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Delete tokenizers

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  1. tokenizers/punkt.zip +0 -3
  2. tokenizers/punkt/.DS_Store +0 -0
  3. tokenizers/punkt/PY3/README +0 -98
  4. tokenizers/punkt/PY3/czech.pickle +0 -3
  5. tokenizers/punkt/PY3/danish.pickle +0 -3
  6. tokenizers/punkt/PY3/dutch.pickle +0 -3
  7. tokenizers/punkt/PY3/english.pickle +0 -3
  8. tokenizers/punkt/PY3/estonian.pickle +0 -3
  9. tokenizers/punkt/PY3/finnish.pickle +0 -3
  10. tokenizers/punkt/PY3/french.pickle +0 -3
  11. tokenizers/punkt/PY3/german.pickle +0 -3
  12. tokenizers/punkt/PY3/greek.pickle +0 -3
  13. tokenizers/punkt/PY3/italian.pickle +0 -3
  14. tokenizers/punkt/PY3/malayalam.pickle +0 -3
  15. tokenizers/punkt/PY3/norwegian.pickle +0 -3
  16. tokenizers/punkt/PY3/polish.pickle +0 -3
  17. tokenizers/punkt/PY3/portuguese.pickle +0 -3
  18. tokenizers/punkt/PY3/russian.pickle +0 -3
  19. tokenizers/punkt/PY3/slovene.pickle +0 -3
  20. tokenizers/punkt/PY3/spanish.pickle +0 -3
  21. tokenizers/punkt/PY3/swedish.pickle +0 -3
  22. tokenizers/punkt/PY3/turkish.pickle +0 -3
  23. tokenizers/punkt/README +0 -98
  24. tokenizers/punkt/czech.pickle +0 -3
  25. tokenizers/punkt/danish.pickle +0 -3
  26. tokenizers/punkt/dutch.pickle +0 -3
  27. tokenizers/punkt/english.pickle +0 -3
  28. tokenizers/punkt/estonian.pickle +0 -3
  29. tokenizers/punkt/finnish.pickle +0 -3
  30. tokenizers/punkt/french.pickle +0 -3
  31. tokenizers/punkt/german.pickle +0 -3
  32. tokenizers/punkt/greek.pickle +0 -3
  33. tokenizers/punkt/italian.pickle +0 -3
  34. tokenizers/punkt/malayalam.pickle +0 -3
  35. tokenizers/punkt/norwegian.pickle +0 -3
  36. tokenizers/punkt/polish.pickle +0 -3
  37. tokenizers/punkt/portuguese.pickle +0 -3
  38. tokenizers/punkt/russian.pickle +0 -3
  39. tokenizers/punkt/slovene.pickle +0 -3
  40. tokenizers/punkt/spanish.pickle +0 -3
  41. tokenizers/punkt/swedish.pickle +0 -3
  42. tokenizers/punkt/turkish.pickle +0 -3
  43. tokenizers/punkt_tab.zip +0 -3
  44. tokenizers/punkt_tab/README +0 -98
  45. tokenizers/punkt_tab/czech/abbrev_types.txt +0 -118
  46. tokenizers/punkt_tab/czech/collocations.tab +0 -96
  47. tokenizers/punkt_tab/czech/ortho_context.tab +0 -0
  48. tokenizers/punkt_tab/czech/sent_starters.txt +0 -54
  49. tokenizers/punkt_tab/danish/abbrev_types.txt +0 -211
  50. tokenizers/punkt_tab/danish/collocations.tab +0 -101
tokenizers/punkt.zip DELETED
@@ -1,3 +0,0 @@
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tokenizers/punkt/.DS_Store DELETED
Binary file (6.15 kB)
 
tokenizers/punkt/PY3/README DELETED
@@ -1,98 +0,0 @@
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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tokenizers/punkt/README DELETED
@@ -1,98 +0,0 @@
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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tokenizers/punkt_tab/README DELETED
@@ -1,98 +0,0 @@
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
- ---------
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
tokenizers/punkt_tab/czech/abbrev_types.txt DELETED
@@ -1,118 +0,0 @@
1
- t
2
- množ
3
- např
4
- j.h
5
- man
6
- ú
7
- jug
8
- dr
