today's Horse. Aceville Publications Ltd Colchester, Essex 1992-02
  4016. 13743 words from 9 conversations recorded by `Anthony2' (PS6NV, R 710) [dates unknown] with 4 interlocutors
    PS6NV
    13, Anthony, student, self
    PS6NW
    13, Kevin, student, friend
    PS6NX
    10, Patrick, student, brother
    KSNPSUNK
    Unknown speaker, other
    KSNPSUGP
    Group of unknown speakers, other
  4017. 1427 words from 2 conversations recorded by `Barry2' (PS6NY, R 711) [dates unknown] with 3 interlocutors
    PS6NY
    14, Barry, student, self
    PS6P0
    14, Peter, student, friend
    PS6P1
    12, Kevin, student, friend
    KSPPSUNK
    Unknown speaker, other
    KSPPSUGP
    Group of unknown speakers, other
  4018. 9863 words from 7 conversations recorded by `Clare2' (PS6PC, R 207) between 12 and 16 October 1993 with 12 interlocutors
    PS6PC
    21, Clare, student, London, self
    PS6PD
    30+, Gary, estate agent, London, colleague
    PS6PE
    24, Catherine, lettings negotiator, London, friend
    PS6PF
    20, Mark, student, London, friend
    PS6PG
    48, Carole, housewife, London, friend's mother
    PS6PH
    51, Dave, bank inspector, London, friend's father
    PS6PM
    29, Chris, carpenter, London, friend
    PS6PN
    40, Brian, stockbroker, London, colleague
    PS6PP
    50, Brian, banker, colleague
    PS6PR
    50, Jeff, London, colleague
    PS6TR
    None, ?
    KSRPSUNK
    Unknown speaker, other
    KSRPSUGP
    Group of unknown speakers, other
  4019. 34975 words from 16 conversations recorded by `June2' (PS6R8, R 610) between 2 and 8 April 1992 with 9 interlocutors
    PS6R8
    53, June, housewife, North-west Midlands, self
    PS6R9
    45, Arthur, unemployed, Lancashire, husband
    PS6RA
    21, Richard, radar operator, Northern England, friend
    PS6RB
    19, Angela, care assistant, Lancashire, daughter
    PS6RC
    72, Peggy, salvation army, Lancashire, mother-in-law
    PS6RD
    75, Ernest, salvation army, Northern England, father-in-law
    PS6RE
    23, Karen, nursery teacher, Northern England, daughter-in-law
    PS6RF
    27, David, unemployed, Northern England, son
    KSSPSUNK
    Unknown speaker, other
    KSSPSUGP
    Group of unknown speakers, other
  4020. 31800 words from 12 conversations recorded by `Margaret2' (PS6RG, R 120) between 20 and 27 February 1992 with 7 interlocutors
    PS6RG
    50, Margaret, housewife, Central South-west England, self
    PS6TD
    None, ?
    PS6TE
    None, ?
    PS6TF
    None, ?
    PS6TG
    None, ?
    PS6TH
    None, ?
    PS6TJ
    None, ?
    KSTPSUNK
    Unknown speaker, other
    KSTPSUGP
    Group of unknown speakers, other
  4021. 2237 words from 2 conversations recorded by `Michael2' (PS6RM, R 708) [dates unknown] with 4 interlocutors
    PS6RM
    13, Michael, student, self
    PS6RN
    45, Christine, credit controller, mother
    PS6RP
    45, Leslie, unemployed, aunt
    PS6RR
    21, Steve, unemployed, brother
    KSUPSUNK
    Unknown speaker, other
    KSUPSUGP
    Group of unknown speakers, other
  4022. 38297 words from 25 conversations recorded by `Richard2' (PS1BY, R 123) between 21 and 27 February 1992 with 8 interlocutors
    PS1BY
    16, Richard, student, self
    PS1C0
    None, ?
    PS1K2
    None, ?
    PS1K3
    None, ?
    PS1K4
    None, ?
    PS1K5
    None, ?
    PS1K6
    None, ?
    PS1K7
    None, ?
    KSVPSUNK
    Unknown speaker, other
    KSVPSUGP
    Group of unknown speakers, other
  4023. 6020 words from 6 conversations recorded by `Richard4' (PS6SG, R 707) [dates unknown] with 5 interlocutors
    PS6SG
    13, Richard, student, self
    PS6SH
    13, Frances, student, neighbour
    PS6SJ
    13, Lisa, student, neighbour
    PS6SK
    Ben, friend
    PS6SL
    Billy, friend
    KSWPSUNK
    Unknown speaker, other
    KSWPSUGP
    Group of unknown speakers, other

Formal Specification of the BNC XML schema

The structure of the XML edition of the British National Corpus is described by means of a single XML schema, which is however expressed in three different schema languages: the traditional DTD language which XML inherits from SGML; the more recently defined ISO schema language known as RELAXNG; and the W3C defined schema language. The three schema files are all generated from the same TEI-conformant XML source file, which is also used to generate the present documentation.

This section of the document contains the TEI-conformant reference specification for all components of the BNC schema. These include definitions for attribute classses, model classes, and macro patterns as well as definitions for elements and their associated attributes and possible value lists. A full description of these concepts and how they are used to define and document XML encoding schemes is given by the TEI Guidelines (in particular, in chapter TD); the following summary provides only basic information about them.

When several elements in a schema share attributes of the same name, with values drawn from a common set, they are considered to form an attribute class. The members of such a class can then all reference the same class definition rather then each repeat the same information. In the BNC, for example, the elements <bibl>,<corr>, <div>, <head>, <hi>, and half a dozen others, all have the same attribute rend which takes a coded value taken from the same short list of possibilities. Rather than repeat this definition half a dozen times therefore, the relevant elements are all said to be members of a class att.rendered, which is defined independently of those elements (but includes a list of its members). In the same way, the <w> and <mw> elements, as members of the att.c5coded class, share the same definition for the possible CLAWS5 codes specified by their c5 attribute. Note however that the element <c>, although it has an attribute c5, is not a member of this class because the possible values for this attribute on this element are entirely different.

In any reasonably large schema, and particularly one derived from the TEI model, several elements are likely to have very similar content models, since it will often be the case that at a given point in the document hierarchy any one of several possible elements will be permissible. The specific subset of elements (<w>, <mw>, <c> and a few others) which may appear within an <s> element in the BNC, is different from the subsets of elements which may appear within a <p> or <div> element. However, there are several elements which can appear in the same places as a <p>. Following TEI practice, we call the set of elements which can appear together (in sequence or alternation) at a specific place in the document hierarchy a model class. For example, since <l>, <lg>, <list>, <p>, <quote>, and <sp> are all permitted as immediate components of a <div> elements, we define a class model.divPart, of which these six elements are all members. Wherever convenient, content models are defined in terms of these model classes.

As noted above, this usage of model classes is a distinctive and pervasive feature of the TEI encoding scheme. Because the BNC derives from the TEI scheme, it uses the same names and (as far as is practicable) the same model classes throughout. Although this introduces an occasionally redundant degree of indirection in the resulting schema, it also makes clearer the relationship between the components defined for the BNC and their origins in the TEI scheme.

Finally, we define here a few macros for commonly encountered content models. These are also taken from the TEI encoding scheme, though in a few cases with different meanings. In the TEI for example, the macro macro.phraseSeq is defined as a mixture of various ‘phrase level’ elements and plain text; in the BNC scheme, it has been redefined as plain text only. The places where this macro is referenced however are unchanged; in this respect therefore, the BNC schema is a proper subset of the full BNC schema.

The remainder of this section lists in alphabetical order all of the attribute classes, model classes, elements, and macros defined for the BNC encoding scheme, using a similar method of display as the full TEI Guidelines. For each component, we give a brief description and also a usage example. Note that many of the elements listed here appear only in the corpus header rather than in the texts, and may thus be safely disregarded by applications which operate on the texts alone or in isolation.

Classes defined

Class att.ascribed

provides attributes for elements representing speech or action that can be ascribed to a specific individual.

Attributes: In addition to global attributes
who
indicates the person, or group of people, to whom the element content is ascribed.

Class: (none)

Members: change  event  setting  sp  u  vocal 

Module: tei

Class att.authorialIntervention

provides attributes describing the nature of an authorial intervention.

Attributes: In addition to global attributes
hand
signifies the hand of the agent which made the addition or performed the deletion.
status
may be used to indicate faulty deletions, e.g. strikeouts which include too much or too little text, or erroneous additions, e.g., an insertion which duplicates some of the text already present. Sample values include:
duplicate
(all of the text indicated as an addition duplicates some text that is in the original, whether the duplication is word-for-word or less exact.)
duplicate-partial
(part of the text indicated as an addition duplicates some text that is in the original)
excessStart
(some text at the beginning of the deletion is marked as deleted even though it clearly should not be deleted.)
excessEnd
(some text at the end of the deletion is marked as deleted even though it clearly should not be deleted.)
shortStart
(some text at the beginning of the deletion is not marked as deleted even though it clearly should be.)
shortEnd
(some text at the end of the deletion is not marked as deleted even though it clearly should be.)
unremarkable
(the deletion is not faulty.)
type
classifies the type of addition or deletion using any convenient typology.

Class: (none)

Members:

Module: tei

Class att.c5coded

elements which carry a CLAWS 5 Part of speech code

Attributes: In addition to global attributes
c5
supplies the CLAWS 5 code associated with this word. Legal values are:
AJ0
Adjective (general or positive) (e.g. good, old, beautiful)
AJC
Comparative adjective (e.g. better, older)
AJS
Superlative adjective (e.g. best, oldest)
AT0
Article (e.g. the, a, an, no)
AV0
General adverb: an adverb not subclassified as AVP or AVQ (see below) (e.g. often, well, longer (adv.), furthest.
AVP
Adverb particle (e.g. up, off, out)
AVQ
Wh-adverb (e.g. when, where, how, why, wherever)
CJC
Coordinating conjunction (e.g. and, or, but)
CJS
Subordinating conjunction (e.g. although, when)
CJT
The subordinating conjunction that
CRD
Cardinal number (e.g. one, 3, fifty-five, 3609)
DPS
Possessive determiner-pronoun (e.g. your, their, his)
DT0
General determiner-pronoun: i.e. a determiner-pronoun which is not a DTQ or an AT0.
DTQ
Wh-determiner-pronoun (e.g. which, what, whose, whichever)
EX0
Existential there, i.e. there occurring in the there is ... or there are ... construction
ITJ
Interjection or other isolate (e.g. oh, yes, mhm, wow)
NN0
Common noun, neutral for number (e.g. aircraft, data, committee)
NN1
Singular common noun (e.g. pencil, goose, time, revelation)
NN2
Plural common noun (e.g. pencils, geese, times, revelations)
NP0
Proper noun (e.g. London, Michael, Mars, IBM)
ORD
Ordinal numeral (e.g. first, sixth, 77th, last) .
PNI
Indefinite pronoun (e.g. none, everything, one [as pronoun], nobody)
PNP
Personal pronoun (e.g. I, you, them, ours)
PNQ
Wh-pronoun (e.g. who, whoever, whom)
PNX
Reflexive pronoun (e.g. myself, yourself, itself, ourselves)
POS
The possessive or genitive marker 's or '
PRF
The preposition of
PRP
Preposition (except for of) (e.g. about, at, in, on, on behalf of, with)
TO0
Infinitive marker to
UNC
Unclassified items which are not appropriately considered as items of the English lexicon.
VBB
The present tense forms of the verb BE, except for is, 's: i.e. am, are, 'm, 're and be [subjunctive or imperative]
VBD
The past tense forms of the verb BE: was and were
VBG
The -ing form of the verb BE: being
VBI
The infinitive form of the verb BE: be
VBN
The past participle form of the verb BE: been
VBZ
The -s form of the verb BE: is, 's
VDB
The finite base form of the verb BE: do
VDD
The past tense form of the verb DO: did
VDG
The -ing form of the verb DO: doing
VDI
The infinitive form of the verb DO: do
VDN
The past participle form of the verb DO: done
VDZ
The -s form of the verb DO: does, 's
VHB
The finite base form of the verb HAVE: have, 've
VHD
The past tense form of the verb HAVE: had, 'd
VHG
The -ing form of the verb HAVE: having
VHI
The infinitive form of the verb HAVE: have
VHN
The past participle form of the verb HAVE: had
VHZ
The -s form of the verb HAVE: has, 's
VM0
Modal auxiliary verb (e.g. will, would, can, could, 'll, 'd)
VVB
The finite base form of lexical verbs (e.g. forget, send, live, return) [Including the imperative and present subjunctive]
VVD
The past tense form of lexical verbs (e.g. forgot, sent, lived, returned)
VVG
The -ing form of lexical verbs (e.g. forgetting, sending, living, returning)
VVI
The infinitive form of lexical verbs (e.g. forget, send, live, return)
VVN
The past participle form of lexical verbs (e.g. forgotten, sent, lived, returned)
VVZ
The -s form of lexical verbs (e.g. forgets, sends, lives, returns)
XX0
The negative particle not or n't
ZZ0
Alphabetical symbols (e.g. A, a, B, b, c, d)
AJ0-AV0
Probably AJ0 (adjective), but maybe AV0 (adverb)
AJ0-NN1
Probably AJ0 (adjective), but maybe NN1 (singular noun)
AJ0-VVD
Probably AJ0 (adjective), but maybe VVD (verb past tense)
AJ0-VVG
Probably AJ0 (adjective), but maybe VVG (-ing verb)
AJ0-VVN
Probably AJ0 (adjective), but maybe VVN (verb past participle)
AV0-AJ0
Probably AV0 (adverb), but maybe AJ0 (adjective)
AVP-PRP
Probably AVP (adverb particle), but maybe PRP (preposition)
AVQ-CJS
Probably AVQ (wh- adverb), but maybe CJS (subordinating conjunction)
CJS-AVQ
Probably CJS (subordinating conjunction), but maybe AVQ (wh- adverb)
CJS-PRP
Probably CJS (subordinating conjunction), but maybe PRP (preposition)
CJT-DT0
Probably CJT ("that" as conjunction), but maybe DT0 (determiner)
CRD-PNI
Probably CRD (number), but maybe PNI (indefinite pronoun)
DT0-CJT
Probably DT0 (determiner), but maybe CJT ("that" as conjunction)
NN1-AJ0
Probably NN1 (singular noun), but maybe AJ0 (adjective)
NN1-NP0
Probably NN1 (singular noun), but maybe NP0 (proper noun)
NN1-VVB
Probably NN1 (singular noun), but maybe VVB (verb)
NN1-VVG
Probably NN1 (singular noun), but maybe VVG (-ing verb)
NN2-VVZ
Probably NN2 (plural noun), but maybe VVZ (-s verb)
NP0-NN1
Probably NP0 (proper noun), but maybe NN1 (singular noun)
PNI-CRD
Probably PNI (indefinite pronoun), but maybe CRD (number)
PRP-AVP
Probably PRP (preposition), but maybe AVP (adverb particle)
PRP-CJS
Probably PRP (preposition), but maybe CJS (subordinating conjunction)
VVB-NN1
Probably VVB (verb), but maybe NN1 (singular noun)
VVD-AJ0
Probably VVD (verb past tense), but maybe AJ0 (adjective)
VVD-VVN
Probably VVD (verb past tense), but maybe VVN (verb past participle)
VVG-AJ0
Probably VVG (-ing verb), but maybe AJ0 (adjective)
VVG-NN1
Probably VVG (-ing verb), but maybe NN1 (singular noun)
VVN-AJ0
Probably VVN (verb past participle), but maybe AJ0
VVN-VVD
Probably VVN (verb past participle), but maybe VVD (verb past tense)
VVZ-NN2
Probably VVZ (-s verb), but maybe NN2 (plural noun)

