Corpus methods for sociolinguistics. Emily M. Bender NWAV 31 - October 10, 2002
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1 Corpus methods for sociolinguistics Emily M. Bender NWAV 31 - October 10, 2002
2 Overview Introduction Corpora of interest Software for accessing and analyzing corpora (demo) Basic programming tools Creating & publishing corpora
3 Introduction
4 Sociolinguistics IS corpus linguistics
5 Sociolinguistics IS corpus linguistics Study naturally occurring data
6 Sociolinguistics IS corpus linguistics Study naturally occurring data... in context
7 Sociolinguistics IS corpus linguistics Study naturally occurring data... in context... including frequency of (co)-occurrence
8 Goals
9 Goals What kinds of resources are out there
10 Goals What kinds of resources are out there How to learn more about those resources
11 Goals What kinds of resources are out there How to learn more about those resources How to find more resources
12 Goals What kinds of resources are out there How to learn more about those resources How to find more resources Encourage you to create & publish corpora
13 Rules of thumb If it s tedious, a computer could probably do it for you.
14 Rules of thumb If it s tedious, a computer could probably do it for you. If you ll be doing much more of it, or doing it again later, it s probably worth figuring out how to get a computer to do it for you.
15 The only URL you need to know bender/corpora_sociolx.shtml
16 Corpora of Interest
17 BNC
18 1994 BNC
19 BNC ,000,000+ words (90% written, 10% spoken)
20 BNC ,000,000+ words (90% written, 10% spoken) Some coding for age, gender, region, social class, audience, genre
21 BNC ,000,000+ words (90% written, 10% spoken) Some coding for age, gender, region, social class, audience, genre Available for purchase ( 250/network license, 50 single user license) or online subscription (price depending on number of machines it will be used on)
22 BNC ,000,000+ words (90% written, 10% spoken) Some coding for age, gender, region, social class, audience, genre Available for purchase ( 250/network license, 50 single user license) or online subscription (price depending on number of machines it will be used on) Some (limited) access is available for free online
23 BNC Supported by bnc-discuss, a mailing list on the use of the BNC
24 BNC Supported by bnc-discuss, a mailing list on the use of the BNC Marked up with SGML
25 BNC Supported by bnc-discuss, a mailing list on the use of the BNC Marked up with SGML Comes with SARA software for easy access
26 ANC
27 In progress ANC
28 ANC In progress Modeled on the BNC
29 ANC In progress Modeled on the BNC Core corpus: 100,000,000 words, similar genre distribution to BNC
30 ANC In progress Modeled on the BNC Core corpus: 100,000,000 words, similar genre distribution to BNC Plus potentially several hundreds of millions more words
31 ANC First installment (10 million words) this fall
32 ANC First installment (10 million words) this fall preliminary search tools
33 ANC First installment (10 million words) this fall preliminary search tools spoken data: LDC Switchboard & CallHome (2 million words)
34 ANC First installment (10 million words) this fall preliminary search tools spoken data: LDC Switchboard & CallHome (2 million words) written data: NYT (1.5 million words), ephemera, novels
35 ANC First installment (10 million words) this fall preliminary search tools spoken data: LDC Switchboard & CallHome (2 million words) written data: NYT (1.5 million words), ephemera, novels Completion in 2004
36 ICE
37 ICE Parallel corpora from 20 sites around the world
38 ICE Parallel corpora from 20 sites around the world Spoken and written,
39 ICE Parallel corpora from 20 sites around the world Spoken and written, Spoken genres include conversations, classroom lessons, broadcast interviews, legal cross-examination, parliamentary debate
40 ICE Parallel corpora from 20 sites around the world Spoken and written, Spoken genres include conversations, classroom lessons, broadcast interviews, legal cross-examination, parliamentary debate 1,000,000 words in each corpus
41 A few others Switchboard (LDC): strangers speaking to each other over the telephone on randomly selected topics (speech files & transcripts) (American English)
