[Corpora-List] Summary: Genre-Specific Corpora

[Marina Santini]

Many thanks to Laura Christopherson, Cohan Sujay Carlos, Vineet
Yadav, Jason Teeple, Leslie Barrett, Joakim Nordström, Bob Kuhns,
Dong Wang, Dave Lewis, John Tait, and Loredana Cerrato.

Suggested Corpora and Resources in English if not stated otherwise
(not all of them are free of charge)

Genre-specific corpora:
- Genre: SMS Messages = NUS SMS corpus:
http://wing.comp.nus.edu.sg:8080/SMSCorpus/ (English / Chinese)

- Genre: chatlogs = CODIAC chatlogs
(http://data.eol.ucar.edu/codiac/dss/id=92.124;
http://data.eol.ucar.edu/codiac/dss/id=88.044;
http://data.eol.ucar.edu/codiac/dss/id=107.010)

- Genre: chatlogs = Many Eyes datasets: some chatlogs can be found
here:
http://www-958.ibm.com/software/data/cognos/manyeyes/datasets

- Genre: chats and switchboard conversations =
Switchboard corpus and NPS chat corpus samples NLTK in NLTK data
(http://nltk.googlecode.com/svn/trunk/nltk_data/index.xml). The NPS
chat corpus (http://faculty.nps.edu/cmartell/NPSChat.htm) is a POS
tagged chat corpus and the switchboard corpus
(http://spot.colorado.edu/~michaeli/Lexsubj/swbd.html) is a telephonic
conversation corpus.

- The Linguistics Data Consortium has a good deal of telephone
conversation - many files and a variety of languages. See
http://www.ldc.upenn.edu/Catalog/byType.jsp#lexicon,%20speech,%20
text (not for free)

- Genre: blogs = The Corporate weblogs dataset in TREC datasets
(http://ir.dcs.gla.ac.uk/test_collections/) is not for free. Helpful wiki:
http://ir.dcs.gla.ac.uk/wiki/TREC-BLOG
- Genre: corporate blogs = It is possible to pull corporate blog feeds
or scrape the blogs from this list:
http://www.debbieweil.com/blog/list-of-67-big-brand-corporate-blogs/

- The Göteborg Spoken Language Corpus and other corpora in
Swedish (http://spraakbanken.gu.se/)

- Genre: tweets = The twitter corpus associated with the paper
www.stanford.edu/~alecmgo/papers/TwitterDistantSupervision09.pdf is
here: https://sites.google.com/site/twittersentimenthelp/for-researchers

- Genre: tweets and other microblogs= MicroBlog track
http://sites.google.com/site/trecmicroblogtrack/ (not for free)

- Genre: Newswires: Reuters' Newswires collections =
http://trec.nist.gov/data/reuters/reuters.html

- Genre: emails = Enron corpus (http://www.cs.cmu.edu/~enron/);
categorized Enron emails (http://sgi.nu/enron/corpora.php)

- Genre: emails = Junk email corpus
(http://clg.wlv.ac.uk/resources/junk-emails/index.php)

- Genre: FAQs = 200 FAQs
(http://www.itri.brighton.ac.uk/~Marina.Santini/#Download)

Resources:
- In terms of words and concept, there are two main resources for
English. First is WordNet, originally from Princeton, it is in NLTK (and
one can get it separately). It is English words 'organized' according to
their relationships: synonym, hyponym, piece of a whole, etc. The other
resource is Word Association Norms, one can get that from the
University of South Florida (http://w3.usf.edu/FreeAssociation/).
- Article: Hella Koo Finding: Twitter Dialect -
http://blogs.wsj.com/ideas-market/2011/02/08/hella-koo-finding-twitter-
dialect/
- Genre: tweets = the suggestion is to use Twitter API to crawl twitter
dataset.
- DiscoverText is a program you can use to scoop out Twitter feeds
really easily. Their website is here:
http://discovertext.com/defaultDT2.aspx
One can do a free 30 day trial and get a bunch of Twitter messages.

Note:
Genre: Tweets = The Edinburg Tweets corpus has been withdrawn:
http://demeter.inf.ed.ac.uk/

-- 
Marina Santini
The webgenre blog: http://www.forum.santini.se/

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