Class: (none)

Members: mw  w 

Module: module-from-bncxml

Class att.datePart

(attributes for temporal expression) attributes for component elements of temporal expressions involving dates and time

Attributes: In addition to global attributes
value
supplies the value of a date or time in a standard form.
Example

Examples of W3C date, time, and date & time formats.

 <date value="1945-10-24">24 Oct 45</date>  <date value="1996-09-24T07:25Z">September 24th, 1996 at 3:25 in the morning</date>  <time value="1999-01-04T20:42-05:00">Jan 4 1999 at 8 pm</time>  <time value="14:12:38">fourteen twelve and 38 seconds</time>  <date value="1962-10">October of 1962</date>  <date value="--06-12">June 12th</date>  <date value="---01">the first of each month</date>  <date value="--08">August</date>  <date value="2006">MMVI</date>
Example

Examples of time formats with reduced precision.

 <date value="2006-05-18T10:03+09:00">a few minutes after ten in the morning on Thu 18 May</date>  <time value="03:00">3 A.M.</time>  <time value="12">around noon</time>

Software intended for use with W3C XML Schema datatypes may be unable to properly process times expressed with reduced precision.

Example

A usage example of <date>.

This list begins in the year 1632, more precisely on Trinity Sunday, i.e. the Sunday after Pentecost, in that year the <date calendar="Julian" value="1632-06-06">27th of May (old   style)</date>.
Example

A usage example of <time>.

He likes to be punctual. I said <q>   <time value="12">around noon</time>  </q>, and he showed up at <time value="12:00:00">12 O'clock</time> on the dot.
dur
(duration) indicates the length of this element in time.
Example

Examples of W3C durations.

 <distance dur="PT45M">forty-five minutes</distance>  <distance dur="P1DT12H">a day and a half</distance>  <distance dur="P7D">a week</distance>  <distance dur="PT0.02S">20 ms</distance>

Note: In providing a ‘regularized’ form, no claim is made that the form in the source text is incorrect; the regularized form is simply that chosen as the main form for purposes of unifying variant forms under a single heading.

Class: (none)

Members:

Module: tei

Class att.editLike

Attributes: In addition to global attributes
resp
indicates the agency responsible for the intervention or interpretation, for example an editor or transcriber.

Class: (none)

Members: corr  gap 

Module: tei

Class att.identifiable

the class of elements which describe other elements by means of their generic identifiers

Attributes: In addition to global attributes
ident
supplies an element's generic identifier, or one of the codes * (meaning all elements), or name() meaning that the name of the referenced element is to be used rather than its value.
ns
supplies the namespace within which the generic identifier is to be found.

Note: The values * and name() are used for ident as well.

Class: (none)

Members: attDef  attributePolicy  elementPolicy  gi  ident  valItem  valList  valSource  xairaItem 

Module: module-from-bncxml

Class att.interpLike

provides attributes for elements which represent a formal analysis or interpretation.

Attributes: In addition to global attributes
resp
indicates who is responsible for the interpretation.
type
indicates what kind of phenomenon is being noted in the passage. Sample values include:
image
(identifies an image in the passage. )
character
(identifies a character associated with the passage. )
theme
(identifies a theme in the passage. )
allusion
(identifies an allusion to another text. )
inst
points to instances of the analysis or interpretation represented by the current element.

Class: (none)

Members:

Module: tei

Class att.personal

(attributes for components of personal names) common attributes for those elements which form part of a personal name.

Attributes: In addition to global attributes
type
provides more culture- linguistic- or application- specific information used to categorize this name component.
full
indicates whether the name component is given in full, as an abbreviation or simply as an initial. Legal values are:
yes
(the name component is spelled out in full.)
abb
(the name component is given in an abbreviated form.)
init
(the name component is indicated only by one initial.)
sort
specifies the sort order of the name component in relation to others within the personal name.

Class: (none)

Members:

Module: namesdates

Class att.rendered

the class of elements whose rendition has been recorded intermittently in the BNC

Attributes: In addition to global attributes
rend
a code briefly characterising the way the element content was originally presented. Legal values are:
bo
bold weight font
bx
boxed
hi
superscript
ib
italic and bold
ih
italic superscript
il
italic subscript
it
italic font
iu
italic and underlined
lo
subscript
qc
centre-aligned
ro
roman within italic
st
strike-out
ub
bold underlined
ul
underlined
xx
crossed-out

Class: (none)

Members: bibl  corr  div  head  hi  item  l  label  list  p  quote  stage 

Module: module-from-bncxml

Class att.spanning

provides attributes for elements which delimit a span of text by pointing mechanisms rather than by enclosing it.

Attributes: In addition to global attributes
spanTo
indicates the end of a span initiated by the element bearing this attribute.

Note: The span is defined as running in document order from the start of the content of the pointing element (if any) to the end of the content of the element pointed to by the spanTo attribute (if any). If no value is supplied for the attribute, the assumption is that the span is coextensive with the pointing element.

Class: (none)

Members:

Module: tei

Class att.tableDecoration

provides attributes used to decorate rows or cells of a table.

Attributes: In addition to global attributes
role
indicates the kind of information held in this cell or in each cell of this row. Suggested values include:
label
(labelling or descriptive information only.)
data
(data values.)
rows
indicates the number of rows occupied by this cell or row.
cols
indicates the number of columns occupied by this cell or row.

Class: (none)

Members:

Module: tei

Class att.timed

Attributes: In addition to global attributes
dur
(duration) indicates the duration of the element in minutes.

Class: (none)

Members: event  pause  unclear  vocal 

Module: tei

Class att.typed

Attributes: In addition to global attributes
type
characterizes the element in some sense, using any convenient classification scheme or typology.

Class: (none)

Members:

Module: tei

Class att.uniqueId

the class of elements which carry an identifier which is unique across the whole corpus.

Attributes: In addition to global attributes
xml:id
provides the unique identifier for this element.

Class: (none)

Members: bncDoc  category  person  recording  setting  taxonomy 

Module: module-from-bncxml

Class model.assertLike

the class of elements concerning which assertions are made, for example as parts of a biographical element.

Class: model.personPart

Class: model.personPart

Members: model.persStateLike  [age  dialect  occupation  persName  persNote  ]

Module: tei

Class model.biblLike

groups elements containing a bibliographic description.

Class: model.inter: model.common

Class: model.inter: model.common

Members: bibl 

Module: tei

Class model.blockLike

groups segmenting elements.

Class: (none)

Members:

Module: tei

Class model.castItemPart

elements used within an entry in a cast list, such as dramatic role or actor's name.

Class:

Members:

Module: tei

Class model.catDescPart

groups elements which may be used inside catDesc and appear multiple times

Class: (none)

Members:

Module: tei

Class model.complexVal

(complex values) groups elements which express complex feature values in feature structures.

Class: model.featureVal

Class: model.featureVal

Members:

Module: tei

Class model.dateLike

(dates and date ranges) groups elements containing a date specifications.

Class: model.pPart.data: model.recordingPart

Note: This class allows certain content models to allow either a single date or a date-range element.

Class: model.pPart.data: model.recordingPart

Members: date 

Module: tei

Class model.datePart

(temporal expression) groups component elements of temporal expressions involving dates and time.

Class: (none)

Members:

Module: tei

Class model.divPart

groups elements which can occur between, but not within, paragraphs and other chunks.

Class: model.common

Note: Note that this element class does not include members of the inter class, which can appear either within or between chunks. Unlike elements of that class, chunks cannot occur within chunks.

Class: model.common

Members: l  lg  list  note  p  quote  sp 

Module: tei

Class model.divPart.spoken

groups those elements which appear at the component level in spoken texts only.

Class: (none)

Members: event  pause  shift  trunc  u  vocal 

Module: spoken

Class model.divWrapper

(top-of-div elements) groups elements which can occur at the start of any division class element.

Class: (none)

Members: head 

Module: tei

Class model.divWrapper.bottom

(Bottom-of-division elements) groups elements which can occur at the end of a text division; for example, trailer, byline, etc.

Class: (none)

Members:

Module: tei

Class model.editorialDeclPart

groups elements which may be used inside editorialDecl and appear multiple times

Class: (none)

Members:

Module: header

Class model.encodingPart

groups elements which may be used inside encodingDesc and appear multiple times

Class: (none)

Members: classDecl  editorialDecl  projectDesc  refsDecl  samplingDecl  tagsDecl  xairaSpecification 

Module: header

Class model.frontPart.drama

groups elements which appear at the level of divisions within front or back matter of performance texts only.

Class: model.frontPart

Class: model.frontPart

Members:

Module: tei

Class model.gLike

groups elements which are interspersed with normal text, representing non-Unicode items.

Class: (none)

Members:

Module: tei

Class model.global

(global inclusions ) groups empty elements which may appear at any point within a TEI text.

Class: (none)

Members: model.global.edit  [gap  ] model.milestoneLike  [pb  ]

Module: tei

Class model.global.edit

groups empty elements which perform a specifically editorial function, for example by indicating the start of a span of text added, deleted, or missing in a source.

Class: model.global

Note: Members of this class can appear anywhere within a document, between or within components or phrases.

Class: model.global

Members: gap 

Module: tei

Class model.glossLike

groups elements which provide an alternative name, explanation, or description for any markup construct.

Class: (none)

Members: desc 

Module: tei

Class model.headerPart

groups elements which may be used inside teiHeader and appear multiple times

Class: (none)

Members: encodingDesc  profileDesc 

Module: header

Class model.hiLike

groups phrase-level elements related to highlighting.

Class: model.phrase

Class: model.phrase

Members: hi 

Module: tei

Class model.imprintPart

groups the bibliographic elements which occur inside imprints.

Class: model.biblPart

Class: model.biblPart

Members: pubPlace  publisher 

Module: tei

Class model.inter

Attributes: Global attributes only

Class: (none)

Members: model.biblLike  [bibl  ] model.listLike  [list  ] model.noteLike  model.oddRef  model.qLike  [lg  quote  ] model.stageLike  [stage  ]

Module: tei

Class model.lLike

groups elements representing metrical components such as verse lines.

