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- .gitattributes +24 -0
- nltk_3-8-1/corpora/wordnet.zip +3 -0
- nltk_3-8-1/taggers/averaged_perceptron_tagger.zip +3 -0
- nltk_3-8-1/taggers/averaged_perceptron_tagger/averaged_perceptron_tagger.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt.zip +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/README +98 -0
- nltk_3-8-1/tokenizers/punkt/PY3/czech.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/danish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/dutch.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/english.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/estonian.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/finnish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/french.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/german.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/greek.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/italian.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/malayalam.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/norwegian.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/polish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/portuguese.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/russian.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/PY3/slovene.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/spanish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/swedish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/PY3/turkish.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/README +98 -0
- nltk_3-8-1/tokenizers/punkt/czech.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/danish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/dutch.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/english.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/estonian.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/finnish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/french.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/german.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/greek.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/italian.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/malayalam.pickle +3 -0
- nltk_3-8-1/tokenizers/punkt/norwegian.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/polish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/portuguese.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/russian.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/slovene.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/spanish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/swedish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt/turkish.pickle +0 -0
- nltk_3-8-1/tokenizers/punkt_tab.zip +3 -0
- nltk_3-8-1/tokenizers/punkt_tab/README +98 -0
- nltk_3-8-1/tokenizers/punkt_tab/czech/abbrev_types.txt +118 -0
- nltk_3-8-1/tokenizers/punkt_tab/czech/collocations.tab +96 -0
- nltk_3-8-1/tokenizers/punkt_tab/czech/ortho_context.tab +0 -0
.gitattributes
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nltk_3-8-1/corpora/wordnet.zip filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/taggers/averaged_perceptron_tagger.zip filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/taggers/averaged_perceptron_tagger/averaged_perceptron_tagger.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt_tab.zip filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt.zip filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/malayalam.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/czech.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/danish.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/italian.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/malayalam.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/norwegian.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/polish.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/portuguese.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/slovene.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/spanish.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/swedish.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/tokenizers/punkt/PY3/turkish.pickle filter=lfs diff=lfs merge=lfs -text
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nltk_3-8-1/corpora/wordnet.zip
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nltk_3-8-1/taggers/averaged_perceptron_tagger.zip
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nltk_3-8-1/taggers/averaged_perceptron_tagger/averaged_perceptron_tagger.pickle
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nltk_3-8-1/tokenizers/punkt.zip
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nltk_3-8-1/tokenizers/punkt/PY3/README
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Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected)
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Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have
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been contributed by various people using NLTK for sentence boundary detection.
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For information about how to use these models, please confer the tokenization HOWTO:
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http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html
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and chapter 3.8 of the NLTK book:
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http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation
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There are pretrained tokenizers for the following languages:
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File Language Source Contents Size of training corpus(in tokens) Model contributed by
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=======================================================================================================================================================================
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czech.pickle Czech Multilingual Corpus 1 (ECI) Lidove Noviny ~345,000 Jan Strunk / Tibor Kiss
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Literarni Noviny
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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| 18 |
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danish.pickle Danish Avisdata CD-Rom Ver. 1.1. 1995 Berlingske Tidende ~550,000 Jan Strunk / Tibor Kiss
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(Berlingske Avisdata, Copenhagen) Weekend Avisen
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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dutch.pickle Dutch Multilingual Corpus 1 (ECI) De Limburger ~340,000 Jan Strunk / Tibor Kiss
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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english.pickle English Penn Treebank (LDC) Wall Street Journal ~469,000 Jan Strunk / Tibor Kiss
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(American)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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estonian.pickle Estonian University of Tartu, Estonia Eesti Ekspress ~359,000 Jan Strunk / Tibor Kiss
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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| 28 |
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finnish.pickle Finnish Finnish Parole Corpus, Finnish Books and major national ~364,000 Jan Strunk / Tibor Kiss
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Text Bank (Suomen Kielen newspapers
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Tekstipankki)
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Finnish Center for IT Science
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(CSC)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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french.pickle French Multilingual Corpus 1 (ECI) Le Monde ~370,000 Jan Strunk / Tibor Kiss
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(European)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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german.pickle German Neue Zürcher Zeitung AG Neue Zürcher Zeitung ~847,000 Jan Strunk / Tibor Kiss
