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Corpus Linguistics
and Sociolinguistics
By Naveed Khokher
M.A applied Linguistics (GCUF)
Contents of Discussion:
01. Introduction
02. Corpora of particular interest to sociolinguists
03. Investigating sociolinguistics variables using corpora
04. Correlations among variables and the social embedding
of variation and change
05. Limitations of corpora for sociolinguistic research
01. Introduction:
Sociolinguistics:
The study of language in relation to social factors, including
differences of regional, class, and occupational dialect, gender
differences, and bilingualism.
Corpus linguistics:
Corpus linguistics is the study of language as expressed in corpora
of "real world" text. Corpus linguistics proposes that reliable
language analysis is more feasible with corpora collected in the
field in its natural context
• Sociolinguistics and corpus linguistics share a natural affinity.
• Sociolinguistics and corpus linguistics relates with each other
with one prominent branch.
• This branch of sociolinguistics devoted to the study of spoken
and written language in context.
• One goal of this kind of sociolinguistics is to compile a corpus of
data suitable for quantitative analysis of linguistics and social
variables.
• These social variables are social class, gender, redion, ethnicity,
style and age.
• Sociolinguistics began before corpus linguistics but with the
widespread of computer and new technologies, this is more
enhanced.
• Corpus linguists emphasis on standard written text and
annotations
• Most Sociolinguists design and compile their own corpora based
on the particular variables under investigation and annotate for
their own purpose.
• The purpose of study of spoken data is to examine sociolinguistic
studies of urban speech community such as post-vocalic /r/ and
initial /h/
• Term Post-vocalic /r/ is also know as rhetoric and non-rhetoric
consents.
2. Corpora of particular interest to sociolinguists
The following list gives a brief hint at some of the currently
available corpora that might of interest to sociolinguists.
i. The British National Corpus (BNC)
ii. Brown Corpus of American English (Brown)
iii. Australian Corpus of English (ACE)
iv. Wellington Corpus of written and Spoken New Zealand English
(WCNZE)
v. London-Lund Corpus of Spoken English (LLC)
vi. International Corpus of English (ICE)
vii. American National Corpus (ANC)
viii.Corpus of Spoken, Professional American-English (CSPA)
ix. Corpus of London Teenage Language (COLT)
3. Investigating sociolinguistic variables using Corpora
• Variationist methodology came into prominence in late 1960s to
fill perceived gaps in traditional studies.
• Dialectologists in the 19th and early 20th centuries concentrated
the rural dialects which they believed would soon disappear.
• Their primary concern was to map the geographical distribution
across region. E.g: dragon fly vs darning needle.
• The results took many years to print and were displayed in
linguistic atlases of maps showing the geographical boundaries.
• The informants for the various surveys were classified according
to social criteria e.g. degree of formal education, occupation,
age, sex.
• By contrast, sociolinguists turned their attention to the language
of cities where world’s population lives in modern times.
• Sociolinguists collected spoken data that were transcribed and
analyzed.
• They paid attention to easily quantifiable linguistic features e.g.
post-vocalic /r/ in words such as cart etc.
• Most of the variables studied in detail have tended to be
phonological and lesser extent to grammatical.
• Some variable are unique to particular communities, while others
are shared across the English-speaking world.
3.1 Sociolinguistics variables:
• Region
The first generation corpora (Brown, LOB etc.) along with ICE and BNC are ideal for
comparing features across different varieties of English. They provide a rich source of
information on lexical, spelling and grammatical differences among the major regional
varieties of English.
• Social class
In the mid 1950s Ross (1980) suggested that certain lexical and phonological differences
in English could be classified as U (upper class) or non-U (lower class),
e. g. serviette ( non-U) vs. table-napkin (U)
Other notable pairs are one’s bath (U) vs. take a bath (non-U), writing paper vs. note
paper (non-U), pudding (U) vs. sweet (non-U), or what would be called dessert in the US.
Such claims can be tested against corpora such as BNC that include information about
the social status of speakers
• Gender
Work on the relationship between language and gender was done by Lakoff (1975), he
suggested that women made use of a larger color vocabulary than men. she noted that
women were more likely to use non-basic color terms such as mauve, beige, etc. as well as
more secondary color terms such as sky blue, pale green, hot pink, etc.
She also said that women used a different set of evaluative adjectives, called ‘empty
adjectives’ more frequently than men, including words such as lovely, divine, adorable,
sweet, cute, etc.
Her claims can readily be tested with corpora such as BNC that include information on
the sex of the speaker/author.
• Style
Style is a notoriously difficult term to define, but at its simplest, variation between
genres, text types, etc. One of the first observations made by early corpus linguists
working with the first generation of computerized corpora was that syntactic
constructions such as the passive were unevenly distributed across text types.
• Age
The age distribution of a variable may be an important clue to on-going change in a
community. Some patterns of ‘age grading’ (i. e. variation correlated to age) may reflect a
passing fad (e. g. teenage slang), or be repeated anew in each generation
(e. g. swearing by young males) and not lead to long-term change in the community
as a whole.
As a simple example of age-grading, take the distribution of the word wireless ‘radio’
4. Correlations among variables and the social
embedding of variation and change
Linguistic features figure in patterns of both regional and social dialect differentiation at
the same time as they also display correlations with other social factors.
Generally speaking, the use of non-standard forms increases, the less formal the style and
the lower one’s social status. All groups recognize the overt greater prestige of standard
speech and shift towards it in more formal styles. Another sociolinguistic pattern is that
women, regardless of other social characteristics such as class, age, etc., tend to use more
standard forms than men.
E.g. The phonologically condensed form gonna and the full form going to. Form gonna was more
frequent in the spoken component, in informal contexts, among the youngest two age groups,
and men.

