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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 10a33ec725 * Upd fabfile for experiments 2014-11-07 04:44:14 +11:00
data * Update tokenization rules 2014-11-04 01:06:00 +11:00
docs * Upd sales copy 2014-11-04 17:01:54 +11:00
spacy * Upd NER feats. With adadelta learner, getting 76.9 on NER 2014-11-07 04:43:54 +11:00
tests * Upd shape test 2014-11-07 04:42:54 +11:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
fabfile.py * Upd fabfile for experiments 2014-11-07 04:44:14 +11:00
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Upd setup 2014-11-05 20:45:44 +11:00

README.md

spaCy

Lightning fast, full-cream NL tokenization. Tokens are pointers to rich Lexeme structs.