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(Switzerland) CD-ROM
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(Uses "ss"
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instead of "ß")
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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greek.pickle Greek Efstathios Stamatatos To Vima (TO BHMA) ~227,000 Jan Strunk / Tibor Kiss
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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italian.pickle Italian Multilingual Corpus 1 (ECI) La Stampa, Il Mattino ~312,000 Jan Strunk / Tibor Kiss
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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norwegian.pickle Norwegian Centre for Humanities Bergens Tidende ~479,000 Jan Strunk / Tibor Kiss
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(Bokmål and Information Technologies,
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Nynorsk) Bergen
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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polish.pickle Polish Polish National Corpus Literature, newspapers, etc. ~1,000,000 Krzysztof Langner
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(http://www.nkjp.pl/)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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portuguese.pickle Portuguese CETENFolha Corpus Folha de São Paulo ~321,000 Jan Strunk / Tibor Kiss
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(Brazilian) (Linguateca)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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slovene.pickle Slovene TRACTOR Delo ~354,000 Jan Strunk / Tibor Kiss
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Slovene Academy for Arts
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and Sciences
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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spanish.pickle Spanish Multilingual Corpus 1 (ECI) Sur ~353,000 Jan Strunk / Tibor Kiss
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(European)
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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swedish.pickle Swedish Multilingual Corpus 1 (ECI) Dagens Nyheter ~339,000 Jan Strunk / Tibor Kiss
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(and some other texts)
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| 65 |
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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| 66 |
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turkish.pickle Turkish METU Turkish Corpus Milliyet ~333,000 Jan Strunk / Tibor Kiss
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| 67 |
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(Türkçe Derlem Projesi)
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University of Ankara
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| 69 |
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-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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| 70 |
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| 71 |
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The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to
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| 72 |
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Unicode using the codecs module.
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| 73 |
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| 74 |
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Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection.
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| 75 |
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Computational Linguistics 32: 485-525.
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| 76 |
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| 77 |
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---- Training Code ----
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| 78 |
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| 79 |
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# import punkt
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| 80 |
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import nltk.tokenize.punkt
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| 81 |
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| 82 |
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# Make a new Tokenizer
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tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()
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# Read in training corpus (one example: Slovene)
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import codecs
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text = codecs.open("slovene.plain","Ur","iso-8859-2").read()
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| 88 |
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# Train tokenizer
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| 90 |
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tokenizer.train(text)
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# Dump pickled tokenizer
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| 93 |
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import pickle
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out = open("slovene.pickle","wb")
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pickle.dump(tokenizer, out)
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out.close()
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---------
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nltk_3-8-1/tokenizers/punkt/PY3/czech.pickle
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oid sha256:28e3a4cd2971989b3cb9fd3433a6f15d17981e464db2be039364313b5de94f29
|
| 3 |
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size 553575
|
nltk_3-8-1/tokenizers/punkt/PY3/german.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:ddcbbe85e2042a019b1a6e37fd8c153286c38ba201fae0f5bfd9a3f74abae25c
|
| 3 |
+
size 1463575
|
nltk_3-8-1/tokenizers/punkt/PY3/greek.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:85dabc44ab90a5f208ef37ff6b4892ebe7e740f71fb4da47cfd95417ca3e22fd
|
| 3 |
+
size 876006
|
nltk_3-8-1/tokenizers/punkt/PY3/italian.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:68a94007b1e4ffdc4d1a190185ca5442c3dafeb17ab39d30329e84cd74a43947
|
| 3 |
+
size 615089
|
nltk_3-8-1/tokenizers/punkt/PY3/malayalam.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f8cf58acbdb7f472ac40affc13663be42dafb47c15030c11ade0444c9e0e53d
|
| 3 |
+
size 221207
|
nltk_3-8-1/tokenizers/punkt/PY3/norwegian.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ff7a46d1438b311457d15d7763060b8d3270852c1850fd788c5cee194dc4a1d
|
| 3 |
+
size 1181271
|
nltk_3-8-1/tokenizers/punkt/PY3/polish.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:624900ae3ddfb4854a98c5d3b8b1c9bb719975f33fee61ce1441dab9f8a00718
|
| 3 |
+
size 1738386
|
nltk_3-8-1/tokenizers/punkt/PY3/portuguese.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02a0b7b25c3c7471e1791b66a31bbb530afbb0160aee4fcecf0107652067b4a1
|
| 3 |
+
size 611919
|
nltk_3-8-1/tokenizers/punkt/PY3/russian.pickle
ADDED
|
Binary file (33 kB). View file
|
|
|
nltk_3-8-1/tokenizers/punkt/PY3/slovene.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:52ef2cc0ed27d79b3aa635cbbc40ad811883a75a4b8a8be1ae406972870fd864
|
| 3 |
+
size 734444
|
nltk_3-8-1/tokenizers/punkt/PY3/spanish.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:164a50fadc5a49f8ec7426eae11d3111ee752b48a3ef373d47745011192a5984
|
| 3 |
+
size 562337
|
nltk_3-8-1/tokenizers/punkt/PY3/swedish.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:b0f7d538bfd5266633b09e842cd92e9e0ac10f1d923bf211e1497972ddc47318
|
| 3 |
+
size 979681
|
nltk_3-8-1/tokenizers/punkt/PY3/turkish.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae68ef5863728ac5332e87eb1f6bae772ff32a13a4caa2b01a5c68103e853c5b
|
| 3 |
+
size 1017038
|
nltk_3-8-1/tokenizers/punkt/README
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected)
|
| 2 |
+
|
| 3 |
+
Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have
|
| 4 |
+
been contributed by various people using NLTK for sentence boundary detection.
