💫 Industrial-strength Natural Language Processing (NLP) in Python
Go to file
2015-01-05 11:54:29 +11:00
docs * Update docs 2014-12-30 21:20:34 +11:00
spacy * Fix encoding in lemmatization 2015-01-05 11:54:29 +11:00
tests * Fix encoding in lemmatizer tests 2015-01-05 11:53:30 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
.travis.yml * Import from pypi --- we don't want travis to compile the module, and we don't want to store the c files in the repo 2015-01-05 06:20:56 +11:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Upd fabfile 2015-01-05 05:30:24 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Pin preshed to a particular version 2014-12-20 04:01:32 +11:00
setup.py * Increment version 2015-01-05 05:41:15 +11:00

spaCy

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