Class:

Members: l 

Module: tei

Class model.listLike

groups all list-like elements.

Class: model.inter: model.common

Class: model.inter: model.common

Members: list 

Module: tei

Class model.milestoneLike

(reference system elements) groups milestone-style elements used to represent reference systems

Class: model.global

Class: model.global

Members: pb 

Module: tei

Class model.nameLike

(names of people, places, or organizations, or refering strings) groups those elements which name or refer to a person, place (man-made or geographic), or organization

Class: model.addrPart: model.pPart.data

Note: A superset of the naming elements that may appear in datelines, addresses, statements of responsibility, etc.

Class: model.addrPart: model.pPart.data

Members: model.nameLike.agent  [name  ]

Module: tei

Class model.nameLike.agent

groups elements which contain names of individuals or corporate bodies.

Class: model.nameLike

Note: This class is used in the content model of elements which reference names of people or organizations.

Class: model.nameLike

Members: name 

Module: tei

Class model.noteLike

groups all note-like elements.

Class: model.inter: model.common

Class: model.inter: model.common

Members:

Module: tei

Class model.oddRef

(ODD reference class) groups elements which reference declarations in some markup language in ODD documents.

Class: model.common: model.inter

Class: model.common: model.inter

Members:

Module: tei

Class model.pLike

The class of elements which are paragraphs for the purpose of interchange.

Class: (none)

Members: p 

Module: tei

Class model.pLike.front

(Front matter chunk elements) groups elements which can occur as direct constituents of front matter, when a full title page is not given.

Class: (none)

Members:

Module: tei

Class model.pPart.data

groups phrase-level elements containing names, dates, numbers, measures, and similar data.

Class: model.phrase

Class: model.phrase

Members: address  model.dateLike  [date  ] model.nameLike  [model.nameLike.agent  ]

Module: tei

Class model.pPart.edit

groups phrase-level elements for simple editorial correction and transcription.

Class: model.phrase

Class: model.phrase

Members: corr  unclear 

Module: tei

Class model.persNamePart

(components of personal names) groups those elements which form part of a personal name.

Class: (none)

Members:

Module: namesdates

Class model.persStateLike

the class of elements describing changeable characteristics of a person which have a definite duration, for example occupation, residence, name... These characteristics of an individual are typically a consequence of their own action or that of others.

Class: model.assertLike

Class: model.assertLike

Members: age  dialect  occupation  persName  persNote 

Module: tei

Class model.personLike

the class of elements used to provide information about people and thir relationships.

Note: This class is referenced in the header module, but is not populated unless the namesdates module is loaded.

Class: (none)

Members:

Module: tei

Class model.personPart

groups elements which describe characteristics of the people referenced by a text, or participating in a language interaction.

Note: This class is used to define the content model for the <person> and <personGrp> elements.

Class: (none)

Members: model.assertLike  [model.persStateLike  ]

Module: tei

Class model.phrase

Attributes: Global attributes only

Class: (none)

Members: model.hiLike  [hi  ] model.pPart.data  [address  model.dateLike  model.nameLike  ] model.pPart.edit  [corr  unclear  ] model.ptrLike  [align  ] model.segLike  [c  mw  s  w  ]

Module: tei

Class model.physDescPart

specialised descriptive elements constituting the physical description of a manuscript or similar written source.

Class:

Members:

Module: tei

Class model.placeNamePart

(place name components) groups those elements which form part of a place name.

Class: (none)

Members:

Module: tei

Class model.profileDescPart

groups elements which may be used inside profileDesc and appear multiple times

Class: (none)

Members: langUsage  particDesc  settingDesc  textClass 

Module: header

Class model.ptrLike

groups elements used for purposes of location and reference

Class: model.phrase

Class: model.phrase

Members: align 

Module: tei

Class model.publicationStmtPart

(publication statement elements) groups the children of publicationStmt

Class: (none)

Members: address  availability  date  distributor  idno  pubPlace  publisher 

Module: tei

Class model.qLike

groups elements related to highlighting which can appear either within or between chunk-level elements.

Class: model.inter: model.common

Class: model.inter: model.common

Members: lg  quote 

Module: tei

Class model.quoteLike

(quote and similar elements) groups elements used to directly contain quotations.

Class:

Members:

Module: tei

Class model.recordingPart

(dates and date ranges) groups elements used to describe details of an audio or video recording

Class: (none)

Members: model.dateLike  [date  ]

Module: tei

Class model.respLike

groups elements which are used to indicate intellectual responsibility, for example within a bibliographic element.

Class: model.biblPart: model.msItemPart

Class: model.biblPart: model.msItemPart

Members: author  editor 

Module: tei

Class model.segLike

Class: model.phrase

Attributes: Global attributes only

Class: model.phrase

Members: c  mw  s  w 

Module: tei

Class model.settingPart

elements used to describe the setting of a linguistic interaction.

Class:

Members: activity  locale  placeName 

Module: tei

Class model.singleVal

(atomic values) group elements used to represent atomic feature values in feature structures.

Class: model.featureVal

Class: model.featureVal

Members:

Module: tei

Class model.sourceDescPart

groups elements which may be used inside sourceDesc and appear multiple times

Class: (none)

Members: recordingStmt 

Module: header

Class model.stageLike

Class: model.divPart.stage: model.inter

Attributes: Global attributes and those inherited from [model.divPart.stage ]

Class: model.divPart.stage: model.inter

Members: stage 

Module: tei

Class model.textDescPart

elements used to categorise a text for example in terms of its situational parameters.

Class:

Members:

Module: tei

Class model.titlepagePart

(Title page elements) groups those elements which can occur as direct constituents of a title page (docTitle, docAuth, docImprint, epigraph, etc.)

Class: (none)

Members:

Module: tei

Elements defined

<activity>

(activity) contains a brief informal description of what a participant in a language interaction is doing other than speaking, if anything.

Class: model.settingPart

Declaration

element activity { attribute spont { text }?, macro.phraseSeq }

Attributes: In addition to global attributes
spont
level of spontaneity Values are:
H
high
M
medium
L
low
X
not applicable or unknown

Example

 <activity>driving</activity>

Module: corpus

<address>

contains a postal or other address, for example of a publisher, an organization, or an individual.

Class: model.pPart.data: model.publicationStmtPart

Declaration

element address { macro.phraseSeq }

Attributes: Global attributes only

Example

 <address>natcorp@oucs.ox.ac.uk</address>

Example

 <address>13 Banbury Road, Oxford OX2 6NN,UK</address>

Module: core

<age>

specifies the age in years of a recorded participant at the time of the recording in which they participate.

Class: model.persStateLike

Declaration

element age { macro.phraseSeq }

Attributes: Global attributes only

Example

 <age>25</age>

Module: namesdates

<align>

marks an temporal alignment point within transcribed speech

Class: model.ptrLike

Declaration

element align { attribute with { data.pointer }, empty }

Attributes: In addition to global attributes

Example

 <u who="PS6SF">   <s n="12">    <w c5="VVB" hw="tell" pos="VERB">tell </w>    <w c5="NP0" hw="billy" pos="SUBST">Billy </w>    <align with="KSWLC001"/>    <w c5="DT0" hw="that" pos="ADJ">that </w>   </s>  </u>  <u who="PS6SJ">   <s n="13">    <align with="KSWLC001"/>    <w c5="ITJ" hw="hello" pos="INTERJ">Hello </w>    <w c5="AV0" hw="now" pos="ADV">now </w>    <w c5="VM0" hw="can" pos="VERB">can </w>    <w c5="PNP" hw="you" pos="PRON">you </w>    <w c5="VVI" hw="hear" pos="VERB">hear </w>    <w c5="PNP" hw="i" pos="PRON">me</w>   </s>  </u>

Module: module-from-bncxml

<attDef>

(attribute definition) provides the definition for a single attribute.

Class: att.identifiable

Declaration

element attDef { att.identifiable.attributes, att.identifiable.attribute.ident, ( desc*, valList? ) }

Attributes: Global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident

Module: tagdocs

<attList>

contains documentation for all the attributes associated with this element, as a series of attDef elements.

Declaration

element attList { attDef+ }

Attributes: Global attributes only

Module: tagdocs

<attributePolicy>

specifies the indexing policy to be used for one or more attributes.

Class: att.identifiable

Declaration

element attributePolicy { att.identifiable.attributes, attribute ident { data.name }?, att.identifiable.attribute.ns, attribute type { "none" | "jointo" | "joinfrom" | "taxonomy" }?, ( nameList?, joinTo? ) }

Attributes: In addition to global attributes and those inherited from [att.identifiable ]
ident
identifies the attribute to which the indexing policy applies
att.identifiable.attribute.ns

Module: module-from-bncxml

<author>

in a bibliographic reference, contains the name of the author(s), personal or corporate, of a work; the primary statement of responsibility for any bibliographic item.

Class: model.respLike

Declaration

element author { attribute domicile { text }?, attribute n { text }?, attribute born { text }?, macro.phraseSeq }

Attributes: In addition to global attributes
domicile
main country of residence where known
n
internal identifier
born
year of birth where known

Example

 <author n="AubreC1" domicile="Britain">Aubrey, Crispin</author>

Module: core

<availability>

supplies information about the availability of a text, for example any restrictions on its use or distribution, its copyright status, etc.

Class: model.publicationStmtPart

Declaration

element availability { ( text | para )* }

Attributes: Global attributes only

Example

 <availability> This  material is protected by international copyright laws and  may not be copied or redistributed in any way. Consult the BNC Web  Site at http://www.natcorp.ox.ac.uk for full licencing and distribution conditions.</availability>

Module: header

<bibl>

(bibliographic citation) contains any bibliographic reference, occurring either within the header of a written corpus text in which case it has a fixed substructure, or within the body of a corpus text, in which case it contains only s elements.

Class: att.rendered: model.biblLike

Declaration

element bibl { att.rendered.attributes, att.rendered.attribute.rend, ( s+ | ( title+, ( editor | author )*, imprint, pp? ) ) }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <bibl>   <title>British intelligence services in action. </title>   <author n="LindsK1" born="1924">Lindsay, Kennedy</author>   <imprint n="DUNROD1">    <publisher>Dunrod Press</publisher>    <pubPlace>Dundalk, Ireland</pubPlace>    <date value="1980">1980</date>   </imprint>   <pp>74-176</pp>  </bibl>

Module: core

<bncDoc>

contains a distinct document within the corpus, either spoken or written.

Class: att.uniqueId

Declaration

element bncDoc { att.uniqueId.attributes, att.uniqueId.attribute.xmlid, ( teiHeader, ( wtext | stext ) ) }

Attributes: Global attributes and those inherited from [att.uniqueId ]
att.uniqueId.attribute.xmlid

Module: module-from-bncxml

<c>

(character) contains a significant punctuation mark as identified by the CLAWS tagger.

Class: model.segLike: att.segLike

Declaration

element c { model.segLike.attributes, attribute c5 { "PUN" | "PUL" | "PUR" | "PUQ" }, text }

Attributes: In addition to global attributes and those inherited from [att.segLike ]
c5
the CLAWS 5 code associated with this punctuation mark. Legal values are:
PUN
any separating punctuation mark
PUL
opening round or square parenthesis
PUR
closing round or square parenthesis
PUQ
any quotation mark

Example

 <c c5="PUN">?</c>

Note: Character data. Should only contain a single character or an entity that represents a single character.

Module: analysis

<catDesc>

(category description) provides a description for one category within the text taxonomies provided in the corpus header.

Declaration

element catDesc { macro.phraseSeq }

Attributes: Global attributes only

Example

 <category xml:id="ACPROSE">   <catDesc>Academic prose</catDesc>  </category>

Module: header

<catRef>

(category reference) provides a list of codes identifying the categories to which this text has been assigned, each code referencing a category element declared in the corpus header.

Declaration

element catRef { attribute targets { data.pointers }, empty }

Attributes: In addition to global attributes
targets
identifies the categories concerned

Example

 <catRef    targets="WRI ALLTIM3 ALLAVA2 ALLTYP3 WRIAAG0 WRIAD1 WRIASE1 WRIATY3 WRIAUD3 WRIDOM7 WRILEV1 WRIMED1 WRIPP5 WRISAM2 WRISTA2 WRITAS3"/>

Module: header

<category>

(category) defines a single category within a taxonomy of texts.

Class: att.uniqueId

Declaration

element category { att.uniqueId.attributes, att.uniqueId.attribute.xmlid, catDesc }

Attributes: Global attributes and those inherited from [att.uniqueId ]
att.uniqueId.attribute.xmlid

Example

 <category xml:id="FICTION">   <catDesc>Fiction and verse</catDesc>  </category>

Module: header

<change>

summarizes a particular change or correction made to a particular version of an electronic text which is shared between several researchers.