|
| 5 |
+
|
| 6 |
+
For information about how to use these models, please confer the tokenization HOWTO:
|
| 7 |
+
http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html
|
| 8 |
+
and chapter 3.8 of the NLTK book:
|
| 9 |
+
http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation
|
| 10 |
+
|
| 11 |
+
There are pretrained tokenizers for the following languages:
|
| 12 |
+
|
| 13 |
+
File Language Source Contents Size of training corpus(in tokens) Model contributed by
|
| 14 |
+
=======================================================================================================================================================================
|
| 15 |
+
czech.pickle Czech Multilingual Corpus 1 (ECI) Lidove Noviny ~345,000 Jan Strunk / Tibor Kiss
|
| 16 |
+
Literarni Noviny
|
| 17 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 18 |
+
danish.pickle Danish Avisdata CD-Rom Ver. 1.1. 1995 Berlingske Tidende ~550,000 Jan Strunk / Tibor Kiss
|
| 19 |
+
(Berlingske Avisdata, Copenhagen) Weekend Avisen
|
| 20 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 21 |
+
dutch.pickle Dutch Multilingual Corpus 1 (ECI) De Limburger ~340,000 Jan Strunk / Tibor Kiss
|
| 22 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 23 |
+
english.pickle English Penn Treebank (LDC) Wall Street Journal ~469,000 Jan Strunk / Tibor Kiss
|
| 24 |
+
(American)
|
| 25 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 26 |
+
estonian.pickle Estonian University of Tartu, Estonia Eesti Ekspress ~359,000 Jan Strunk / Tibor Kiss
|
| 27 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 28 |
+
finnish.pickle Finnish Finnish Parole Corpus, Finnish Books and major national ~364,000 Jan Strunk / Tibor Kiss
|
| 29 |
+
Text Bank (Suomen Kielen newspapers
|
| 30 |
+
Tekstipankki)
|
| 31 |
+
Finnish Center for IT Science
|
| 32 |
+
(CSC)
|
| 33 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 34 |
+
french.pickle French Multilingual Corpus 1 (ECI) Le Monde ~370,000 Jan Strunk / Tibor Kiss
|
| 35 |
+
(European)
|
| 36 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 37 |
+
german.pickle German Neue Zürcher Zeitung AG Neue Zürcher Zeitung ~847,000 Jan Strunk / Tibor Kiss
|
| 38 |
+
(Switzerland) CD-ROM
|
| 39 |
+
(Uses "ss"
|
| 40 |
+
instead of "ß")
|
| 41 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 42 |
+
greek.pickle Greek Efstathios Stamatatos To Vima (TO BHMA) ~227,000 Jan Strunk / Tibor Kiss
|
| 43 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 44 |
+
italian.pickle Italian Multilingual Corpus 1 (ECI) La Stampa, Il Mattino ~312,000 Jan Strunk / Tibor Kiss
|
| 45 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 46 |
+
norwegian.pickle Norwegian Centre for Humanities Bergens Tidende ~479,000 Jan Strunk / Tibor Kiss
|
| 47 |
+
(Bokmål and Information Technologies,
|
| 48 |
+
Nynorsk) Bergen
|
| 49 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 50 |
+
polish.pickle Polish Polish National Corpus Literature, newspapers, etc. ~1,000,000 Krzysztof Langner
|
| 51 |
+
(http://www.nkjp.pl/)
|
| 52 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 53 |
+
portuguese.pickle Portuguese CETENFolha Corpus Folha de São Paulo ~321,000 Jan Strunk / Tibor Kiss
|
| 54 |
+
(Brazilian) (Linguateca)
|
| 55 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 56 |
+
slovene.pickle Slovene TRACTOR Delo ~354,000 Jan Strunk / Tibor Kiss
|
| 57 |
+