9
- bl
10
- ml
11
- okr
12
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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
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78
- drsc
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- m3
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- l
81
- tr
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- ceo
83
- ch
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- fuk
85
- vl
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- viii
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- 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
tokenizers/punkt_tab/czech/collocations.tab DELETED
@@ -1,96 +0,0 @@
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
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10
- a jiráska
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- 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
tokenizers/punkt_tab/czech/ortho_context.tab DELETED
The diff for this file is too large to render. See raw diff
 
tokenizers/punkt_tab/czech/sent_starters.txt DELETED
@@ -1,54 +0,0 @@
1
- já
2
- milena
3
- tomáš
4
- oznámila
5
- podle
6
- my
7
- vyplývá
8
- hlavní
9
- jelikož
10
- musíme
11
- kdyby
12
- foto
13
- rozptylové
14
- snad
15
- zároveň
16
- jaroslav
17
- po
18
- v
19
- kromě
20
- pokud
21
- toto
22
- jenže
23
- oba
24
- jak
25
- zatímco
26
- ten
27
- myslím
28
- navíc
29
- dušan
30
- zdá
31
- dnes
32
- přesto
33
- tato
34
- ti
35
- bratislava
36
- ale
37
- když
38
- nicméně
39
- tento
40
- mirka
41
- přitom
42
- dokud
43
- jan
44
- bohužel
45
- ta
46
- díky
47
- prohlásil
48
- praha
49
- jestliže
50
- jde
51
- vždyť
52
- moskva
53
- proto
54
- to
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
tokenizers/punkt_tab/danish/abbrev_types.txt DELETED
@@ -1,211 +0,0 @@
1
- t
2
- tlf
3
- b.p
4
- evt
5
- j.h
6
- lenz
7
- mht
8
- gl
9
- bl
10
- stud.polit
11
- e.j
12
- st
13
- o
14
- dec
15
- mag
16
- h.b
17
- p
18
- adm
19
- el.lign
20
- e.s
21
- saalba
22
- styrt
23
- nr
24
- m.a.s.h
25
- etc
26
- pharm
27
- hg
28
- j.j
29
- dj
30
- mountainb
31
- f.kr
32
- h.r
33
- cand.jur
34
- sp
35
- osv
36
- s.g
37
- ndr
38
- inc
39
- b.i.g
40
- dk-sver
41
- sl
42
- v.s.o.d
43
- cand.mag
44
- d.v.s
45
- v.i
46
- bøddel
47
- fr
48
- ø«
49
- dr.phil
50
- chr
51
- p.d
52
- bj
53
- fhv
54
- tilskudsforhold
55
- m.a
56
- sek
57
- p.g.a
58
- int
59
- pokalf
60
- ik
61
- dir
62
- em-lodtrækn
63
- a.h
64
- o.lign
65
- p.t
66
- m.v
67
- n.j
68
- m.h.t
69
- m.m
70
- a.p
71
- pers
72
- 4-bakketurn
73
- dr.med
74
- w.ø
75
- polit
76
- fremsættes
77
- techn
78
- tidl
79
- o.g
80
- i.c.i
81
- mill
82
- skt
83
- m.fl
84
- cand.merc
85
- kbh
86
- indiv
87
- stk
88
- dk-maked
89
- memorandum
90
- mestersk
91
- mag.art
92
- kitzb
93
- h
94
- lic
95
- fig
96
- dressurst
97
- sportsg
98
- r.e.m
99
- d.u.m
100
- sct
101
- kld
102
- bl.a
103
- hf
104
- g.a
105
- corp
106
- w
107
- konk
108
- zoeterm
109
- b.t
110
- a.d
111
- l.b
112
- jf
113
- s.b
114
- kgl
115
- ill
116
- beck
117
- tosset
118
- afd
119
- johs
120
- pct
121
- k.b
122
- sv
123
- verbalt
124
- kgs
125
- l.m.k
126
- j.l
127
- aus
128
- superl
129
- t.v
130
- mia
131
- kr
132
- pr
133
- præmien
134
- j.b.s
