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| Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected) | |
| Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have | |
| been contributed by various people using NLTK for sentence boundary detection. | |
| For information about how to use these models, please confer the tokenization HOWTO: | |
| http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html | |
| and chapter 3.8 of the NLTK book: | |
| http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation | |
| There are pretrained tokenizers for the following languages: | |
| File Language Source Contents Size of training corpus(in tokens) Model contributed by | |
| ======================================================================================================================================================================= | |
| czech.pickle Czech Multilingual Corpus 1 (ECI) Lidove Noviny ~345,000 Jan Strunk / Tibor Kiss | |
| Literarni Noviny | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| danish.pickle Danish Avisdata CD-Rom Ver. 1.1. 1995 Berlingske Tidende ~550,000 Jan Strunk / Tibor Kiss | |
| (Berlingske Avisdata, Copenhagen) Weekend Avisen | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| dutch.pickle Dutch Multilingual Corpus 1 (ECI) De Limburger ~340,000 Jan Strunk / Tibor Kiss | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| english.pickle English Penn Treebank (LDC) Wall Street Journal ~469,000 Jan Strunk / Tibor Kiss | |
| (American) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| estonian.pickle Estonian University of Tartu, Estonia Eesti Ekspress ~359,000 Jan Strunk / Tibor Kiss | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| finnish.pickle Finnish Finnish Parole Corpus, Finnish Books and major national ~364,000 Jan Strunk / Tibor Kiss | |
| Text Bank (Suomen Kielen newspapers | |
| Tekstipankki) | |
| Finnish Center for IT Science | |
| (CSC) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| french.pickle French Multilingual Corpus 1 (ECI) Le Monde ~370,000 Jan Strunk / Tibor Kiss | |
| (European) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| german.pickle German Neue Zürcher Zeitung AG Neue Zürcher Zeitung ~847,000 Jan Strunk / Tibor Kiss | |
| (Switzerland) CD-ROM | |
| (Uses "ss" | |
| instead of "ß") | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| greek.pickle Greek Efstathios Stamatatos To Vima (TO BHMA) ~227,000 Jan Strunk / Tibor Kiss | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| italian.pickle Italian Multilingual Corpus 1 (ECI) La Stampa, Il Mattino ~312,000 Jan Strunk / Tibor Kiss | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| norwegian.pickle Norwegian Centre for Humanities Bergens Tidende ~479,000 Jan Strunk / Tibor Kiss | |
| (Bokmål and Information Technologies, | |
| Nynorsk) Bergen | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| polish.pickle Polish Polish National Corpus Literature, newspapers, etc. ~1,000,000 Krzysztof Langner | |
| (http://www.nkjp.pl/) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| portuguese.pickle Portuguese CETENFolha Corpus Folha de São Paulo ~321,000 Jan Strunk / Tibor Kiss | |
| (Brazilian) (Linguateca) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| slovene.pickle Slovene TRACTOR Delo ~354,000 Jan Strunk / Tibor Kiss | |
| Slovene Academy for Arts | |
| and Sciences | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| spanish.pickle Spanish Multilingual Corpus 1 (ECI) Sur ~353,000 Jan Strunk / Tibor Kiss | |
| (European) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| swedish.pickle Swedish Multilingual Corpus 1 (ECI) Dagens Nyheter ~339,000 Jan Strunk / Tibor Kiss | |
| (and some other texts) | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| turkish.pickle Turkish METU Turkish Corpus Milliyet ~333,000 Jan Strunk / Tibor Kiss | |
| (Türkçe Derlem Projesi) | |
| University of Ankara | |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to | |
| Unicode using the codecs module. | |
| Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection. | |
| Computational Linguistics 32: 485-525. | |
| ---- Training Code ---- | |
| # import punkt | |
| import nltk.tokenize.punkt | |
| # Make a new Tokenizer | |
| tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer() | |
| # Read in training corpus (one example: Slovene) | |
| import codecs | |
| text = codecs.open("slovene.plain","Ur","iso-8859-2").read() | |
| # Train tokenizer | |
| tokenizer.train(text) | |
| # Dump pickled tokenizer | |
| import pickle | |
| out = open("slovene.pickle","wb") | |
| pickle.dump(tokenizer, out) | |
| out.close() | |
| --------- | |