💫 Industrial-strength Natural Language Processing (NLP) in Python
Go to file
2015-01-22 02:04:24 +11:00
bin/parser * Add parser training script 2015-01-10 04:53:26 +11:00
docs * Upd docs 2015-01-17 16:19:21 +11:00
spacy * Rename vec to repvec 2015-01-22 02:04:24 +11:00
tests * Upd tests 2015-01-17 17:33:23 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
.travis.yml * Allow pypy test to fail 2015-01-06 13:13:04 +11:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Upd fabfile 2015-01-17 16:20:03 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Upd requirements.txt 2015-01-17 16:20:16 +11:00
setup.py * Load numpy headers 2015-01-17 16:19:54 +11:00

spaCy

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