Class: att.ascribed

Declaration

element change { att.ascribed.attributes, attribute date { data.temporal }?, att.ascribed.attribute.who, macro.phraseSeq }

Attributes: In addition to global attributes and those inherited from [att.ascribed ]
date
supplies the date of the change in standard form, i.e. yyyy-mm-dd.
att.ascribed.attribute.who

Example

 <change date="2006-10-21" who="#OUCS">Tag usage updated for BNC-XML</change>

Note: Changes should be recorded in a consistent order, for example with the most recent first.

Module: header

<classCode>

(classCode) contains the classification code used for this text in some standard classification system.

Declaration

element classCode { attribute scheme { data.pointer }, macro.phraseSeq }

Attributes: In addition to global attributes

Example

 <classCode scheme="#DDC12">410</classCode>

Module: header

<classDecl>

(classification declarations) contains one or more taxonomies defining any classificatory codes used elsewhere in the text.

Class: model.encodingPart

Declaration

element classDecl { taxonomy+ }

Attributes: Global attributes only

Module: header

<collate>

supplies any additional ICU-conformant collating rules to be used when sorting words in the corpus.

Declaration

element collate { text }

Attributes: Global attributes only

Note: The format for collating rules is defined at http://icu.sourceforge.net/userguide/Collate_Customization.html

Module: module-from-bncxml

<corr>

(correction) contains the correct form of a passage apparently erroneous in the copy text.

Class: att.rendered: att.editLike: model.pPart.edit

Declaration

element corr { att.rendered.attributes, att.editLike.attributes, attribute sic { text }?, att.rendered.attribute.rend, attribute resp { data.pointer }?, ( w | c | mw | gap )* }

Attributes: In addition to global attributes and those inherited from [att.rendered att.editLike ]
sic
contains verbatim text which has been corrected, or an empty string if the correction consists of an addition.
att.rendered.attribute.rend
resp
a code identifying the agency responsible for making the correction.

Example

 <corr sic="existant">   <w c5="AJ0" hw="existent" pos="ADJ">existent </w>  </corr>

Module: core

<creation>

contains information about the creation of a text.

Declaration

element creation { attribute date { data.temporal }?, macro.phraseSeq }

Attributes: In addition to global attributes
date
supplies the year of original composition, if known; or 000-00-00 if the date is unknown.

Example

 <creation date="0000-00-00"> Origination/creation date not known </creation>

Example

 <creation date="1986"> Original publisher: A & C Black (Publishers) Ltd, London </creation>

Module: header

<date>

contains a date in any format.

Class: model.dateLike: model.publicationStmtPart

Declaration

element date { attribute value { data.temporal }?, macro.phraseSeq }

Attributes: In addition to global attributes
value
supplies a standardized representation of the date

Example

 <date value="1991-02-16">1991-02-16</date>

Example

 <date value="1989">1989</date>

Module: core

<defaultVal>

specifies the default declared value for an attribute.

Declaration

element defaultVal { text }

Attributes: Global attributes only

Example

 <defaultVal>#IMPLIED</defaultVal>

Note: any legal declared value or TEI-defined keyword

Module: tagdocs

<desc>

(description) supplies explanatory text associated with a category or other component defined in the corpus header

Class: model.glossLike: att.translatable

Declaration

element desc { macro.phraseSeq }

Attributes: Global attributes and those inherited from [att.translatable ]

Example

 <desc>contains a brief description of the purpose and application for  an element, attribute, attribute value, class, or entity.</desc>

Note: TEI convention requires that this be expressed as a finite clause, begining with an active verb.

Module: core

<dialect>

contains an informal description of the regional variety of English used by a participant in a spoken text.

Class: model.persStateLike

Declaration

element dialect { macro.phraseSeq }

Attributes: Global attributes only

Example

 <dialect>Home Counties</dialect>

Module: module-from-bncxml

<distributor>

supplies the name of a person or other agency responsible for the distribution of a text.

Class: model.biblPart: model.publicationStmtPart

Declaration

element distributor { macro.phraseSeq }

Attributes: Global attributes and those inherited from [model.biblPart ]

Example

 <distributor>Distributed under licence by Oxford University Computing Services on behalf of the BNC Consortium.</distributor>

Module: header

<div>

(text division) contains a subdivision of the front, body, or back of a text.

Class: att.rendered

Declaration

element div { att.rendered.attributes, attribute n { text }?, attribute decls { data.pointers }?, attribute level { data.count }?, attribute type { text }?, att.rendered.attribute.rend, ( ( model.divWrapper | model.global )*, ( ( ( model.divPart ), ( model.divPart | model.global )* ) | ( ( model.divPart.spoken ), ( model.divPart.spoken | model.global )* ) )?, div* ) }

Attributes: In addition to global attributes and those inherited from [att.rendered ]
n
for a spoken text, identities the tape corresponding to this division.
decls
for a spoken text, identities the declarations (for setting, recording etc.) in the header which apply to this division.
level
specifies the hierarchic level of this division as a number between 1 (outermost or largest division) and 4 (innermost or smallest).
type
identifies the type or function of the division (for a written text). Values are:
advertisement
advertisement section or insert
appendix
appendix
article
single article in a journal
blurb
any kind of promotional front matter
cartoon
cartoon
chapter
chapter of a novel etc.
column
newspaper column, regular feature etc.
compo
composite material
contents
table of contents
front
any kind of front matter
leaflet
free-standing leaflet or pamphlet
paper
an academic paper in a collection
part
subdivision of a chapter
recipe
separate recipe in a cookbook
section
any subdivision
sidebar
sidebar or displayed paragraph e.g. in a news story
story
distinct story in a periodical or collection
subsection
smaller subdivision of any kind
att.rendered.attribute.rend

Example

 <div level="1" n="1" type="chapter">   <head rend="it">    <s n="1">     <w c5="AV0" hw="so" pos="ADV">So </w>     <w c5="PNP" hw="you" pos="PRON">you </w>     <w c5="VVB" hw="want" pos="VERB">want </w>     <w c5="TO0" hw="to" pos="PREP">to </w>     <w c5="VBI" hw="be" pos="VERB">be </w>     <w c5="AT0" hw="an" pos="ART">an </w>     <w c5="NN1" hw="actor" pos="SUBST">Actor</w>     <c c5="PUN">?</c>    </s>   </head>   <p>    <s n="2">     <w c5="PNI" hw="everyone" pos="PRON">Everyone </w>     <w c5="PNQ" hw="who" pos="PRON">who </w>     <w c5="VVZ" hw="want" pos="VERB">wants     ... </w>    </s>   </p>  </div>

Note: any sequence of low-level structural elements, possibly grouped into lower subdivisions.

Module: textstructure

<edition>

(Edition) describes the particularities of one edition of a text.

Class: model.biblPart

Declaration

element edition { attribute n { data.count }?, macro.phraseSeq }

Attributes: In addition to global attributes and those inherited from [model.biblPart ]
n
supplies an identifying number for the edition

Example

 <editionStmt>   <edition>BNC XML Edition, December 2006</edition>  </editionStmt>

Module: header

<editionStmt>

(edition statement) groups information relating to one edition of a text.

Declaration

element editionStmt { edition }

Attributes: Global attributes only

Example

 <editionStmt>   <edition>BNC XML Edition, December 2006</edition>  </editionStmt>

Module: header

<editor>

(editor) secondary statement of responsibility for a bibliographic item, for example the name of an individual, institution or organization, (or of several such) acting as editor, compiler, translator, etc.

Class: model.respLike

Declaration

element editor { attribute n { text }?, macro.phraseSeq }

Attributes: In addition to global attributes
n
supplies a number for the editor where multiple editors are specified for a single text

Example

 <editor n="2">Boileau, John</editor>

Module: core

<editorialDecl>

(editorial practice declaration) provides details of editorial principles and practices applied during the encoding of a text.

Class: model.encodingPart: att.declarable

Declaration

element editorialDecl { ( text | para )* }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <editorialDecl>   <para>Material included in the BNC was produced by   several different agencies ...</para>  </editorialDecl>

Note: This element is supplied in the BNC corpus header only

Module: header

<elementPolicy>

specifies the xaira indexing policy to be used for one or more elements.

Class: att.identifiable

Declaration

element elementPolicy { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, attribute type { "none" | "children" | "content" | "markup" }?, nameList? }

Attributes: In addition to global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: module-from-bncxml

<encodingDesc>

(Encoding description) documents the relationship between an electronic text and the source or sources from which it was derived.

Class: model.headerPart

Declaration

element encodingDesc { model.encodingPart* }

Attributes: Global attributes only

Example

 <encodingDesc>   <projectDesc>    <para>The British National Corpus (BNC) Consortium was formed in     1990...</para>   </projectDesc>   <samplingDecl>    <para>Definitive information on the sampling policies...     </para>   </samplingDecl>   <editorialDecl>    <para>Material included in the BNC was produced by    several different agencies ...</para>   </editorialDecl>   <refsDecl>    <para>Canonical references to the BNC should ...</para>   </refsDecl>   <classDecl>    <taxonomy xml:id="DLee">     <desc>David Lee's register and domain classification</desc>    </taxonomy>...    </classDecl>   <xairaSpecification>   ...</xairaSpecification>  </encodingDesc>

Note: Used in corpus header only

Module: header

<event>

(Event) any phenomenon or occurrence, not necessarily vocalized or communicative, for example incidental noises or other events affecting communication.

Class: model.divPart.spoken: att.timed: att.ascribed

Declaration

element event { att.timed.attributes, att.ascribed.attributes, attribute desc { text }?, att.timed.attribute.dur, empty }

Attributes: In addition to global attributes and those inherited from [att.timed att.ascribed ]
desc
provides a brief description of the event
att.timed.attribute.dur

Example

 <event desc="music playing"/>

Module: spoken

<extent>

specifies the approximate size of the text, in orthographic words, w elements, and s elements

Class: model.biblPart

Declaration

element extent { macro.phraseSeq }

Attributes: Global attributes and those inherited from [model.biblPart ]

Example

 <extent>432434 tokens; 432859 w-units; 26215 s-units</extent>

Module: header

<fileDesc>

(File Description) contains a full bibliographic description of an electronic file.

Declaration

element fileDesc { macro.fileDescPart, sourceDesc+ }

Attributes: Global attributes only

Note: The major source of information for those seeking to create a catalogue entry or bibliographic citation for an electronic file. As such, it provides a title and statements of responsibility together with details of the publication or distribution of the file, of any series to which it belongs, and detailed bibliographic notes for matters not addressed elswhere in the header. It also contains a full bibliographic description for the source or sources from which the electronic text was derived.

Module: header

<gap>

(omitted material) indicates a point where material has been omitted from the transcription.

Class: model.global.edit: att.editLike

Declaration

element gap { att.editLike.attributes, attribute desc { text }?, attribute reason { text }?, att.editLike.attribute.resp, empty }

Attributes: In addition to global attributes and those inherited from [att.editLike ]
desc
briefly describes the material which has been omitted.
reason
gives further details of the reason for omission.
att.editLike.attribute.resp

Example

 <gap desc="address" resp="OUP"/>

Module: core

<gi>

(generic identifier) contains the name (generic identifier) of an element.

Class: att.identifiable

Declaration

element gi { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, text }

Attributes: Global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: tagdocs

<head>

(heading) contains any type of heading, for example the title of a section or a poem.

Class: att.rendered: model.divWrapper

Declaration

element head { att.rendered.attributes, attribute type { "MAIN" | "SUB" | "BYLINE" }?, att.rendered.attribute.rend, ( s | gap | pb )+ }

Attributes: In addition to global attributes and those inherited from [att.rendered ]
type
Legal values are:
MAIN
a major heading.
SUB
any sub-heading.
BYLINE
a sub-heading providing the name of a journalist or other source of a newspaper report.
att.rendered.attribute.rend

Example

 <head rend="ub" type="MAIN">   <s n="93">    <w c5="VDB" hw="do" pos="VERB">Do </w>    <w c5="PNP" hw="i" pos="PRON">I </w>    <w c5="VVI" hw="need" pos="VERB">need </w>    <w c5="DT0" hw="any" pos="ADJ">any </w>    <w c5="NN1" hw="training" pos="SUBST">training</w>    <c c5="PUN">?</c>   </s>  </head>

Note: The <head> element is used for headings at all levels; software which treats (e.g.) chapter headings, section headings, and list titles differently must determine the proper processing of a <head> element based on its structural position. A <head> occurring as the first element of a list is the title of that list; one occurring as the first element of a <div1> is the title of that chapter or section.

Module: core

<hi>

(highlighted) marks a word or phrase as graphically distinct from the surrounding text, for reasons concerning which no claim is made.

