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NLTK: the natural language toolkit

Authors:

Steven Bird,

Edward LoperAuthors Info & Claims

ACLdemo '04: Proceedings of the ACL 2004 on Interactive poster and demonstration sessions

Pages 31 - es

https://doi.org/10.3115/1219044.1219075

Published: 21 July 2004 Publication History

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Abstract

The Natural Language Toolkit is a suite of program modules, data sets, tutorials and exercises, covering symbolic and statistical natural language processing. NLTK is written in Python and distributed under the GPL open source license. Over the past three years, NLTK has become popular in teaching and research. We describe the toolkit and report on its current state of development.

References

[1]

Edward Loper and Steven Bird. 2002. NLTK: The Natural Language Toolkit. In Proceedings of the ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, pages 62--69. Somerset, NJ: Association for Computational Linguistics. http://arXiv.org/abs/cs/0205028.

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[2]

Edward Loper. 2004. NLTK: Building a pedagogical toolkit in Python. In PyCon DC 2004. Python Software Foundation, http://www.python.org/pycon/dc2004/papers/.

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[3]

Guido Van Rossum. 2003a. An Introduction to Python. Network Theory Ltd.

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Guido Van Rossum. 2003b. The Python Language Reference. Network Theory Ltd.

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Published In

ACLdemo '04: Proceedings of the ACL 2004 on Interactive poster and demonstration sessions

July 2004

144 pages

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Association for Computational Linguistics

United States

Publication History

Published: 21 July 2004

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