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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 6896455884 * Rejig parser interface to use new thinc.api.Example class, in prep of theano model. Comment out beam search
2015-06-26 06:25:36 +02:00
bin * Don't compile the orig_arc_eager and tree_arc_eager modules used for the EMNLP paper 2015-06-23 05:38:17 +02:00
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lang_data/en * Add hyphenation rule to infix.txt for tokenizer 2015-06-06 05:56:00 +02:00
spacy * Rejig parser interface to use new thinc.api.Example class, in prep of theano model. Comment out beam search 2015-06-26 06:25:36 +02:00
tests * Add test for strip_bad_periods reading in read_conll.parse 2015-06-18 16:36:04 +02:00
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requirements.txt * Require thinc 2.0 2015-06-10 06:57:13 +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