135
- j.o
136
- o.s.v
137
- edb-oplysninger
138
- o.m.a
139
- ca
140
- 1b
141
- f.eks
142
- rens
143
- ch
144
- mr
145
- schw
146
- d.c
147
- utraditionelt
148
- idrætsgym
149
- hhv
150
- e.l
151
- s.s
152
- eks
153
- f.o.m
154
- dk-storbrit
155
- dk-jugo
156
- n.z
157
- derivater
158
- c
159
- pt
160
- vm-kval
161
- kl
162
- hr
163
- cand
164
- jur
165
- sav
166
- h.c
167
- arab.-danm
168
- d.a.d
169
- fl
170
- o.a
171
- a.s
172
- cand.polit
173
- grundejerform
174
- j
175
- faglærte
176
- cr
177
- a.a
178
- mou
179
- f.r.i
180
- årh
181
- o.m.m
182
- sve
183
- c.a
184
- engl
185
- sikkerhedssystemerne
186
- m.f
187
- j.k
188
- phil
189
- f
190
- vet
191
- mio
192
- k.e
193
- m.k
194
- atla
195
- idrætsg
196
- n.n
197
- 4-bakketur
198
- dvs
199
- sdr
200
- s.j
201
- hol
202
- s.h
203
- pei
204
- kbhvn
205
- aa
206
- m.g.i
207
- fvt
208
- i«
209
- b.c
210
- th
211
- lrs
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
tokenizers/punkt_tab/danish/collocations.tab DELETED
@@ -1,101 +0,0 @@
1
- ##number## skak
2
- ##number## speedway
3
- ##number## rally
4
- ##number## april
5
- ##number## dm-fin
6
- ##number## viceformand
7
- m jensen
8
- ##number## kano/kajak
9
- ##number## bowling
10
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11
- ##number## årh.
12
- ##number## januar
13
- ##number## august
14
- ##number## marathon
15
- ##number## kamp
16
- ##number## skihop
17
- ##number## etage
18
- ##number## tennis
19
- ##number## cykling
20
- e andersen
21
- ##number## december
22
- g h.
23
- ##number## neb
24
- ##number## sektion
25
- ##number## afd.
26
- ##number## klasse
27
- ##number## trampolin
28
- ##number## bordtennis
29
- ##number## formel
30
- ##number## århundredes
31
- ##number## dm-semifin
32
- ##number## heks
33
- ##number## taekwondo
34
- ##number## galop
35
- ##number## basketball
36
- ##number## dm
37
- m skræl
38
- ##number## trav
39
- ##number## provins
40
- ##number## triathlon
41
- k axel
42
- ##number## rugby
43
- s h.
44
- ##number## klaverkoncert
45
- a p.
46
- e løgstrup
47
- k telefax
48
- ##number## gyldendal
49
- ##number## fodbold
50
- e rosenfeldt
51
- ##number## oktober
52
- k o.
53
- ##number## september
54
- ##number## dec.
55
- ##number## juledag
56
- ##number## badminton
57
- ##number## sejlsport
58
- ##number## håndbold
59
- r førsund
60
- e jørgensen
61
- d ##number##
62
- k e
63
- ##number## alp.ski
64
- ##number## judo
65
- ##number## roning
66
- ##number## november
67
- ##number## atletik
68
- ##number## århundrede
69
- ##number## ridning
70
- ##number## marts
71
- m andersen
72
- d roosevelt
73
- ##number## brydning
74
- s kr.
75
- ##number## runde
76
- ##number## division
77
- ##number## sal
78
- ##number## boksning
79
- ##number## minut
80
- ##number## golf
81
- ##number## juni
82
- ##number## symfoni
83
- ##number## hurtigløb
84
- k jørgensen
85
- ##number## jörgen
86
- ##number## klasses
87
- e jacobsen
88
- k jensen
89
- ##number## februar
90
- k nielsen
91
- ##number## volleyball
92
- ##number## maj
93
- ##number## verdenskrig
94
- ##number## juli
95
- ##number## ishockey
96
- ##number## kunstskøjteløb
97
- b jørgensen
98
- ##number## gymnastik
99
- ##number## svømning
100
- ##number## tw
101
- i pedersens