explosion/spaCy

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💫 Industrial-strength Natural Language Processing (NLP) in Python

ai artificial-intelligence cython data-science deep-learning entity-linking machine-learning named-entity-recognition natural-language-processing neural-network neural-networks nlp nlp-library python spacy starred-explosion-repo starred-repo text-classification tokenization

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Matthew Honnibal 1b71cbfe28 * Roll back to using unicode, and never Py_UNICODE. No dependence on murmurhash either.		2014-08-18 20:48:48 +02:00
data	* Fix error in tokenization rules	2014-07-07 05:09:34 +02:00
include	* Add ext stuff, while I figure out how to get it working as a different project	2014-07-05 20:51:04 +02:00
spacy	* Roll back to using unicode, and never Py_UNICODE. No dependence on murmurhash either.	2014-08-18 20:48:48 +02:00
tests	* Refactor spacy so that chunks return arrays of lexemes, so that there is properly one lexeme per word.	2014-08-18 19:14:00 +02:00
.gitignore	* Update gitignore	2014-08-02 22:06:30 +01:00
fabfile.py	* Add build/setup stuff	2014-07-05 20:49:34 +02:00
README.md	Initial commit	2014-07-04 01:15:40 +10:00
requirements.txt	* Switch to using sparsehash and murmurhash libraries out of pip	2014-07-25 15:47:27 +01:00
setup.py	* Refactor spacy so that chunks return arrays of lexemes, so that there is properly one lexeme per word.	2014-08-18 19:14:00 +02:00

README.md

spaCy

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