| | 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() |
| |
|
| | --------- |
| | |
