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Author SHA1 Message Date
Matthew Honnibal
b439e04f8d Learning smoothly 2017-05-06 20:38:12 +02:00
Matthew Honnibal
08bee76790 Learns things 2017-05-06 18:24:38 +02:00
Matthew Honnibal
04ae1c01f1 Learns things 2017-05-06 18:21:02 +02:00
Matthew Honnibal
bcf4cd0a5f Learns things 2017-05-06 17:37:36 +02:00
Matthew Honnibal
8e48b58cd6 Gradients look correct 2017-05-06 16:47:15 +02:00
Matthew Honnibal
7e04260d38 Data running through, likely errors in model 2017-05-06 14:22:20 +02:00
Matthew Honnibal
fa7c1990b6 Restore tok2vec function 2017-05-05 20:12:03 +02:00
Matthew Honnibal
efe9630e1c Bug fixes 2017-05-05 20:09:50 +02:00
Matthew Honnibal
ef4fa594aa Draft of NN parser, to be tested 2017-05-05 19:20:39 +02:00
Matthew Honnibal
7d1df50aec Draft up Parser model 2017-05-04 13:31:40 +02:00
Matthew Honnibal
ccaf26206b Pseudocode for parser 2017-05-04 12:17:59 +02:00
ines
a793174ae9 Use setuptools.find_packages() 2017-05-03 20:11:02 +02:00
ines
fac3566aac Add descriptions to POS tagging scheme 2017-05-03 20:11:02 +02:00
ines
1570b83ee5 Add spacy.explain() note to NER annotation scheme 2017-05-03 20:11:02 +02:00
ines
219369bb7d Add detailed docs for dependency label annotations 2017-05-03 20:11:02 +02:00
ines
0de98472b3 Increment CSS version 2017-05-03 20:11:02 +02:00
ines
7631d08d67 Adjust saturation of light theme color 2017-05-03 20:11:02 +02:00
ines
06e414b3fc Don't wrap inline code 2017-05-03 20:11:02 +02:00
ines
41c6085a6c Add pos-row and dep-row mixins to global mixins 2017-05-03 20:11:02 +02:00
ines
b1f22c5a10 Fix formatting 2017-05-03 20:11:02 +02:00
Matthew Honnibal
26ac77517f Merge pull request #1039 from akYoung/akYoung-patch-1-1 
Corretions for model test example
 2017-05-03 18:47:54 +02:00
ines
a04b5be1b2 Add glossary for annotation scheme (closes #1034) 
Can be imported as explain from spacy.glossary, or called as
spacy.explain(term)
 2017-05-03 17:02:17 +02:00
akYoung
c158cdb1da Corretions for model test example 
The sentences of test data in sentence entailment example should be generated with integers limited to vocab_size.
 2017-05-03 22:41:23 +08:00
Gregory Howard
929f2792a7 Rennaming cls in module. cls is now a class 2017-05-03 15:41:07 +02:00
Gregory Howard
0e8c41ea4f Adding method lemmatizer for every class 2017-05-03 12:14:42 +02:00
Gregory Howard
32ca07989e adding export japanese 2017-05-03 11:07:29 +02:00
Grégory Howard
2e10bc6d8c Merge branch 'master' into master 2017-05-03 11:05:30 +02:00
Grégory Howard
f9d7144224 Merge branch 'master' into master 2017-05-03 11:04:51 +02:00
Gregory Howard
f2ab7d77b4 Lazy imports language 2017-05-03 11:01:42 +02:00
Ines Montani
6e1fad92a1 Update CONTRIBUTORS.md 2017-05-03 10:01:40 +02:00
ines
e2380d8789 Update README.rst 2017-05-03 10:00:04 +02:00
ines
f9384b0fbd Update alpha languages and add aside for tokenizer dependencies 2017-05-03 09:58:31 +02:00
Ines Montani
f0d7a87e18 Merge pull request #1035 from uetchy/japanese-support 
Japanese support
 2017-05-03 09:44:54 +02:00
Ines Montani
3ea23a3f4d Fix formatting 2017-05-03 09:44:38 +02:00
Ines Montani
d730eb0c0d Raise custom ImportError if importing janome fails 2017-05-03 09:43:29 +02:00
Ines Montani
949ad6594b Add newline 2017-05-03 09:38:43 +02:00
Ines Montani
d12ca587ea Add newline 2017-05-03 09:38:29 +02:00
Ines Montani
8676cd0135 Add newline 2017-05-03 09:38:07 +02:00
Yasuaki Uechi
0e7a9b9fac Add Japanese to 'Alpha support’ section 2017-05-03 13:56:45 +09:00
Yasuaki Uechi
c8f83aeb87 Add basic japanese support 2017-05-03 13:56:21 +09:00
Gregory Howard
c0afcd22bb Merge remote-tracking branch 'remotes/upstream/master' 2017-04-27 14:42:54 +02:00
Ines Montani
f26a3b5a50 Merge pull request #1025 from Ferdous-Al-Imran/master 2017-04-27 14:36:37 +02:00
Ines Montani
fb96f88b59 Update info on CoNLL format and include link 2017-04-27 14:36:08 +02:00
Matthew Honnibal
31ec9e1371 Merge branch 'master' of https://github.com/explosion/spaCy 2017-04-27 13:21:39 +02:00
Matthew Honnibal
2da16adcc2 Add dropout optin for parser and NER 
Dropout can now be specified in the `Parser.update()` method via
the `drop` keyword argument, e.g.

    nlp.entity.update(doc, gold, drop=0.4)

This will randomly drop 40% of features, and multiply the value of the
others by 1. / 0.4. This may be useful for generalising from small data
sets.

This commit also patches the examples/training/train_new_entity_type.py
example, to use dropout and fix the output (previously it did not output
the learned entity).
 2017-04-27 13:18:39 +02:00
M. Z. Ferdous (Imran)
c9f9203d5f fix typo, CONLL format 
tried to google about connlu format. Saw there is conll format, not connlu.
 2017-04-27 16:48:54 +06:00
ines
5aa49971f9 Add French example to models docs 2017-04-27 12:08:47 +02:00
Gregory Howard
92f368f83b Removing extra spaces 2017-04-27 12:02:14 +02:00
Gregory Howard
13b6957c8e Adding unitest for tokenization in french (with title) 2017-04-27 11:53:44 +02:00
Gregory Howard
8ff4682255 correcting tokenizer exception. 
Adding tests for lemmatization
 2017-04-27 11:52:14 +02:00