Slovene Academy for Arts
|
| 58 |
+
and Sciences
|
| 59 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 60 |
+
spanish.pickle Spanish Multilingual Corpus 1 (ECI) Sur ~353,000 Jan Strunk / Tibor Kiss
|
| 61 |
+
(European)
|
| 62 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 63 |
+
swedish.pickle Swedish Multilingual Corpus 1 (ECI) Dagens Nyheter ~339,000 Jan Strunk / Tibor Kiss
|
| 64 |
+
(and some other texts)
|
| 65 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 66 |
+
turkish.pickle Turkish METU Turkish Corpus Milliyet ~333,000 Jan Strunk / Tibor Kiss
|
| 67 |
+
(Türkçe Derlem Projesi)
|
| 68 |
+
University of Ankara
|
| 69 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 70 |
+
|
| 71 |
+
The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to
|
| 72 |
+
Unicode using the codecs module.
|
| 73 |
+
|
| 74 |
+
Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection.
|
| 75 |
+
Computational Linguistics 32: 485-525.
|
| 76 |
+
|
| 77 |
+
---- Training Code ----
|
| 78 |
+
|
| 79 |
+
# import punkt
|
| 80 |
+
import nltk.tokenize.punkt
|
| 81 |
+
|
| 82 |
+
# Make a new Tokenizer
|
| 83 |
+
tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()
|
| 84 |
+
|
| 85 |
+
# Read in training corpus (one example: Slovene)
|
| 86 |
+
import codecs
|
| 87 |
+
text = codecs.open("slovene.plain","Ur","iso-8859-2").read()
|
| 88 |
+
|
| 89 |
+
# Train tokenizer
|
| 90 |
+
tokenizer.train(text)
|
| 91 |
+
|
| 92 |
+
# Dump pickled tokenizer
|
| 93 |
+
import pickle
|
| 94 |
+
out = open("slovene.pickle","wb")
|
| 95 |
+
pickle.dump(tokenizer, out)
|
| 96 |
+
out.close()
|
| 97 |
+
|
| 98 |
+
---------
|
nltk_3-8-1/tokenizers/punkt/czech.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/danish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/dutch.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/english.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/estonian.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/finnish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/french.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/german.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/greek.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/italian.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/malayalam.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f8cf58acbdb7f472ac40affc13663be42dafb47c15030c11ade0444c9e0e53d
|
| 3 |
+
size 221207
|
nltk_3-8-1/tokenizers/punkt/norwegian.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/polish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/portuguese.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/russian.pickle
ADDED
|
Binary file (33 kB). View file
|
|
|
nltk_3-8-1/tokenizers/punkt/slovene.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/spanish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/swedish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt/turkish.pickle
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nltk_3-8-1/tokenizers/punkt_tab.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e57f64187974277726a3417ca6f181ec5403676c717672eef6a748a7b20e0106
|
| 3 |
+
size 4319076
|
nltk_3-8-1/tokenizers/punkt_tab/README
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected)
|
| 2 |
+
|
| 3 |
+
Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have
|
| 4 |
+
been contributed by various people using NLTK for sentence boundary detection.
