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

ai artificial-intelligence cython data-science deep-learning entity-linking machine-learning named-entity-recognition natural-language-processing neural-network neural-networks nlp nlp-library python spacy starred-explosion-repo starred-repo text-classification tokenization

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Matthew Honnibal a8fc5f1285 * Fix munge/read_ner		2015-06-08 00:35:04 +02:00
bin	* Fix write_parses mode of bin/parser/train.py	2015-06-07 19:08:48 +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	* Fix munge/read_ner	2015-06-08 00:35:04 +02:00
tests	* Add explicit tokenizer test	2015-06-07 21:29:17 +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