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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 302e09018b * Work on fixing special-cases, reading them in as JSON objects so that they can specify lemmas 2014-12-09 14:48:01 +11:00
data * Revise tokenization rules to match PTB. Rules are pretty messy around periods, need better support for these. 2014-12-07 22:04:47 +11:00
docs * Make intro chattier, explain philosophy better 2014-12-02 15:20:18 +11:00
spacy * Work on fixing special-cases, reading them in as JSON objects so that they can specify lemmas 2014-12-09 14:48:01 +11:00
tests * Work on fixing special-cases, reading them in as JSON objects so that they can specify lemmas 2014-12-09 14:48:01 +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 * Rearrange POS stuff, so that language-specific stuff can live in language-specific modules 2014-12-07 23:52:41 +11:00

README.md

spaCy

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