|
| 5 |
+
|
| 6 |
+
For information about how to use these models, please confer the tokenization HOWTO:
|
| 7 |
+
http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html
|
| 8 |
+
and chapter 3.8 of the NLTK book:
|
| 9 |
+
http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation
|
| 10 |
+
|
| 11 |
+
There are pretrained tokenizers for the following languages:
|
| 12 |
+
|
| 13 |
+
File Language Source Contents Size of training corpus(in tokens) Model contributed by
|
| 14 |
+
=======================================================================================================================================================================
|
| 15 |
+
czech.pickle Czech Multilingual Corpus 1 (ECI) Lidove Noviny ~345,000 Jan Strunk / Tibor Kiss
|
| 16 |
+
Literarni Noviny
|
| 17 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 18 |
+
danish.pickle Danish Avisdata CD-Rom Ver. 1.1. 1995 Berlingske Tidende ~550,000 Jan Strunk / Tibor Kiss
|
| 19 |
+
(Berlingske Avisdata, Copenhagen) Weekend Avisen
|
| 20 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 21 |
+
dutch.pickle Dutch Multilingual Corpus 1 (ECI) De Limburger ~340,000 Jan Strunk / Tibor Kiss
|
| 22 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 23 |
+
english.pickle English Penn Treebank (LDC) Wall Street Journal ~469,000 Jan Strunk / Tibor Kiss
|
| 24 |
+
(American)
|
| 25 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 26 |
+
estonian.pickle Estonian University of Tartu, Estonia Eesti Ekspress ~359,000 Jan Strunk / Tibor Kiss
|
| 27 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 28 |
+
finnish.pickle Finnish Finnish Parole Corpus, Finnish Books and major national ~364,000 Jan Strunk / Tibor Kiss
|
| 29 |
+
Text Bank (Suomen Kielen newspapers
|
| 30 |
+
Tekstipankki)
|
| 31 |
+
Finnish Center for IT Science
|
| 32 |
+
(CSC)
|
| 33 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 34 |
+
french.pickle French Multilingual Corpus 1 (ECI) Le Monde ~370,000 Jan Strunk / Tibor Kiss
|
| 35 |
+
(European)
|
| 36 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 37 |
+
german.pickle German Neue Zürcher Zeitung AG Neue Zürcher Zeitung ~847,000 Jan Strunk / Tibor Kiss
|
| 38 |
+
(Switzerland) CD-ROM
|
| 39 |
+
(Uses "ss"
|
| 40 |
+
instead of "ß")
|
| 41 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 42 |
+
greek.pickle Greek Efstathios Stamatatos To Vima (TO BHMA) ~227,000 Jan Strunk / Tibor Kiss
|
| 43 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 44 |
+
italian.pickle Italian Multilingual Corpus 1 (ECI) La Stampa, Il Mattino ~312,000 Jan Strunk / Tibor Kiss
|
| 45 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 46 |
+
norwegian.pickle Norwegian Centre for Humanities Bergens Tidende ~479,000 Jan Strunk / Tibor Kiss
|
| 47 |
+
(Bokmål and Information Technologies,
|
| 48 |
+
Nynorsk) Bergen
|
| 49 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 50 |
+
polish.pickle Polish Polish National Corpus Literature, newspapers, etc. ~1,000,000 Krzysztof Langner
|
| 51 |
+
(http://www.nkjp.pl/)
|
| 52 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 53 |
+
portuguese.pickle Portuguese CETENFolha Corpus Folha de São Paulo ~321,000 Jan Strunk / Tibor Kiss
|
| 54 |
+
(Brazilian) (Linguateca)
|
| 55 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 56 |
+
slovene.pickle Slovene TRACTOR Delo ~354,000 Jan Strunk / Tibor Kiss
|
| 57 |
+
Slovene Academy for Arts
|
| 58 |
+
and Sciences
|
| 59 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 60 |
+
spanish.pickle Spanish Multilingual Corpus 1 (ECI) Sur ~353,000 Jan Strunk / Tibor Kiss
|
| 61 |
+
(European)
|
| 62 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 63 |
+
swedish.pickle Swedish Multilingual Corpus 1 (ECI) Dagens Nyheter ~339,000 Jan Strunk / Tibor Kiss
|
| 64 |
+
(and some other texts)
|
| 65 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 66 |
+
turkish.pickle Turkish METU Turkish Corpus Milliyet ~333,000 Jan Strunk / Tibor Kiss
|
| 67 |
+
(Türkçe Derlem Projesi)
|
| 68 |
+
University of Ankara
|
| 69 |
+
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| 70 |
+
|
| 71 |
+
The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to
|
| 72 |
+
Unicode using the codecs module.
|
| 73 |
+
|
| 74 |
+
Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection.
|
| 75 |
+
Computational Linguistics 32: 485-525.