Class: att.rendered: model.hiLike

Declaration

element hi { att.rendered.attributes, att.rendered.attribute.rend, macro.paraContent }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <exemplum>   <egXML>    <s n="2211">     <hi rend="it">      <w c5="NN1" hw="apple" pos="SUBST">Apple      </w>     </hi>     <w c5="VBZ" hw="be" pos="VERB">is </w>     <w c5="PRP" hw="to" pos="PREP">to </w>     <hi rend="it">      <w c5="NN0" hw="fruit" pos="SUBST">fruit </w>     </hi>     <w c5="CJS-PRP" hw="as" pos="CONJ">as     </w>     <hi rend="it">      <w c5="NN1" hw="dog" pos="SUBST">dog </w>     </hi>     <w c5="VBZ" hw="be" pos="VERB">is </w>     <w c5="PRP" hw="to" pos="PREP">to     </w>     <hi rend="it">      <w c5="ZZ0" hw="x" pos="SUBST">X </w>     </hi>     <c c5="PUN">.</c>    </s>   </egXML>  </exemplum> <!-- FAC -->

Module: core

<ident>

contains an identifier or name for an object of some kind in a formal language

Class: att.identifiable

Declaration

element ident { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, text }

Attributes: Global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Note: In running prose, this element may be used for any kind of identifier in any formal language.

Module: tagdocs

<idno>

(identifying number) supplies an identifying code for a text.

Class: model.biblPart: model.publicationStmtPart

Declaration

element idno { attribute type { data.enumerated }?, text }

Attributes: In addition to global attributes and those inherited from [model.biblPart ]
type
categorizes the code number used.

Example

 <idno type="bnc">KD7</idno>  <idno type="old"> XMa0KP </idno>

Module: header

<imprint>

groups information relating to the publication or distribution of a bibliographic item.

Declaration

element imprint { attribute n { text }?, ( pubPlace | publisher | date | pp )* }

Attributes: In addition to global attributes
n
internal identifier

Example

 <imprint n="JOHNMU1">   <publisher>John Murray (Publishers) Ltd</publisher>   <pubPlace>London</pubPlace>   <date value="1989">1989</date>  </imprint>

Module: core

<item>

contains one component of a list.

Class: att.rendered

Declaration

element item { att.rendered.attributes, att.rendered.attribute.rend, ( model.pLike | model.qLike | model.listLike | s | model.global )+ }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <list>   <item>    <s n="516">     <w c5="VVB" hw="substitute" pos="VERB">Substitute </w>     <w c5="AJ0-NN1" hw="plain" pos="ADJ">plain </w>     <w c5="NN2" hw="biscuit" pos="SUBST">biscuits </w>     <w c5="PRP" hw="for" pos="PREP">for </w>     <w c5="AJ0-VVN" hw="filled" pos="ADJ">filled </w>     <w c5="CJC" hw="or" pos="CONJ">or </w>     <w c5="AJ0" hw="chocolate-covered" pos="ADJ">chocolate-covered </w>     <w c5="NN2" hw="one" pos="SUBST">ones</w>...</s>   </item>   <item>    <s n="517">     <w c5="VVB" hw="try" pos="VERB">Try </w>     <w c5="VVG" hw="eat" pos="VERB">eating </w>     <w c5="AT0" hw="a" pos="ART">a </w>     <w c5="AJ0" hw="small" pos="ADJ">small </w>     <w c5="NN1" hw="amount" pos="SUBST">amount </w>...</s>   </item>  </list>

Module: core

<joinTo>

supplies a list of element names carrying an attribute which has been specified with the xaira "joinTo" indexing policy.

Declaration

element joinTo { gi+ }

Attributes: Global attributes only

Module: module-from-bncxml

<keywords>

(Keywords) contains a list of keywords or phrases identifying the topic or nature of a text.

Declaration

element keywords { attribute scheme { data.pointer }?, term+ }

Attributes: In addition to global attributes
scheme
identifies the controlled vocabulary within which the set of keywords concerned is defined.

Example

 <keywords scheme="COPAC">   <term>Fluid dynamics</term>   <term> Fluids. Dynamics</term>  </keywords>  <keywords/>

Module: header

<l>

(verse line) contains a single, possibly incomplete, line of verse.

Class: att.rendered: model.divPart: model.lLike

Declaration

element l { att.rendered.attributes, att.rendered.attribute.rend, ( s | gap | pb )+ }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <l>   <s n="3287">    <w c5="ORD" hw="next" pos="ADJ">Next </w>    <w c5="NN1" hw="day" pos="SUBST">Day </w>    <w c5="PRP" hw="at" pos="PREP">at </w>    <w c5="CRD" hw="six" pos="ADJ">Six </w>    <w c5="CJS" hw="before" pos="CONJ">before </w>    <w c5="AT0" hw="the" pos="ART">the </w>    <w c5="NN1" hw="gate" pos="SUBST">Gate </w>    <w c5="VVZ" hw="appear" pos="VERB">appears</w>    <c c5="PUN">,</c>   </s>  </l>  <l>   <s n="3288">    <w c5="AT0" hw="the" pos="ART">The </w>    <w c5="NN1" hw="wretch" pos="SUBST">Wretch </w>    <w c5="VVN" hw="divide" pos="VERB">divided </w>    <w c5="PRP" hw="by" pos="PREP">by </w>    <w c5="DPS" hw="he" pos="PRON">his </w>    <w c5="NN2" hw="hope" pos="SUBST">Hopes </w>    <w c5="CJC" hw="and" pos="CONJ">and </w>    <w c5="NN2-VVZ" hw="fear" pos="SUBST">Fears</w>    <c c5="PUN">.</c>   </s>  </l>

Module: core

<label>

contains the label associated with an item in a list; in glossaries, marks the term being defined.

Class: att.rendered

Declaration

element label { att.rendered.attributes, att.rendered.attribute.rend, ( s | gap | pb )+ }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <label>   <s n="8176">    <w c5="NN1-VVB" hw="amount" pos="SUBST">Amount</w>    <c c5="PUN">:</c>   </s>  </label>  <item>   <s n="8177">    <w c5="CRD" hw="52153" pos="ADJ">52153 </w>    <w c5="NN2" hw="pound" pos="SUBST">Pounds</w>   </s>  </item>  <label>   <s n="8178">    <w c5="NN1-VVB" hw="date" pos="SUBST">Date </w>    <w c5="NN1" hw="award" pos="SUBST">Award </w>    <w c5="VVD" hw="begin" pos="VERB">Began</w>    <c c5="PUN">:</c>   </s>  </label>  <item>   <s n="8179">    <w c5="CRD" hw="01" pos="ADJ">01 </w>    <w c5="NP0" hw="january" pos="SUBST">January </w>    <w c5="CRD" hw="1992" pos="ADJ">1992</w>   </s>  </item>

Module: core

<labelGen>

specifies the label to be generated for the parent reference.

Declaration

element labelGen { attribute change { "onStart" | "within" }?, text }

Attributes: In addition to global attributes

Module: module-from-bncxml

<langUsage>

(language usage) describes the languages, sublanguages, registers, dialects etc. represented within a text.

Class: model.profileDescPart: att.declarable

Declaration

element langUsage { language+ }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <langUsage>   <language ident="en-GB">The language of the British National Corpus is modern British English. ...</language>  </langUsage>

Note: Appears only in the corpus header.

Module: header

<language>

characterizes a single language or sublanguage used within a text.

Declaration

element language { attribute ident { data.language }, macro.phraseSeq }

Attributes: In addition to global attributes
ident
Supplies a language code constructed as defined in RFC 3066 (or its successor) which is used to identify the language documented by this element, and which is referenced by the global xml:lang attribute.

Example

 <language ident="en-GB">The language of the British National Corpus is modern British English. ...</language>

Note: Particularly for sublanguages, an informal prose characterization should be supplied as content for the element.

Module: header

<lg>

(line group) contains a group of verse lines functioning as a formal unit, e.g. a stanza, refrain, verse paragraph, etc.

Class: model.qLike: model.divPart

Declaration

Attributes: Global attributes only

Example

 <lg>   <l>    <s n="463">     <w c5="AV0" hw="too" pos="ADV">Too </w>     <w c5="AJ0-VVD" hw="jellied" pos="ADJ">jellied</w>     <c c5="PUN">, </c>     <w c5="AJ0" hw="viscous" pos="ADJ">viscous</w>     <c c5="PUN">, </c>     <w c5="VVG" hw="float" pos="VERB">floating </w>     <w c5="AT0" hw="a" pos="ART">a </w>     <w c5="NN1" hw="condition" pos="SUBST">condition</w>    </s>   </l>   <l>    <s n="464">     <w c5="TO0" hw="to" pos="PREP">to </w>     <w c5="VVI" hw="inspire" pos="VERB">inspire </w>     <w c5="DT0" hw="more" pos="ADJ">more </w>     <w c5="NN1" hw="action" pos="SUBST">action </w>     <w c5="CJS" hw="than" pos="CONJ">than </w>     <w c5="AT0" hw="a" pos="ART">a </w>     <w c5="NN1" hw="sigh" pos="SUBST">sigh </w>     <c c5="PUN">—</c>    </s>   </l>...</lg>

Note: contains verse lines or nested line groups only, possibly prefixed by a heading.

Module: core

<list>

contains any sequence of items organized as a list.

Class: att.rendered: model.listLike: model.divPart

Declaration

element list { att.rendered.attributes, att.rendered.attribute.rend, ( ( model.divWrapper | model.global )*, ( ( item, model.global* )+ | ( label, model.global*, item, model.global* )+ ), model.divWrapper.bottom* ) }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Module: core

<locale>

(locale) contains a brief informal description of the nature of a place for example a room, a restaurant, a park bench etc.

Class: model.settingPart

Declaration

element locale { macro.phraseSeq }

Attributes: Global attributes only

Example

 <locale>a fashionable restaurant</locale>

Module: corpus

<mw>

contains a multi-word unit as identified by CLAWS, that is, a sequence of individual tokens which function as a single unit and can be given a single part of speech code.

Class: model.segLike: att.c5coded

Declaration

element mw { model.segLike.attributes, att.c5coded.attributes, att.c5coded.attribute.c5, w+ }

Attributes: Global attributes and those inherited from [att.c5coded ]
att.c5coded.attribute.c5

Example

 <mw c5="PRP">   <w c5="PRP" hw="in" pos="PREP">in </w>   <w c5="NN1" hw="response" pos="SUBST">response </w>   <w c5="PRP" hw="to" pos="PREP">to </w>  </mw>

Note: In CLAWS output the components of a <mw> are given ‘ditto’ tags inherited from the parent <mw>. In BNC they have been given the same code as elsewhere in the corpus.

Module: module-from-bncxml

<name>

(name, proper noun) contains a proper noun or noun phrase.

Class: model.nameLike.agent: att.naming

Declaration

element name { macro.phraseSeq }

Attributes: Global attributes and those inherited from [att.naming ]

Example

 <name>Longman </name>

Note: This element is used only in the header.

Module: core

<nameList>

supplies a list of element names or attribute identifiers

Declaration

element nameList { ( gi | ident )+ }

Attributes: Global attributes only

Module: module-from-bncxml

<namespace>

supplies the formal name of the namespace to which the elements documented by its children belong.

Declaration

element namespace { attribute name { data.namespace }, tagUsage+ }

Attributes: In addition to global attributes
name
the full formal name of the namespace concerned.

Note: This element is not used in the current release of the BNC: all elements belong to the empty namespace.

Module: header

<note>

contains a note or annotation.

Class: model.divPart: att.placement

Declaration

element note { attribute place { text }?, attribute n { text }?, s+ }

Attributes: In addition to global attributes and those inherited from [att.placement ]
place
Values are:
FOOT
footnote
SIDE
side note
END
endnote
n
internal identifier

Example

 <note place="SIDE">   <s n="477">    <w c5="AT0" hw="the" pos="ART">The </w>    <w c5="AJ0-NN1" hw="short" pos="ADJ">short </w>    <w c5="VBZ" hw="be" pos="VERB">is </w>    <w c5="AT0" hw="a" pos="ART">a </w>    <w c5="NN1" hw="film" pos="SUBST">film </w>    <w c5="PRP" hw="about" pos="PREP">about </w>    <w c5="NN1-VVG" hw="sailing" pos="SUBST">sailing</w>    <c c5="PUN">.</c>   </s>...</note>

Module: core

<occupation>

contains an informal description of a person's trade, profession or occupation.

Class: model.persStateLike

Declaration

element occupation { macro.phraseSeq }

Attributes: Global attributes only

Example

 <occupation>student</occupation>

Module: namesdates

<p>

(paragraph) marks paragraphs in prose.

