💫 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 03cc2ee08e * Add test for numpy array transport		2015-01-30 16:43:55 +11:00
bin/parser	* Allow parsers and taggers to be trained on text without gold pre-processing.	2015-01-30 16:36:24 +11:00
docs	* Start work on lexrank tutorial	2015-01-30 16:42:43 +11:00
spacy	* Ensure parser and tagger function correctly when training from missing values, indicated by -1	2015-01-30 14:08:56 +11:00
tests	* Add test for numpy array transport	2015-01-30 16:43:55 +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
LICENSE.txt	* Add license file	2015-01-26 03:07:18 +11:00
README.md	Update README.md	2015-01-27 21:55:36 +11:00
dev_setup.py	* Upd dev_setup	2015-01-03 21:02:03 +11:00
fabfile.py	* Fix clean command	2015-01-25 14:49:29 +11:00
requirements.txt	* Upd requirements	2015-01-25 23:01:42 +11:00
setup.py	* Fix numpy commit problem	2015-01-28 14:00:20 +11:00

README.md

spaCy

http://honnibal.github.io/spaCy

Fast, state-of-the-art natural language processing pipeline. Commercial licenses available, or use under AGPL.

Tested (and working) with:

CPython 2.7
CPython 3.4
OSX
Linux

Untested:

Windows

Fails with:

PyPy 2.7
PyPy 3.4