|
| 76 |
+
|
| 77 |
+
---- Training Code ----
|
| 78 |
+
|
| 79 |
+
# import punkt
|
| 80 |
+
import nltk.tokenize.punkt
|
| 81 |
+
|
| 82 |
+
# Make a new Tokenizer
|
| 83 |
+
tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()
|
| 84 |
+
|
| 85 |
+
# Read in training corpus (one example: Slovene)
|
| 86 |
+
import codecs
|
| 87 |
+
text = codecs.open("slovene.plain","Ur","iso-8859-2").read()
|
| 88 |
+
|
| 89 |
+
# Train tokenizer
|
| 90 |
+
tokenizer.train(text)
|
| 91 |
+
|
| 92 |
+
# Dump pickled tokenizer
|
| 93 |
+
import pickle
|
| 94 |
+
out = open("slovene.pickle","wb")
|
| 95 |
+
pickle.dump(tokenizer, out)
|
| 96 |
+
out.close()
|
| 97 |
+
|
| 98 |
+
---------
|
nltk_3-8-1/tokenizers/punkt_tab/czech/abbrev_types.txt
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
t
|
| 2 |
+
množ
|
| 3 |
+
např
|
| 4 |
+
j.h
|
| 5 |
+
man
|
| 6 |
+
ú
|
| 7 |
+
jug
|
| 8 |
+
dr
|
| 9 |
+
bl
|
| 10 |
+
ml
|
| 11 |
+
okr
|
| 12 |
+
st
|
| 13 |
+
uh
|
| 14 |
+
šp
|
| 15 |
+
judr
|
| 16 |
+
u.s.a
|
| 17 |
+
p
|
| 18 |
+
arg
|
| 19 |
+
žitě
|
| 20 |
+
st.celsia
|
| 21 |
+
etc
|
| 22 |
+
p.s
|
| 23 |
+
t.r
|
| 24 |
+
lok
|
| 25 |
+
mil
|
| 26 |
+
ict
|
| 27 |
+
n
|
| 28 |
+
tl
|
| 29 |
+
min
|
| 30 |
+
č
|
| 31 |
+
d
|
| 32 |
+
al
|
| 33 |
+
ravenně
|
| 34 |
+
mj
|
| 35 |
+
nar
|
| 36 |
+
plk
|
| 37 |
+
s.p
|
| 38 |
+
a.g
|
| 39 |
+
roč
|
| 40 |
+
b
|
| 41 |
+
zdi
|
| 42 |
+
r.s.c
|
| 43 |
+
přek
|
| 44 |
+
m
|
| 45 |
+
gen
|
| 46 |
+
csc
|
| 47 |
+
mudr
|
| 48 |
+
vic
|
| 49 |
+
š
|
| 50 |
+
sb
|
| 51 |
+
resp
|
| 52 |
+
tzn
|
| 53 |
+
iv
|
| 54 |
+
s.r.o
|
| 55 |
+
mar
|
| 56 |
+
w
|
| 57 |
+
čs
|
| 58 |
+
vi
|
| 59 |
+
tzv
|
| 60 |
+
ul
|
| 61 |
+
pen
|
| 62 |
+
zv
|
| 63 |
+
str
|
| 64 |
+
čp
|
| 65 |
+
org
|
| 66 |
+
rak
|
| 67 |
+
sv
|
| 68 |
+
pplk
|
| 69 |
+
u.s
|
| 70 |
+
prof
|
| 71 |
+
c.k
|
| 72 |
+
op
|
| 73 |
+
g
|
| 74 |
+
vii
|
| 75 |
+
kr
|
| 76 |
+
ing
|
| 77 |
+
j.o
|
| 78 |
+
drsc
|
| 79 |
+
m3
|
| 80 |
+
l
|
| 81 |
+
tr
|
| 82 |
+
ceo
|
| 83 |
+
ch
|
| 84 |
+
fuk
|
| 85 |
+
vl
|
| 86 |
+
viii
|
| 87 |
+
líp
|
| 88 |
+
hl.m
|
| 89 |
+
t.zv
|
| 90 |
+
phdr
|
| 91 |
+
o.k
|
| 92 |
+
tis
|
| 93 |
+
doc
|
| 94 |
+
kl
|
| 95 |
+
ard
|
| 96 |
+
čkd
|
| 97 |
+
pok
|
| 98 |
+
apod
|
| 99 |
+
r
|
| 100 |
+
př
|
| 101 |
+
a.s
|
| 102 |
+
j
|
| 103 |
+
jr
|
| 104 |
+
i.m
|
| 105 |
+
e
|
| 106 |
+
kupř
|
| 107 |
+
f
|
| 108 |
+
tř
|
| 109 |
+
xvi
|
| 110 |
+
mir
|
| 111 |
+
atď
|
| 112 |
+
vr
|
| 113 |
+
r.i.v
|
| 114 |
+
hl
|
| 115 |
+
kv
|
| 116 |
+
t.j
|
| 117 |
+
y
|
| 118 |
+
q.p.r
|