42 A few others Switchboard (LDC): strangers speaking to each other over the telephone on randomly selected topics (speech files & transcripts) (American English) CallHome (LDC): telephone conversations between close friends & family members. (speech files & transcripts) (American English, Egyptian Arabic, German, Japanese, Mandarin, Spanish)
43 A few others Switchboard (LDC): strangers speaking to each other over the telephone on randomly selected topics (speech files & transcripts) (American English) CallHome (LDC): telephone conversations between close friends & family members. (speech files & transcripts) (American English, Egyptian Arabic, German, Japanese, Mandarin, Spanish) CallFriend (LDC): like CallHome, more languages, not (yet?) transcribed
44 A few others LIPPS (TalkBank): Language Interaction in Plurilingual and Plurilectal Speakers (code-switching data)
45 A few others LIPPS (TalkBank): Language Interaction in Plurilingual and Plurilectal Speakers (code-switching data) CHILDES (TalkBank): Language acquisition data (child and adult, first and second language)
46 Where to find corpora
47 TalkBank Where to find corpora
48 Where to find corpora TalkBank LDC: Linguistic Data Consortium
49 Where to find corpora TalkBank LDC: Linguistic Data Consortium ELRA: European Language Resources Association
50 Where to find corpora TalkBank LDC: Linguistic Data Consortium ELRA: European Language Resources Association ICAME: International Computer Archive of Modern and Medieval English
51 Where to find corpora TalkBank LDC: Linguistic Data Consortium ELRA: European Language Resources Association ICAME: International Computer Archive of Modern and Medieval English Indices maintained by individuals
52 Where to find corpora TalkBank LDC: Linguistic Data Consortium ELRA: European Language Resources Association ICAME: International Computer Archive of Modern and Medieval English Indices maintained by individuals The corpora mailing list
53 Software
54 Kinds of useful software
55 Kinds of useful software Preparation: taggers, tokenizers, parsers
56 Kinds of useful software Preparation: taggers, tokenizers, parsers Searching
57 Kinds of useful software Preparation: taggers, tokenizers, parsers Searching Coding
58 Kinds of useful software Preparation: taggers, tokenizers, parsers Searching Coding Transcribing
59 Taggers/Tokenizers AMALGAM: pos tagger for English, available over the internet
60 Taggers/Tokenizers AMALGAM: pos tagger for English, available over the internet ChaSen: tagger, morphological analyzer and tokenizer for Japanese (free download)
61 Taggers/Tokenizers AMALGAM: pos tagger for English, available over the internet ChaSen: tagger, morphological analyzer and tokenizer for Japanese (free download)...
62 Searching: BNCweb A beautiful search interface for the BNC (World Edition)
63 Searching: BNCweb A beautiful search interface for the BNC (World Edition) Links up to SARA
64 Searching: BNCweb A beautiful search interface for the BNC (World Edition) Links up to SARA In principle could be used with other corpora, provided they were formatted & marked up properly
65 Searching: BNCweb A beautiful search interface for the BNC (World Edition) Links up to SARA In principle could be used with other corpora, provided they were formatted & marked up properly Available for 30 Euros
66 Searching: BNCweb A beautiful search interface for the BNC (World Edition) Links up to SARA In principle could be used with other corpora, provided they were formatted & marked up properly Available for 30 Euros demo
67 Searching: TIGERSearch A search engine for searching treebanks
68 Searching: TIGERSearch A search engine for searching treebanks Query language is akin to TFS formalisms
69 Searching: TIGERSearch A search engine for searching treebanks Query language is akin to TFS formalisms Available for free
70 Coding: Goldsearch Software for creating input file for VARBRUL
71 Coding: Goldsearch Software for creating input file for VARBRUL Input: Text file annotated with independent variable values Speaker file indicating variable values for each speaker
72 Coding: Goldsearch Software for creating input file for VARBRUL Input: Text file annotated with independent variable values Speaker file indicating variable values for each speaker Output: File suitable for VARBRUL input Speaker variables recorded for each token Any other annotations recorded for each token
