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

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Matthew Honnibal bbef71f213 * Fix min function in fill_context		2015-06-28 10:46:39 +02:00
bin	* Fix token scoring	2015-06-28 06:22:18 +02:00
contributors	Add CLA for suchow	2015-04-19 13:01:38 -07:00
docs	Merge branch 'master' of ssh://github.com/honnibal/spaCy	2015-06-28 09:43:11 +02:00
lang_data/en	* Add lemma rule for better and best in morphs.json	2015-06-28 09:26:25 +02:00
spacy	* Fix min function in fill_context	2015-06-28 10:46:39 +02:00
tests	* Add test for strip_bad_periods reading in read_conll.parse	2015-06-18 16:36:04 +02:00
.gitignore	Don't track generated data files	2015-04-19 13:25:42 -07:00
.travis.yml	* Have travis use pip again...	2015-06-08 01:27:08 +02:00
LICENSE.txt	Tweak line spacing	2015-04-19 13:01:38 -07:00
MANIFEST.in	* Add manifest file	2015-01-30 16:49:02 +11:00
README.md	* Declare new release in docs	2015-06-24 05:05:33 +02:00
bootstrap_python_env.sh	* Add bootstrap script	2015-03-16 14:01:36 -04:00
dev_setup.py	Tweak line spacing	2015-04-19 13:01:38 -07:00
fabfile.py	* Fix fab test	2015-06-07 22:59:05 +02:00
requirements.txt	* Update requirement to thinc 3.0	2015-06-28 06:21:20 +02:00
setup.py	* Update requirement to thinc 3.0	2015-06-28 06:21:20 +02:00
wordnet_license.txt	* Add WordNet license file	2015-02-01 16:11:53 +11:00

spaCy

The fastest natural language understanding pipeline available. Focus on good API, easy installation, and documentation.

Commercial licenses available, otherwise under AGPL.

2015-06-24 v0.86

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