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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal ed0ff63c09 * Compile attrs and parser in setup
2014-12-23 15:18:20 +11:00
data * Make suffixes file use full-power regex, so that we can handle periods properly 2014-12-09 19:04:27 +11:00
docs * Play with examples in index.rst 2014-12-23 15:17:56 +11:00
spacy * Move lemmatizer to en dir 2014-12-23 15:16:57 +11:00
tests * All tests now passing for reorg 2014-12-23 13:18:59 +11:00
.gitignore * Ignore cpp files from parser 2014-12-18 09:05:51 +11:00
fabfile.py * Add conll experiments 2014-11-12 23:22:05 +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 * Compile attrs and parser in setup 2014-12-23 15:18:20 +11:00

README.md

spaCy

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