nltk_3-8-1/tokenizers/punkt_tab/czech/collocations.tab
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
i dejmala
|
| 2 |
+
##number## prosince
|
| 3 |
+
h steina
|
| 4 |
+
##number## listopadu
|
| 5 |
+
a dvořák
|
| 6 |
+
v klaus
|
| 7 |
+
i čnhl
|
| 8 |
+
##number## wladyslawowo
|
| 9 |
+
##number## letech
|
| 10 |
+
a jiráska
|
| 11 |
+
a dubček
|
| 12 |
+
##number## štrasburk
|
| 13 |
+
##number## juniorské
|
| 14 |
+
##number## století
|
| 15 |
+
##number## kola
|
| 16 |
+
##number## pád
|
| 17 |
+
##number## května
|
| 18 |
+
##number## týdne
|
| 19 |
+
v dlouhý
|
| 20 |
+
k design
|
| 21 |
+
##number## červenec
|
| 22 |
+
i ligy
|
| 23 |
+
##number## kolo
|
| 24 |
+
z svěrák
|
| 25 |
+
##number## mája
|
| 26 |
+
##number## šimková
|
| 27 |
+
a bělého
|
| 28 |
+
a bradáč
|
| 29 |
+
##number## ročníku
|
| 30 |
+
##number## dubna
|
| 31 |
+
a vivaldiho
|
| 32 |
+
v mečiara
|
| 33 |
+
c carrićre
|
| 34 |
+
##number## sjezd
|
| 35 |
+
##number## výroční
|
| 36 |
+
##number## kole
|
| 37 |
+
##number## narozenin
|
| 38 |
+
k maleevová
|
| 39 |
+
i čnfl
|
| 40 |
+
##number## pádě
|
| 41 |
+
##number## září
|
| 42 |
+
##number## výročí
|
| 43 |
+
a dvořáka
|
| 44 |
+
h g.
|
| 45 |
+
##number## ledna
|
| 46 |
+
a dvorský
|
| 47 |
+
h měsíc
|
| 48 |
+
##number## srpna
|
| 49 |
+
##number## tř.
|
| 50 |
+
a mozarta
|
| 51 |
+
##number## sudetoněmeckých
|
| 52 |
+
o sokolov
|
| 53 |
+
k škrach
|
| 54 |
+
v benda
|
| 55 |
+
##number## symfonie
|
| 56 |
+
##number## července
|
| 57 |
+
x šalda
|
| 58 |
+
c abrahama
|
| 59 |
+
a tichý
|
| 60 |
+
##number## místo
|
| 61 |
+
k bielecki
|
| 62 |
+
v havel
|
| 63 |
+
##number## etapu
|
| 64 |
+
a dubčeka
|
| 65 |
+
i liga
|
| 66 |
+
##number## světový
|
| 67 |
+
v klausem
|
| 68 |
+
##number## ženy
|
| 69 |
+
##number## létech
|
| 70 |
+
##number## minutě
|
| 71 |
+
##number## listopadem
|
| 72 |
+
##number## místě
|
| 73 |
+
o vlček
|
| 74 |
+
k peteraje
|
| 75 |
+
i sponzor
|
| 76 |
+
##number## června
|
| 77 |
+
##number## min.
|
| 78 |
+
##number## oprávněnou
|
| 79 |
+
##number## květnu
|
| 80 |
+
##number## aktu
|
| 81 |
+
##number## květnem
|
| 82 |
+
##number## října
|
| 83 |
+
i rynda
|
| 84 |
+
##number## února
|
| 85 |
+
i snfl
|
| 86 |
+
a mozart
|
| 87 |
+
z košler
|
| 88 |
+
a dvorskému
|
| 89 |
+
v marhoul
|
| 90 |
+
v mečiar
|
| 91 |
+
##number## ročník
|
| 92 |
+
##number## máje
|
| 93 |
+
v havla
|
| 94 |
+
k gott
|
| 95 |
+
s bacha
|
| 96 |
+
##number## ad
|
nltk_3-8-1/tokenizers/punkt_tab/czech/ortho_context.tab
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|