Natural Language Toolkit
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| Stable release | Public |
|---|---|
| Type | natural language processing |
| License | Apache 2.0 |
| Website | http://www.nltk.org/ |
Natural Language Toolkit or, more commonly, NLTK is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python programming language. NLTK includes graphical demonstrations and sample data. It is accompanied by extensive documentation, including a book that explains the underlying concepts behind the language processing tasks supported by the toolkit.[1] The book is available for free download from http://www.nltk.org/book .
NLTK is ideally suited to students who are learning NLP or conducting research in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning.[2] NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems. The NLTK project is led by Steven Bird, Edward Loper, and Ewan Klein.
[edit] References
- ^ Bird, Steven; Ewan Klein; Edward Loper (2009). Natural Language Processing with Python. O'Reilly Media Inc. ISBN 0-596-51649-5.
- ^ Bird, Steven; Ewan Klein; Edward Loper; Jason Baldridge (2008). Multidisciplinary instruction with the Natural Language Toolkit. Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics, ACL. http://aclweb.org/anthology-new/W/W08/W08-0208.pdf.
[edit] External links
- NLTK website
- NLTK book online
- NLTK Presentation at Baypiggies User Group, Google Campus, 12 June 2007 (YouTube)
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