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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 2ef170a991 * Fix Issue #54: Error merging multi-word token when there's a mid-token match.
2015-04-16 04:28:06 +02:00
bin * Clean up train.py 2015-04-15 06:02:04 +02:00
contributors * Fix nested lists 2015-03-25 14:38:59 +01:00
docs * Add note to index.rst releasing version 0.80 2015-04-13 05:45:18 +02:00
lang_data/en * Fix specials.json 2015-04-12 04:45:41 +02:00
spacy * Fix Issue #54: Error merging multi-word token when there's a mid-token match. 2015-04-16 04:28:06 +02:00
tests * Fix Issue #54: Error merging multi-word token when there's a mid-token match. 2015-04-16 04:28:06 +02:00
.gitignore * Upd gitignore 2015-04-08 07:48:04 +02:00
.travis.yml * Try not downloading stuff for travis.yml 2015-04-13 05:59:05 +02:00
bootstrap_python_env.sh * Add bootstrap script 2015-03-16 14:01:36 -04:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Add train function to fabfile 2015-04-08 22:47:59 +02:00
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README.md

spaCy

http://honnibal.github.io/spaCy

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

Version 0.80 released

2015-04-13

  • Preliminary named entity recognition support. Accuracy is currently substantially behind the current state-of-the-art. I'm working on improvements.

  • Better sentence boundary detection, drawn from the syntactic structure.

  • Lots of bug fixes

Supports:

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

Want to support:

  • Visual Studio

Difficult to support:

  • PyPy 2.7
  • PyPy 3.4