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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 362f87dc3a * Update input corruption method to work with lists as well as trings
2015-06-05 19:33:32 +02:00
bin * Update input corruption method to work with lists as well as trings 2015-06-05 19:33:32 +02:00
contributors Add CLA for suchow 2015-04-19 13:01:38 -07:00
docs Merge branch 'constituency' 2015-06-03 06:07:24 +02:00
lang_data/en Remove trailing whitespace 2015-04-19 13:01:38 -07:00
spacy * Remove dead code from ner.pyx 2015-06-05 17:12:47 +02:00
tests * Add some tests for reading NER data 2015-05-27 17:37:03 +02:00
.gitignore Don't track generated data files 2015-04-19 13:25:42 -07:00
.travis.yml Minor copyediting 2015-04-19 13:01:38 -07:00
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 * Update fabfile.py for JSON-formatted training 2015-05-12 22:34:07 +02:00
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MANIFEST.in * Add manifest file 2015-01-30 16:49:02 +11:00
README.md * Tweak readme.md 2015-05-12 03:32:53 +02:00
requirements.txt * Require thinc 1.76 2015-06-05 15:50:05 +02:00
setup.py * Don't use alignment.pyx file, move functionality to spacy.gold 2015-05-24 21:51:15 +02:00
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README.md

spaCy

http://honnibal.github.io/spaCy

A pipeline for fast, state-of-the-art natural language processing. Commercial licenses available, otherwise under AGPL.

2015-05-12 v0.84

  • Bug fixes for parsing
  • Bug fixes for named entity recognition

Supports

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux
  • Cygwin

Want to support:

  • Visual Studio

Difficult to support:

  • PyPy 2.7
  • PyPy 3.4