💫 Industrial-strength Natural Language Processing (NLP) in Python
Go to file
Matthew Honnibal 49f3780ff5 * Fiddle with lexeme attrs 2014-12-04 21:22:38 +11:00
data * Upd tokenization special-cases 2014-11-11 22:10:15 +11:00
docs * Make intro chattier, explain philosophy better 2014-12-02 15:20:18 +11:00
spacy * Fiddle with lexeme attrs 2014-12-04 21:22:38 +11:00
tests * Make StringStore.__getitem__ accept unicode-typed keys. 2014-12-03 01:33:20 +11:00
.gitignore * Upd gitignore 2014-11-12 23:25:27 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
fabfile.py * Add conll experiments 2014-11-12 23:22:05 +11:00
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Hack setup.py to exclude tagger stuff 2014-12-03 11:06:57 +11:00

README.md

spaCy

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