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Ch 6 corpus linguistics

  • 1. Corpus Linguistics and Sociolinguistics By Naveed Khokher M.A applied Linguistics (GCUF)
  • 2. Contents of Discussion: 01. Introduction 02. Corpora of particular interest to sociolinguists 03. Investigating sociolinguistics variables using corpora 04. Correlations among variables and the social embedding of variation and change 05. Limitations of corpora for sociolinguistic research
  • 3. 01. Introduction: Sociolinguistics: The study of language in relation to social factors, including differences of regional, class, and occupational dialect, gender differences, and bilingualism. Corpus linguistics: Corpus linguistics is the study of language as expressed in corpora of "real world" text. Corpus linguistics proposes that reliable language analysis is more feasible with corpora collected in the field in its natural context
  • 4. • Sociolinguistics and corpus linguistics share a natural affinity. • Sociolinguistics and corpus linguistics relates with each other with one prominent branch. • This branch of sociolinguistics devoted to the study of spoken and written language in context. • One goal of this kind of sociolinguistics is to compile a corpus of data suitable for quantitative analysis of linguistics and social variables. • These social variables are social class, gender, redion, ethnicity, style and age. • Sociolinguistics began before corpus linguistics but with the widespread of computer and new technologies, this is more enhanced.
  • 5. • Corpus linguists emphasis on standard written text and annotations • Most Sociolinguists design and compile their own corpora based on the particular variables under investigation and annotate for their own purpose. • The purpose of study of spoken data is to examine sociolinguistic studies of urban speech community such as post-vocalic /r/ and initial /h/ • Term Post-vocalic /r/ is also know as rhetoric and non-rhetoric consents.
  • 6. 2. Corpora of particular interest to sociolinguists The following list gives a brief hint at some of the currently available corpora that might of interest to sociolinguists. i. The British National Corpus (BNC) ii. Brown Corpus of American English (Brown) iii. Australian Corpus of English (ACE) iv. Wellington Corpus of written and Spoken New Zealand English (WCNZE) v. London-Lund Corpus of Spoken English (LLC) vi. International Corpus of English (ICE) vii. American National Corpus (ANC) viii.Corpus of Spoken, Professional American-English (CSPA) ix. Corpus of London Teenage Language (COLT)
  • 7. 3. Investigating sociolinguistic variables using Corpora • Variationist methodology came into prominence in late 1960s to fill perceived gaps in traditional studies. • Dialectologists in the 19th and early 20th centuries concentrated the rural dialects which they believed would soon disappear. • Their primary concern was to map the geographical distribution across region. E.g: dragon fly vs darning needle. • The results took many years to print and were displayed in linguistic atlases of maps showing the geographical boundaries. • The informants for the various surveys were classified according to social criteria e.g. degree of formal education, occupation, age, sex. • By contrast, sociolinguists turned their attention to the language of cities where world’s population lives in modern times.
  • 8. • Sociolinguists collected spoken data that were transcribed and analyzed. • They paid attention to easily quantifiable linguistic features e.g. post-vocalic /r/ in words such as cart etc. • Most of the variables studied in detail have tended to be phonological and lesser extent to grammatical. • Some variable are unique to particular communities, while others are shared across the English-speaking world.
  • 9. 3.1 Sociolinguistics variables: • Region The first generation corpora (Brown, LOB etc.) along with ICE and BNC are ideal for comparing features across different varieties of English. They provide a rich source of information on lexical, spelling and grammatical differences among the major regional varieties of English. • Social class In the mid 1950s Ross (1980) suggested that certain lexical and phonological differences in English could be classified as U (upper class) or non-U (lower class), e. g. serviette ( non-U) vs. table-napkin (U) Other notable pairs are one’s bath (U) vs. take a bath (non-U), writing paper vs. note paper (non-U), pudding (U) vs. sweet (non-U), or what would be called dessert in the US. Such claims can be tested against corpora such as BNC that include information about the social status of speakers
  • 10. • Gender Work on the relationship between language and gender was done by Lakoff (1975), he suggested that women made use of a larger color vocabulary than men. she noted that women were more likely to use non-basic color terms such as mauve, beige, etc. as well as more secondary color terms such as sky blue, pale green, hot pink, etc. She also said that women used a different set of evaluative adjectives, called ‘empty adjectives’ more frequently than men, including words such as lovely, divine, adorable, sweet, cute, etc. Her claims can readily be tested with corpora such as BNC that include information on the sex of the speaker/author. • Style Style is a notoriously difficult term to define, but at its simplest, variation between genres, text types, etc. One of the first observations made by early corpus linguists working with the first generation of computerized corpora was that syntactic constructions such as the passive were unevenly distributed across text types.
  • 11. • Age The age distribution of a variable may be an important clue to on-going change in a community. Some patterns of ‘age grading’ (i. e. variation correlated to age) may reflect a passing fad (e. g. teenage slang), or be repeated anew in each generation (e. g. swearing by young males) and not lead to long-term change in the community as a whole. As a simple example of age-grading, take the distribution of the word wireless ‘radio’
  • 12. 4. Correlations among variables and the social embedding of variation and change Linguistic features figure in patterns of both regional and social dialect differentiation at the same time as they also display correlations with other social factors. Generally speaking, the use of non-standard forms increases, the less formal the style and the lower one’s social status. All groups recognize the overt greater prestige of standard speech and shift towards it in more formal styles. Another sociolinguistic pattern is that women, regardless of other social characteristics such as class, age, etc., tend to use more standard forms than men. E.g. The phonologically condensed form gonna and the full form going to. Form gonna was more frequent in the spoken component, in informal contexts, among the youngest two age groups, and men.