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  1. .gitattributes +24 -0
  2. nltk_3-8-1/corpora/wordnet.zip +3 -0
  3. nltk_3-8-1/taggers/averaged_perceptron_tagger.zip +3 -0
  4. nltk_3-8-1/taggers/averaged_perceptron_tagger/averaged_perceptron_tagger.pickle +3 -0
  5. nltk_3-8-1/tokenizers/punkt.zip +3 -0
  6. nltk_3-8-1/tokenizers/punkt/PY3/README +98 -0
  7. nltk_3-8-1/tokenizers/punkt/PY3/czech.pickle +3 -0
  8. nltk_3-8-1/tokenizers/punkt/PY3/danish.pickle +3 -0
  9. nltk_3-8-1/tokenizers/punkt/PY3/dutch.pickle +3 -0
  10. nltk_3-8-1/tokenizers/punkt/PY3/english.pickle +3 -0
  11. nltk_3-8-1/tokenizers/punkt/PY3/estonian.pickle +3 -0
  12. nltk_3-8-1/tokenizers/punkt/PY3/finnish.pickle +3 -0
  13. nltk_3-8-1/tokenizers/punkt/PY3/french.pickle +3 -0
  14. nltk_3-8-1/tokenizers/punkt/PY3/german.pickle +3 -0
  15. nltk_3-8-1/tokenizers/punkt/PY3/greek.pickle +3 -0
  16. nltk_3-8-1/tokenizers/punkt/PY3/italian.pickle +3 -0
  17. nltk_3-8-1/tokenizers/punkt/PY3/malayalam.pickle +3 -0
  18. nltk_3-8-1/tokenizers/punkt/PY3/norwegian.pickle +3 -0
  19. nltk_3-8-1/tokenizers/punkt/PY3/polish.pickle +3 -0
  20. nltk_3-8-1/tokenizers/punkt/PY3/portuguese.pickle +3 -0
  21. nltk_3-8-1/tokenizers/punkt/PY3/russian.pickle +0 -0
  22. nltk_3-8-1/tokenizers/punkt/PY3/slovene.pickle +3 -0
  23. nltk_3-8-1/tokenizers/punkt/PY3/spanish.pickle +3 -0
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  25. nltk_3-8-1/tokenizers/punkt/PY3/turkish.pickle +3 -0
  26. nltk_3-8-1/tokenizers/punkt/README +98 -0
  27. nltk_3-8-1/tokenizers/punkt/czech.pickle +0 -0
  28. nltk_3-8-1/tokenizers/punkt/danish.pickle +0 -0
  29. nltk_3-8-1/tokenizers/punkt/dutch.pickle +0 -0
  30. nltk_3-8-1/tokenizers/punkt/english.pickle +0 -0
  31. nltk_3-8-1/tokenizers/punkt/estonian.pickle +0 -0
  32. nltk_3-8-1/tokenizers/punkt/finnish.pickle +0 -0
  33. nltk_3-8-1/tokenizers/punkt/french.pickle +0 -0
  34. nltk_3-8-1/tokenizers/punkt/german.pickle +0 -0
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  36. nltk_3-8-1/tokenizers/punkt/italian.pickle +0 -0
  37. nltk_3-8-1/tokenizers/punkt/malayalam.pickle +3 -0
  38. nltk_3-8-1/tokenizers/punkt/norwegian.pickle +0 -0
  39. nltk_3-8-1/tokenizers/punkt/polish.pickle +0 -0
  40. nltk_3-8-1/tokenizers/punkt/portuguese.pickle +0 -0
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  42. nltk_3-8-1/tokenizers/punkt/slovene.pickle +0 -0
  43. nltk_3-8-1/tokenizers/punkt/spanish.pickle +0 -0
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  45. nltk_3-8-1/tokenizers/punkt/turkish.pickle +0 -0
  46. nltk_3-8-1/tokenizers/punkt_tab.zip +3 -0
  47. nltk_3-8-1/tokenizers/punkt_tab/README +98 -0
  48. nltk_3-8-1/tokenizers/punkt_tab/czech/abbrev_types.txt +118 -0
  49. nltk_3-8-1/tokenizers/punkt_tab/czech/collocations.tab +96 -0
  50. nltk_3-8-1/tokenizers/punkt_tab/czech/ortho_context.tab +0 -0
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+ nltk_3-8-1/tokenizers/punkt/PY3/turkish.pickle filter=lfs diff=lfs merge=lfs -text
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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
+ ---------
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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
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nltk_3-8-1/tokenizers/punkt/danish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/finnish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/french.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/german.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/greek.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/italian.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/malayalam.pickle ADDED
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1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1f8cf58acbdb7f472ac40affc13663be42dafb47c15030c11ade0444c9e0e53d
3
+ size 221207
nltk_3-8-1/tokenizers/punkt/norwegian.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/polish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/portuguese.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/russian.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/slovene.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/spanish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/swedish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt/turkish.pickle ADDED
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nltk_3-8-1/tokenizers/punkt_tab.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e57f64187974277726a3417ca6f181ec5403676c717672eef6a748a7b20e0106
3
+ size 4319076
nltk_3-8-1/tokenizers/punkt_tab/README ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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