Class: att.rendered: model.pLike: model.divPart

Declaration

element p { att.rendered.attributes, attribute type { text }?, att.rendered.attribute.rend, macro.paraContent }

Attributes: In addition to global attributes and those inherited from [att.rendered ]
type
indicates how the paragraph is displayed Values are:
caption
the paragraph is displayed as a caption
caption:byline
the displayed paragraph contains a byline
caption:display
the paragraph is displayed as a floating caption
caption:attached
the paragraph is displayed as an attached caption
att.rendered.attribute.rend

Example

 <p type="caption">   <s n="7234">    <w c5="VVB" hw="brave" pos="VERB">BRAVE</w>    <c c5="PUN">: </c>    <w c5="NP0" hw="louise" pos="SUBST">Louise</w>   </s>  </p>

Example

 <p>   <s n="7244">    <w c5="AJ0" hw="jobless" pos="ADJ">JOBLESS </w>    <w c5="NP0" hw="darren" pos="SUBST">Darren </w>    <w c5="NP0" hw="st" pos="SUBST">St    </w>    <w c5="NP0" hw="john" pos="SUBST">John </w>    <w c5="VVD" hw="gobble" pos="VERB">gobbled </w>    <w c5="NN0" hw="5lb" pos="SUBST">5lb </w>    <w c5="PRF" hw="of" pos="PREP">of </w>    <w c5="NN2" hw="strawberry" pos="SUBST">strawberries </w>    <w c5="PRP" hw="in" pos="PREP">in </w>    <w c5="CRD" hw="two" pos="ADJ">two </w>    <w c5="NN2" hw="pint" pos="SUBST">pints </w>    <w c5="PRF" hw="of" pos="PREP">of </w>    <w c5="AJ0" hw="chilli-flavoured" pos="ADJ">chilli-flavoured </w>    <w c5="NN1" hw="gravy" pos="SUBST">gravy </w>    <w c5="TO0" hw="to" pos="PREP">to </w>    <w c5="VVI" hw="raise" pos="VERB">raise </w>    <w c5="NN0" hw="£450" pos="UNC">£450 </w>    <w c5="PRP" hw="for" pos="PREP">for </w>    <w c5="NN1" hw="charity" pos="SUBST">charity </w>    <w c5="PRP" hw="at" pos="PREP">at </w>    <w c5="NP0" hw="henley" pos="SUBST">Henley</w>    <c c5="PUN">, </c>    <w c5="NP0" hw="oxon" pos="SUBST">Oxon</w>    <c c5="PUN">.</c>   </s>  </p>

Module: core

<para>

contains descriptive text appearing within components of a TEI header

Declaration

element para { ( text | hi | list )* }

Attributes: Global attributes only

Example

 <para>For information, the conditions of the Standard License Agreement are as  follows:</para>

Module: module-from-bncxml

<particDesc>

(participation description) describes the identifiable speakers, voices, or other participants in a linguistic interaction.

Class: model.profileDescPart: att.declarable

Declaration

element particDesc { attribute n { text }?, person+ }

Attributes: In addition to global attributes and those inherited from [att.declarable ]
n
internal identifier

Example

 <particDesc n="C114">   <person     ageGroup="Ag4"     xml:id="PS1US"     role="unspecified"     sex="m"     soc="UU"     dialect="NONE"     educ="X">    <age>45</age>    <persName>Terry</persName>    <occupation>british rail employee</occupation>   </person>...</particDesc>

Module: corpus

<pause>

a pause either between or within utterances.

Class: model.divPart.spoken: att.timed

Declaration

element pause { att.timed.attributes, att.timed.attribute.dur, empty }

Attributes: Global attributes and those inherited from [att.timed ]
att.timed.attribute.dur

Example

 <s n="199">   <w c5="UNC" hw="erm" pos="UNC">Erm </w>   <pause dur="10"/>   <w c5="AV0" hw="right" pos="ADV">right </w>   <w c5="AV0" hw="now" pos="ADV">now</w>   <c c5="PUN">, </c>...</s>

Module: spoken

<pb>

(page break) marks the boundary between one page of a text and the next in a standard reference system.

Class: model.milestoneLike

Declaration

element pb { attribute n { text }?, empty }

Attributes: In addition to global attributes
n
gives the number of the page beginning here

Example

 <pb n="15"/>

Module: core

<persName>

(personal name) contains a proper noun or proper-noun phrase referring to a person, possibly including any or all of the person's forenames, surnames, honorifics, added names, etc.

Class: model.persStateLike: model.nameLikeAgent

Declaration

element persName { macro.phraseSeq }

Attributes: Global attributes and those inherited from [model.nameLikeAgent ]

Example

 <persName>Norman</persName>

Module: namesdates

<persNote>

contains any additional information supplied about a participant in a spoken text

Class: model.persStateLike

Declaration

element persNote { macro.phraseSeq }

Attributes: Global attributes only

Example

 <person ageGroup="X">   <persNote>May well be an actor portraying a Davidian</persNote>  </person>

Module: module-from-bncxml

<person>

provides information about an identifiable individual, for example a participant in a language interaction, or a person referred to in a historical source.

Class: att.uniqueId

Declaration

element person { att.uniqueId.attributes, attribute ageGroup { text }?, attribute dialect { text }?, attribute firstLang { "XX-XXX" | "DE-DEU" | "FR-FRA" | "EN-GBR" | "EN-USA" | "XX-IND" }?, attribute n { text }?, attribute educ { "Ed0" | "Ed1" | "Ed4" | "X" }?, attribute soc { "AB" | "C1" | "C2" | "DE" | "UU" }?, attribute sex { "m" | "f" | "u" }?, attribute role { text }?, att.uniqueId.attribute.xmlid, ( model.pLike+ | model.personPart* ) }

Attributes: In addition to global attributes and those inherited from [att.uniqueId ]
ageGroup
specifies the age group to which the participant belongs. Values are:
Ag0
Under 15 years
Ag1
15 to 24 years
Ag2
25 to 34 years
Ag3
35 to 44 years
Ag4
45 to 59 years
Ag5
Over 59 years
X
Unknown
dialect
specifies the dialect or accent of a participant's speech, as identified by the respondent. Values are:
CAN
Canadian
NONE
No accent recorded
XDE
German
XEA
East Anglian
XFR
French
XHC
Home Counties
XHM
Humberside
XIR
Irish
XIS
Indian subcontinent
XLC
Lancashire
XLO
London
XMC
Central Midlands
XMD
Merseyside
XME
North-east Midlands
XMI
Midlands
XMS
South Midlands
XMW
North-west Midlands
XNC
Central Northern England
XNE
North-east England
XNO
Northern England
XOT
Other or unidentifiable
XSD
Scottish
XSL
Lower south-west England
XSS
Central south-west England
XSU
Upper south-west England
XUR
European
XUS
American (US)
XWA
Welsh
XWE
West Indian
firstLang
specifies the country of origin of the participant, as identified by the respondent. Legal values are:
XX-XXX
Unknown
DE-DEU
German
FR-FRA
French
EN-GBR
British English
EN-USA
North American English
XX-IND
Unknown Indian language
n
internal identifier
educ
specifies the age at which the participant ceased full-time education. Legal values are:
Ed0
Still in education
Ed1
Left school aged 14 or under
Ed4
Education continued until age 19 or over
X
Unknown
soc
specifies the social class of the participant. Legal values are:
AB
Higher management: administrative or professional
C1
Lower management: supervisory or clerical
C2
Skilled manual
DE
Semi-skilled or unskilled
UU
Social class unknown
sex
specifies the sex of the participant. Legal values are:
m
male
f
female
u
unknown
role
describes the relationship or role of this participant with respect to the respondent.
att.uniqueId.attribute.xmlid

Example

 <person    ageGroup="4"    xml:id="PS1V0"    role="unspecified"    sex="f"    soc="UU"    dialect="NONE"    educ="X">   <age>55</age>   <persName>Nola</persName>   <occupation>british rail employee</occupation>  </person>

Note: May contain either a prose description organized as paragraphs, or a sequence of more specific demographic elements drawn from the model.personPart class.

Module: namesdates

<placeName>

(place name) contains an absolute or relative place name.

Class: model.settingPart

Declaration

element placeName { macro.phraseSeq }

Attributes: Global attributes only

Example

 <placeName>North Yorkshire: York </placeName>

Module: namesdates

<pp>

supplies page numbers for a bibliographic citation.

Class: model.biblPart

Declaration

element pp { macro.phraseSeq }

Attributes: Global attributes and those inherited from [model.biblPart ]

Example

 <bibl>   <title>Misfortunes of Nigel. </title> ... <pp>67-173</pp>  </bibl>

Module: module-from-bncxml

<profileDesc>

(text-profile description) provides a detailed description of non-bibliographic aspects of a text, specifically the languages and sublanguages used, the situation in which it was produced, the participants and their setting.

Class: model.headerPart

Declaration

element profileDesc { creation?, model.profileDescPart* }

Attributes: Global attributes only

Example

 <profileDesc>   <creation date="1992"/>   <textClass>    <catRef      targets="WRI ALLTIM3 ALLAVA2 ALLTYP5 WRIAAG0 WRIAD0 WRIASE0 WRIATY2 WRIAUD3 WRIDOM5 WRILEV3 WRIMED3 WRIPP5 WRISAM0 WRISTA0 WRITAS0"/>    <classCode scheme="DLEE">W hansard</classCode>    <keywords>     <term> Parliamentary debates </term>    </keywords>   </textClass>  </profileDesc>

Module: header

<projectDesc>

(project description) describes in detail the aim or purpose for which an electronic file was encoded, together with any other relevant information concerning the process by which it was assembled or collected.

Class: model.encodingPart: att.declarable

Declaration

element projectDesc { para+ }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <projectDesc>   <para>The British National Corpus (BNC) Consortium was formed in 1990, and   started work in 1991 on the three-year task of producing a   hundred-million word corpus of modern British English for use in   commercial and academic research. The first edition was published in   1994.</para>  ...</projectDesc>

Module: header

<pubPlace>

contains the name of the place where a bibliographic item was published.

Class: att.naming: model.imprintPart: model.publicationStmtPart

Declaration

element pubPlace { macro.phraseSeq }

Attributes: Global attributes and those inherited from [att.naming ]

Module: core

<publicationStmt>

(publication statement) groups information concerning the publication or distribution of an electronic or other text.

Declaration

element publicationStmt { model.pLike+ | model.publicationStmtPart+ }

Attributes: Global attributes only

Example

 <publicationStmt>   <distributor>    <availability> This material is protected by international copyright laws and may not be copied or redistributed in any way.    Consult the BNC Web Site at http://www.natcorp.ox.ac.uk for full licencing and distribution conditions.</availability>    <idno type="bnc">HHV</idno>    <idno type="old"> HansrA </idno>   </distributor>  </publicationStmt>

Module: header

<publisher>

provides the name of the organization responsible for the publication or distribution of a bibliographic item.

Class: model.imprintPart: model.publicationStmtPart

Declaration

element publisher { macro.phraseSeq }

Attributes: Global attributes only

Example

 <imprint>   <pubPlace>Oxford</pubPlace>   <publisher>Clarendon Press</publisher>   <date>1987</date>  </imprint>

Module: core

<quote>

(quotation) contains a phrase or passage attributed by the narrator or author to some agency external to the text.

Class: model.qLike: model.divPart: att.rendered

Declaration

element quote { att.rendered.attributes, att.rendered.attribute.rend, ( bibl?, model.divPart+, bibl? ) }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <quote>   <p>    <s n="1426">     <w c5="NN1-NP0" hw="thrift" pos="SUBST">Thrift </w>     <w c5="VHZ" hw="have" pos="VERB">has </w>     <w c5="VVN" hw="go" pos="VERB">gone </w>     <mw c5="PRP">      <w c5="AVP" hw="out" pos="ADV">out </w>      <w c5="PRF" hw="of" pos="PREP">of </w>     </mw>     <w c5="NN1" hw="fashion" pos="SUBST">fashion</w>     <c c5="PUN">.</c>    </s>   </p>  </quote>

Note: Any bibliographic source or reference provided for the quotation may be included within the quote element.

Module: core

<recording>

(recording event) details of an audio or video recording event used as the source of a spoken text, either directly or from a public broadcast.

Class: att.uniqueId

Declaration

element recording { att.uniqueId.attributes, attribute date { data.temporal }?, attribute n { text }?, attribute time { text }?, attribute type { text }?, attribute dur { data.count }?, att.uniqueId.attribute.xmlid, macro.phraseSeq }

Attributes: In addition to global attributes and those inherited from [att.uniqueId ]
date
date of the recording in standardized form.
n
tape number.
time
time of day the recording was made.
type
kind of recording. Values are:
dat
recording made directly to Digital Audio tape.
walkman
recording made to Walkman tape.
dur
duration of the recording in minutes.
att.uniqueId.attribute.xmlid

Example

 <recording n="087902" date="1993-04-30" type="DAT"/>

Module: header

<recordingStmt>

(recording statement) describes a set of recordings used in transcription of a spoken text.

Class: model.sourceDescPart

Declaration

element recordingStmt { model.pLike+ | recording+ }

Attributes: Global attributes only

Module: header

<refsDecl>

(references declaration) provides documentation for the reference system applicable to the corpus.