73 Coding: Goldsearch Software for creating input file for VARBRUL Input: Text file annotated with independent variable values Speaker file indicating variable values for each speaker Output: File suitable for VARBRUL input Speaker variables recorded for each token Any other annotations recorded for each token Available for free
74 Coding: Goldsearch Software for creating input file for VARBRUL Input: Text file annotated with independent variable values Speaker file indicating variable values for each speaker Output: File suitable for VARBRUL input Speaker variables recorded for each token Any other annotations recorded for each token Available for free demo
75 Transcribing: TalkBank tools
76 Transcribing: TalkBank tools CLAN: An editor for files in CHAT (like CHILDES) or CA (Conversation Analysis) format (free)
77 Transcribing: TalkBank tools CLAN: An editor for files in CHAT (like CHILDES) or CA (Conversation Analysis) format (free) Transana: A tool designed to facilitate transcription and analysis of video data (free)
78 Transcribing: TalkBank tools CLAN: An editor for files in CHAT (like CHILDES) or CA (Conversation Analysis) format (free) Transana: A tool designed to facilitate transcription and analysis of video data (free) Transcriber: A tool for segmenting, labeling, and transcribing speech (free)
79 Basic Programming Tools
80 Grep (& other unix commands)
81 Grep (& other unix commands) Generalized regular expression printer
82 Grep (& other unix commands) Generalized regular expression printer Useful for pulling examples out of text files
83 Grep (& other unix commands) Generalized regular expression printer Useful for pulling examples out of text files Regular expression syntax similar to that of emacs, perl
84 Grep (& other unix commands) Generalized regular expression printer Useful for pulling examples out of text files Regular expression syntax similar to that of emacs, perl demo
85 Grep (& other unix commands) Generalized regular expression printer Useful for pulling examples out of text files Regular expression syntax similar to that of emacs, perl demo web-based tutorial
86 Perl
87 Perl General purpose programming language
88 Perl General purpose programming language... tuned to be useful for manipulating text files
89 Perl General purpose programming language... tuned to be useful for manipulating text files Interpreted (rather than compiled) language
90 Perl General purpose programming language... tuned to be useful for manipulating text files Interpreted (rather than compiled) language Not that hard to learn
91 Perl General purpose programming language... tuned to be useful for manipulating text files Interpreted (rather than compiled) language Not that hard to learn Recommended reading: Schwartz, Randal L Learning Perl. Sebastopol, CA: O Reilly & Associates.
92 Perl General purpose programming language... tuned to be useful for manipulating text files Interpreted (rather than compiled) language Not that hard to learn Recommended reading: Schwartz, Randal L Learning Perl. Sebastopol, CA: O Reilly & Associates. web-based tutorial
93 Creating & Publishing Corpora
94 More value for effort Why
95 Why More value for effort Comparative studies
96 Why More value for effort Comparative studies Speech data paired with published ethnographic work particularly interesting
97 Why More value for effort Comparative studies Speech data paired with published ethnographic work particularly interesting Video data also interesting
98 Independently How
99 How Independently Through the LDC
100 How Independently Through the LDC Through TalkBank (corpora created with TalkBank tools are expected to be contributed to TalkBank)
101 How Independently Through the LDC Through TalkBank (corpora created with TalkBank tools are expected to be contributed to TalkBank) Human subjects considerations
102 Human Subjects Considerations
103 Human Subjects Considerations Obtain consent (plan ahead!)
104 Human Subjects Considerations Obtain consent (plan ahead!) Preserve anonymity in both speech files and transcripts
105 Human Subjects Considerations Obtain consent (plan ahead!) Preserve anonymity in both speech files and transcripts Consult committee for the protection of human subjects at your institution
106 Conclusion
107 Goals What kinds of resources are out there How to learn more about those resources How to find more resources Encourage you to create & publish corpora
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