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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 9f16848b60 * Add (N0w, N1w) unigram pair to NER features, prompted by failure to detect 'this weekend'
2015-04-15 06:01:18 +02:00
bin * Fix copying of tokenizer data in init_model 2015-04-12 04:45:31 +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 * Add (N0w, N1w) unigram pair to NER features, prompted by failure to detect 'this weekend' 2015-04-15 06:01:18 +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