Class: model.encodingPart: att.declarable

Declaration

element refsDecl { para+ }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <refsDecl>   <para>Canonical references to the BNC should be   constructed by taking the value of the n   attribute of the <bncDoc> element containing the target text, and   concatenating a dot separator, followed by the value of the n attribute of the   target <s> element containing the material to be referenced.</para>  ...</refsDecl>

Module: header

<resp>

contains a phrase describing the nature of a person's intellectual responsibility.

Declaration

element resp { macro.phraseSeq }

Attributes: Global attributes only

Example

 <respStmt>   <resp>compiler</resp>   <name>Edward Child</name>  </respStmt>

Module: core

<respStmt>

(statement of responsibility) supplies a statement of responsibility for someone responsible for the intellectual content of a text, edition, recording, or series, where the specialized elements for authors, editors, etc. do not suffice or do not apply.

Declaration

element respStmt { ( name | resp )+ }

Attributes: Global attributes only

Example

 <respStmt>   <resp>Text enrichment</resp>   <name>Unit for Computer Research into the English Language,   University of Lancaster</name>  </respStmt>

Module: core

<revisionDesc>

(revision description) summarizes the revision history for a file.

Declaration

element revisionDesc { change+ }

Attributes: Global attributes only

Example

 <revisionDesc>   <change date="2006-10-21" who="#OUCS">Tag usage updated for BNC-XML</change>..</revisionDesc>

Note: Record changes with most recent changes at the top of the list.

Module: header

<s>

(s-unit) contains a sentence-like division of a text.

Class: model.segLike

Declaration

element s { model.segLike.attributes, attribute n { text }, ( model.global | model.phrase | model.divPart.spoken )+ }

Attributes: In addition to global attributes
n
sequence number

Example

 <s n="1">   <w c5="VVB" hw="come" pos="VERB">Come </w>   <w c5="AVP" hw="in" pos="ADV">in</w>   <c c5="PUN">.</c>  </s>

Module: analysis

<samplingDecl>

(sampling declaration) contains a prose description of the rationale and methods used in sampling texts in the creation of a corpus or collection.

Class: model.encodingPart: att.declarable

Declaration

element samplingDecl { ( text | para )* }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <samplingDecl>   <para>Definitive information on the sampling policies   applied during construction of the BNC is provided in the associated documentation...</para>  </samplingDecl>

Module: header

<setting>

(setting) describes one particular setting in which a language interaction takes place.

Class: att.uniqueId: att.ascribed

Declaration

element setting { att.uniqueId.attributes, att.ascribed.attributes, attribute n { text }?, att.uniqueId.attribute.xmlid, att.ascribed.attribute.who, ( date | model.settingPart )* }

Attributes: In addition to global attributes and those inherited from [att.uniqueId att.ascribed ]
n
an internal identifier for a setting
att.uniqueId.attribute.xmlid
att.ascribed.attribute.who

Example

 <setting n="090910" who="PS1YR PS1YS">   <placeName>Strathclyde: Glasgow </placeName>   <locale> doctor's surgery </locale>   <activity> medical consultation </activity>  </setting>

Note: If the who attribute is not supplied, the setting is assumed to be that of all participants in the language interaction.

Module: corpus

<settingDesc>

(setting description) describes the setting or settings within which a language interaction takes place, either as a prose description or as a series of setting elements.

Class: model.profileDescPart: att.declarable

Declaration

element settingDesc { setting+ }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <settingDesc>   <setting n="104701" who="PS000 PS302 PS303 PS304 PS305 PS306 PS307 HYFPS000">    <placeName>Unknown</placeName>    <activity> analysts meeting speech </activity>   </setting>  </settingDesc>

Module: corpus

<shift>

(Shift) marks the point at which some paralinguistic feature of a series of utterances by any one speaker changes.

Class: model.divPart.spoken

Declaration

element shift { attribute new { data.enumerated }?, empty }

Attributes: In addition to global attributes
new
specifies the new state of the paralinguistic feature specified.

Example

 <u who="PS09K">   <s n="606">    <shift new="laughing"/>    <w c5="ITJ" hw="yeah" pos="INTERJ">Yeah </w>    <shift/>   </s>  </u>

Module: spoken

<sourceDesc>

supplies a description of the source text(s) from which an electronic text was derived or generated.

Class: att.declarable

Declaration

element sourceDesc { bibl | recordingStmt | para+ }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <sourceDesc>   <recordingStmt>    <recording      xml:id="KC1RE000"      n="040701"      dur="18"      date="1992-02-21"      time="19:30+"      type="Walkman"/>    <recording      xml:id="KC1RE001"      n="040702"      dur="526"      date="1992-02-21"      time="19:30+"      type="Walkman"/>...</recordingStmt>  </sourceDesc>

Example

 <sourceDesc>   <bibl>    <title>The worst poverty: a history of debt and debtors. </title>    <author n="BartyH1" domicile="ESussex">Barty-King, Hugh</author>    <imprint n="ALANSU1">     <publisher>Alan Sutton Publishing Ltd</publisher>     <pubPlace>Gloucester</pubPlace>     <date value="1991">1991</date>    </imprint>    <pp>85-203</pp>   </bibl>  </sourceDesc>

Module: header

<sp>

(speech) An individual speech in a performance text, or a passage presented as such in a prose or verse text.

Class: model.divPart: att.ascribed

Declaration

element sp { att.ascribed.attributes, att.ascribed.attribute.who, ( model.global*, ( speaker, model.global* )?, ( ( model.lLike | lg | model.pLike | model.blockLike | model.stageLike ), model.global* )+ ) }

Attributes: Global attributes and those inherited from [att.ascribed ]
att.ascribed.attribute.who

Example

 <sp>   <speaker>    <s n="1627">     <w c5="NP0" hw="mr." pos="SUBST">Mr. </w>     <w c5="NP0" hw="speaker" pos="SUBST">Speaker</w>    </s>   </speaker>   <p>    <s n="1628">     <w c5="PNP" hw="i" pos="PRON">I </w>     <w c5="VVB" hw="call" pos="VERB">call </w>     <w c5="NP0" hw="mr." pos="SUBST">Mr. </w>     <w c5="NP0" hw="dennis" pos="SUBST">Dennis </w>     <w c5="NP0" hw="turner" pos="SUBST">Turner</w>     <c c5="PUN">.</c>    </s>   </p>  </sp>

Module: core

<speaker>

A specialized form of heading or label, giving the name of one or more speakers in a dramatic text or fragment.

Declaration

element speaker { ( s | gap | pb )+ }

Attributes: Global attributes only

Example

 <sp>   <speaker>    <s n="1627">     <w c5="NP0" hw="mr." pos="SUBST">Mr. </w>     <w c5="NP0" hw="speaker" pos="SUBST">Speaker</w>    </s>   </speaker>   <p>    <s n="1628">     <w c5="PNP" hw="i" pos="PRON">I </w>     <w c5="VVB" hw="call" pos="VERB">call </w>     <w c5="NP0" hw="mr." pos="SUBST">Mr. </w>     <w c5="NP0" hw="dennis" pos="SUBST">Dennis </w>     <w c5="NP0" hw="turner" pos="SUBST">Turner</w>     <c c5="PUN">.</c>    </s>   </p>  </sp>

Note: In the BNC, used only for speaker labels in dramatic texts, or Hansard

Module: core

<stage>

(stage direction) contains any kind of stage direction within a dramatic text or fragment.

Class: att.rendered: model.stageLike

Declaration

element stage { att.rendered.attributes, model.stageLike.attributes, att.rendered.attribute.rend, macro.paraContent }

Attributes: Global attributes and those inherited from [att.rendered ]
att.rendered.attribute.rend

Example

 <stage>   <s n="8004">    <w c5="DT0" hw="several" pos="ADJ">Several </w>    <w c5="AJ0" hw="hon." pos="ADJ">Hon. </w>    <w c5="NN2" hw="member" pos="SUBST">Members </w>    <w c5="VVD" hw="rise" pos="VERB">rose</w>   </s>  </stage>

Module: core

<stext>

contains a single spoken text, i.e. a transcription or collection of transcriptions from a single source.

Declaration

element stext { attribute type { "CONVRSN" | "OTHERSP" }, ( model.divPart.spoken*, div* ) }

Attributes: In addition to global attributes

Module: module-from-bncxml

<tagUsage>

(tagUsage) supplies information about the usage of a specific element within a text.

Declaration

element tagUsage { attribute gi { data.name }, attribute occurs { data.count }?, macro.phraseSeq }

Attributes: In addition to global attributes
gi
the name (generic identifier) of the element indicated by the tag.
occurs
specifies the number of occurrences of this element within the text.

Example

 <tagUsage gi="c" occurs="41685"/>

Module: header

<tagsDecl>

(tagging declaration) provides information about the XML elements actually used within a BNC text

Class: model.encodingPart

Declaration

element tagsDecl { namespace* }

Attributes: Global attributes only

Example

 <tagsDecl>   <namespace name="">    <tagUsage gi="bibl" occurs="17"/>    <tagUsage gi="c" occurs="4348"/>...</namespace>  </tagsDecl>

Module: header

<taxonomy>

(taxonomy) defines a typology used to classify texts either implicitly, by means of a bibliographic citation, or explicitly by a structured taxonomy.

Class: att.uniqueId

Declaration

element taxonomy { att.uniqueId.attributes, att.uniqueId.attribute.xmlid, ( desc?, ( category+ | model.biblLike ) ) }

Attributes: Global attributes and those inherited from [att.uniqueId ]
att.uniqueId.attribute.xmlid

Example

 <taxonomy xml:id="textMode">   <desc>Text mode</desc>   <category xml:id="WRI">    <catDesc>Written</catDesc>   </category>   <category xml:id="SPO">    <catDesc>Transcribed speech</catDesc>   </category>  </taxonomy>

Module: header

<teiHeader>

(TEI Header) supplies the descriptive and declarative information making up an electronic title page prefixed to every TEI-conformant text.

Declaration

element teiHeader { fileDesc, model.headerPart*, revisionDesc? }

Attributes: Global attributes only

Module: header

<term>

contains a word or phrase used to describe the topic or nature of a text.

Declaration

element term { macro.phraseSeq }

Attributes: Global attributes only
Choice:

Example

 <keywords>   <term> Parliamentary debates </term>  </keywords>

Note: Used to specify a single keyword or phrase

Module: core

<textClass>

(text classification) groups information which describes the nature or topic of a text in terms of a standard classification scheme, thesaurus, etc.

Class: model.profileDescPart: att.declarable

Declaration

element textClass { catRef, classCode*, keywords* }

Attributes: Global attributes and those inherited from [att.declarable ]

Example

 <textClass>   <catRef targets="ALLTIM3 ..."/>   <classCode scheme="DLEE">W hansard</classCode>   <keywords>    <term> Parliamentary debates </term>   </keywords>  </textClass>

Module: header

<title>

contains the full title of a work of any kind.

Declaration

element title { attribute level { text }?, macro.phraseSeq }

Attributes: In addition to global attributes
level
indicates the bibliographic level of this title Values are:
a
the title is an analytic title, rather than a monographic one

Example

 <title>Amnesty  International meeting. Sample containing about 15274 words speech  recorded in public context</title>

Example

 <bibl>   <title>An awfully big adventure. </title>   <author n="BainbB1" domicile="England">Bainbridge, B</author>   <imprint n="DUCKWO1">    <publisher>Duckworth & Company Ltd</publisher>    <pubPlace>London</pubPlace>    <date value="1990">1990</date>   </imprint>   <pp>49-192</pp>  </bibl>

Module: core

<titleStmt>

(title statement) groups information about the title of a work and those responsible for its intellectual content.

Declaration

element titleStmt { title+, ( author | editor | respStmt )* }

Attributes: Global attributes only

Example

 <titleStmt>   <title> So you want to be an actor?. Sample containing about 35817 words from a book (domain: arts) </title>   <respStmt>    <resp> Data capture and transcription </resp>    <name> Oxford University Press </name>   </respStmt>  </titleStmt>

Module: header

<tokenize>

supplies any additional ICU-conformant rules to be used when tokenization is performed by xaira rather than by explicit XML markup.

Declaration

element tokenize { text }

Attributes: Global attributes only

Module: module-from-bncxml

<trunc>

contains one or more truncated words in transcribed speech.

Class: model.divPart.spoken

Declaration

element trunc { ( w | mw | gap | unclear )+ }

Attributes: Global attributes only

Example

 <s n="1377">   <trunc>    <w c5="UNC" hw="the" pos="UNC">The </w>   </trunc>   <c c5="PUN">, </c>   <w c5="AV0" hw="then" pos="ADV">then </w>   <w c5="PNP" hw="he" pos="PRON">he </w>   <trunc>    <w c5="UNC" hw="bo" pos="UNC">bo </w>   </trunc>   <w c5="VVD" hw="bowl" pos="VERB">bowled </w>  </s>

Module: module-from-bncxml

<u>

(utterance) a stretch of speech usually preceded and followed by silence or by a change of speaker.

