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Author SHA1 Message Date
Matthew Honnibal
b44f7e259c Clean up unused parser code 2017-05-08 15:42:04 +02:00
Matthew Honnibal
17efb1c001 Change width 2017-05-08 08:40:13 -05:00
Matthew Honnibal
5dffb85184 Don't use gpu 2017-05-08 08:39:59 -05:00
Matthew Honnibal
bef89ef23d Mergery 2017-05-08 08:29:36 -05:00
Matthew Honnibal
245372973d Don't use tagger to predict tags 2017-05-08 07:55:34 -05:00
Matthew Honnibal
50ddc9fc45 Fix infinite loop bug 2017-05-08 07:54:26 -05:00
Matthew Honnibal
94e86ae00a Predict tags with encoder 2017-05-08 07:53:45 -05:00
Matthew Honnibal
56073a11ef Don't use tags when calculating token vectors 2017-05-08 07:52:24 -05:00
Matthew Honnibal
7a33f1e2b7 Add dep to supertag. 2017-05-08 07:50:01 -05:00
Matthew Honnibal
66252f3e71 Change vector width 2017-05-08 14:47:11 +02:00
Matthew Honnibal
a66a4a4d0f Replace einsums 2017-05-08 14:46:50 +02:00
Matthew Honnibal
8d2eab74da Use PretrainableMaxouts 2017-05-08 14:24:55 +02:00
Matthew Honnibal
807cb2e370 Add PretrainableMaxouts 2017-05-08 14:24:43 +02:00
Matthew Honnibal
2e2268a442 Precomputable hidden now working 2017-05-08 11:36:37 +02:00
Matthew Honnibal
10682d35ab Get pre-computed version working 2017-05-08 00:38:35 +02:00
Matthew Honnibal
35458987e8 Checkpoint -- nearly finished reimpl 2017-05-07 23:05:01 +02:00
Matthew Honnibal
4441866f55 Checkpoint -- nearly finished reimpl 2017-05-07 22:47:06 +02:00
Matthew Honnibal
6782eedf9b Tmp GPU code 2017-05-07 11:04:24 -05:00
Matthew Honnibal
e420e5a809 Tmp 2017-05-07 07:31:09 -05:00
Matthew Honnibal
12039e80ca Switch to single matmul for state layer 2017-05-07 14:26:34 +02:00
Matthew Honnibal
700979fb3c CPU/GPU compat 2017-05-07 04:01:11 +02:00
Matthew Honnibal
f99f5b75dc working residual net 2017-05-07 03:57:26 +02:00
Matthew Honnibal
bdf2dba9fb WIP on refactor, with hidde pre-computing 2017-05-07 02:02:43 +02:00
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 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
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