Class: att.ascribed: model.divPart.spoken

Declaration

element u { att.ascribed.attributes, att.ascribed.attribute.who, ( text | model.gLike | model.phrase | model.divPart.spoken | model.global )* }

Attributes: Global attributes and those inherited from [att.ascribed ]
att.ascribed.attribute.who

Example

 <u who="PS0KU">   <s n="414">    <w c5="VM0" hw="shall" pos="VERB">shall </w>    <w c5="PNP" hw="i" pos="PRON">I </w>    <w c5="VVI" hw="get" pos="VERB">get </w>    <w c5="PNP" hw="it" pos="PRON">it </w>    <w c5="CJC" hw="or" pos="CONJ">or </w>    <w c5="XX0" hw="not" pos="ADV">not</w>    <c c5="PUN">?</c>   </s>   <s n="415">    <w c5="PNP" hw="i" pos="PRON">I </w>    <w c5="VDB" hw="do" pos="VERB">do</w>    <w c5="XX0" hw="not" pos="ADV">n't </w>    <w c5="VVI" hw="know" pos="VERB">know </w>    <w c5="DTQ" hw="what" pos="PRON">what </w>    <w c5="TO0" hw="to" pos="PREP">to </w>    <w c5="VDI" hw="do" pos="VERB">do</w>   </s>  </u>  <u who="PS0KR">   <s n="416">    <w c5="ITJ" hw="yes" pos="INTERJ">Yes </w>    <w c5="VVB" hw="get" pos="VERB">get </w>    <w c5="PNP" hw="it" pos="PRON">it</w>   </s>  </u>  <u who="PS0KP">   <s n="417">    <w c5="ITJ" hw="eh" pos="INTERJ">eh</w>    <c c5="PUN">, </c>    <w c5="PNP" hw="i" pos="PRON">me </w>    <w c5="CJC" hw="and" pos="CONJ">and    </w>    <w c5="DPS" hw="you" pos="PRON">your </w>    <w c5="NN1" hw="mother" pos="SUBST">mother </w>    <pause/>   </s>  </u>

Note: In the BNC, each change of speaker is marked by a new <u> element.

Module: spoken

<unclear>

contains a word, phrase, or passage which cannot be transcribed with certainty because it is illegible or inaudible in the source.

Class: att.timed: model.pPart.edit

Declaration

element unclear { att.timed.attributes, att.timed.attribute.dur, empty }

Attributes: Global attributes and those inherited from [att.timed ]
att.timed.attribute.dur

Example

 <u who="PS000">   <unclear/>  </u>

Module: core

<valItem>

(value definition) contains a single value and gloss pair for an attribute.

Class: att.identifiable

Declaration

element valItem { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, desc }

Attributes: Global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: tagdocs

<valList>

(value list) contains one or more valItem elements defining possible values for an attribute.

Class: att.identifiable

Declaration

element valList { att.identifiable.attributes, attribute copyOf { data.pointer }?, attribute type { "closed" | "semi" | "open" }?, att.identifiable.attribute.ident, att.identifiable.attribute.ns, valItem+ }

Attributes: In addition to global attributes and those inherited from [att.identifiable ]
copyOf
supplies the identifier of a previously-defined value list to be used at this point
type
specifies the extensibility of the list of attribute values specified. Legal values are:
closed
(only the values specified are permitted.)
semi
(all the values specified should be supported, but other values are legal and software should have appropriate fallback processing for them. )
open
(the values specified are sample values only.)
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: tagdocs

<valSource>

specifies where the xaira indexer is to find a value.

Class: att.identifiable

Declaration

element valSource { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, attribute type { "element" | "attribute" | "pseudo" }, attribute caseFold { text }?, ( nameList?, ( defaultVal | labelGen )? ) }

Attributes: In addition to global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: module-from-bncxml

<vocal>

(Vocalized semi-lexical) any vocalized but not necessarily lexical phenomenon, for example voiced pauses, non-lexical backchannels, etc.

Class: model.divPart.spoken: att.timed: att.ascribed

Declaration

element vocal { att.timed.attributes, att.ascribed.attributes, attribute desc { text }?, att.timed.attribute.dur, att.ascribed.attribute.who, empty }

Attributes: In addition to global attributes and those inherited from [att.timed att.ascribed ]
desc
provides a brief description of the vocal event
att.timed.attribute.dur
att.ascribed.attribute.who

Example

 <u who="PS000">   <vocal desc="laugh"/>  </u>

Module: spoken

<w>

(word) represents a grammatical (not necessarily orthographic) word.

Class: att.c5coded: model.segLike

Declaration

element w { att.c5coded.attributes, model.segLike.attributes, attribute pos { "ADJ" | "ADV" | "ART" | "CONJ" | "INTERJ" | "PREP" | "PRON" | "STOP" | "SUBST" | "UNC" | "VERB" }, attribute hw { text }, att.c5coded.attribute.c5, text }

Attributes: In addition to global attributes and those inherited from [att.c5coded ]
pos
supplies a simplified part-of-speech code. Legal values are:
ADJ
adjective
ADV
adverb
ART
article
CONJ
conjunction
INTERJ
interjection
PREP
preposition
PRON
pronoun
STOP
punctuation
SUBST
substantive
UNC
unclassified or non-lexical word
VERB
verb
hw
specifies the headword under which this lexical unit is conventionally grouped, where known.
att.c5coded.attribute.c5

Example

 <w c5="PNP" hw="i" pos="PRON">I </w>  <w c5="VDB" hw="do" pos="VERB">do</w>  <w c5="XX0" hw="not" pos="ADV">n't </w>  <w c5="VVI" hw="care" pos="VERB">care </w>

Module: analysis

<wtext>

contains a single written text.

Declaration

element wtext { attribute type { "ACPROSE" | "FICTION" | "NEWS" | "NONAC" | "OTHERPUB" | "UNPUB" }, ( ( model.divPart | model.global )*, ( div, ( div | model.global )* )? ) }

Attributes: In addition to global attributes

Module: textstructure

<xairaItem>

provides data needed to define one part of a xaira specification.

Class: att.identifiable

Declaration

element xairaItem { att.identifiable.attributes, att.identifiable.attribute.ident, att.identifiable.attribute.ns, attribute type { "element" | "form" | "addKey" | "lemmaScheme" | "region" | "textRef" | "scopeRef" | "unitRef" | "indexPol" | "defaultLang" | "langRules" }, ( desc*, ( ( valSource, labelGen? ) | attList | nameList | elementPolicy | attributePolicy | tokenize | collate )? ) }

Attributes: In addition to global attributes and those inherited from [att.identifiable ]
att.identifiable.attribute.ident
att.identifiable.attribute.ns

Module: module-from-bncxml

<xairaList>

contains a list of xaira parameters of a particular type

Declaration

element xairaList { attribute type { "elementSpec" | "keySpec" | "regionSpec" | "lemmaSpec" | "refSpec" | "indexSpec" | "langSpec" }, xairaItem+ }

Attributes: In addition to global attributes

Module: module-from-bncxml

<xairaSpecification>

specifies additional information needed by xaira.

Class: model.encodingPart

Declaration

element xairaSpecification { xairaList+ }

Attributes: Global attributes only

Module: module-from-bncxml

<bnc>

(TEI corpus) contains the whole of a TEI encoded corpus, comprising a single corpus header and one or more TEI elements, each containing a single text header and a text.

bnc

Declaration

element teiCorpus { teiHeader, bncDoc+ }

Attributes: Global attributes only

Example

 <teiCorpus>   <teiHeader> <!-- header for corpus -->   </teiHeader>   <TEI>    <teiHeader> <!-- header for first text -->    </teiHeader>    <text> <!-- content of first text -->    </text>   </TEI>   <TEI>    <teiHeader> <!-- header for second text -->    </teiHeader>    <text> <!-- content of second text -->    </text>   </TEI> <!-- more TEI elements here -->  </teiCorpus>

Note: Must contain one TEI header for the corpus, and a series of <TEI> elements, one for each text.This element is mandatory when applicable.

Module: core

Macros defined

Macro data.count

defines the range of attribute values used for a non-negative integer value used as a count

Declaration

data.count = xsd:nonNegativeInteger

Note: Only positive integer values are permitted

Module: tei

Macro data.enumerated

defines the range of attribute values expressed as a single word or token taken from a list of documented possibilities

Declaration

data.enumerated = token

Note: Typically, the list of documented possibilities will be provided (or exemplified) by a value list in the associated element specification. If the value contains whitespace, it must be normalised: neither leading or trailing sequences of whitespace characters nor internal sequences of more than one whitespace character are allowed.

Module: tei

Macro data.language

defines the range of attribute values used to identify a particular combination of human language and writing system

Declaration

data.language = xsd:language

Note: The values for this attribute are language ‘tags’ as defined in RFC 3066 or its successor. Examples include
sn
Shona
zh-TW
Taiwanese
en-SL
English as spoken in Sierra Leone
pl
Polish
es-MX
Spanish as spoken in Mexico

Module: tei

Macro data.name

defines the range of attribute values expressed as an XML name or identifier

Declaration

data.name = xsd:Name

Note: Attributes using this datatype must contain a single word which follows the rules defining a legal XML name: for example they cannot include whitespace or begin with digits.

Module: tei

Macro data.namespace

(an XML namespace) defines the range of attribute values used to indicate XML namespaces as defined by the W3C Namespaces in XML technical recommendation

Declaration

data.namespace = xsd:anyURI

Note: The range of syntactically valid values is defined by RFC 2396 Uniform Resource Identifier (URI) Reference

Module: tei

Macro data.pointer

defines the range of attribute values used to provide a single pointer to any other resource, either within the current document or elsewhere

Declaration

data.pointer = xsd:anyURI

Note: The range of syntactically valid values is defined by RFC 2396 Uniform Resource Identifier (URI) Reference

Module: tei

Macro data.pointers

defines the range of attribute values used to provide a list of pointers to other resources, either within the current document or elsewhere

Declaration

data.pointers = list { data.pointer+ }

Note: A white-space delimited list of values, defined by the datatype data.pointer

Module: tei

Macro data.temporal

defines the range of attribute values expressing a temporal expression such as a date, a time, or a combination of them

Declaration

data.temporal = xsd:date | xsd:gYear | xsd:gYearMonth

Note: A normalized form of temporal expression conforming to the W3C XML Schema Part 2: Datatypes Second Edition, except that times may be expressed with reduced precision (i.e., to the minute or the hour). Software intended for use with W3C XML Schema datatypes may be unable to properly process times expressed with reduced precision.If it is likely that the value used is to be compared with another, then a time zone indicator should always be included, and only the dateTime representation should be used.

Module: tei

Macro data.word

defines the range of attribute values expressed as a single word or token

Declaration

data.word = token { pattern = "(\p{L}|\p{N}|\p{P}|\p{S})+" }

Note: Attributes using this datatype must contain a single ‘word’ which contains only letters, digits, punctuation characters, or symbols: thus it cannot include whitespace.

Module: tei

Macro macro.fileDescPart

(file description elements) groups elements which occur inside fileDesc and biblFull

Declaration

macro.fileDescPart = titleStmt, editionStmt?, extent?, publicationStmt

Module: tei

Macro macro.paraContent

(paragraph content) defines the content of paragraphs and similar elements.

Declaration

macro.paraContent = ( model.phrase | model.inter | model.global )+

Module: tei

Macro macro.phraseSeq

(phrase sequence) defines a sequence of character data and phrase-level elements.

Declaration

macro.phraseSeq = text

Module: tei

Macro mix.spoken

(mixed-base spoken-text components) contains a string used in constructing the definition of macro.component used in the mixed base tag set.

Declaration

mix.spoken = model.divPart.spoken

Module: spoken

Notes
1.
The terms "POS-tagging" and "wordclass tagging" are used interchangeably in this manual.
2.
The only exceptions to this statement are: (i) the file F9M, which contains the Rap poetry "City Psalms" by Benjamin Zephaniah. It was thoroughly hand-corrected because the tagger, not familiar with Jamaican Creole, had produced an inordinate number of tagging errors. (ii) files identified as containing many foreign and classical expressions, as mentioned above.
3.
In BNC version 1, the quantifier a little meaning 'a small amount' was sometimes (but not reliably) tagged as a multiword DT0
4.
In our experience, human analysts too sometimes have difficulty resolving ambiguities such as these, especially when using the plain orthographic transcriptions of the BNC, and with no direct access to the original sound recordings.
5.
That is, the error rate based on CLAWS's first choice tag only.
6.
We borrow the term "patching" from Brill (1992), although for his tagging program the patches are discovered by an automatic procedure.
7.
The repetition value of up to 16 words was reached at by trial and error; an occurrence of a finite verb beyond that range was rarely in the same clause as the #AFTER-type word.
8.
Training and testing were mostly carried out on the BNC Sampler corpus of 2 million words. For less frequent phenomena we needed to use sections from the full BNC. None of the texts used for the tagging error report is included in the Sampler.