| Original author(s) | Edward Loper, Ewan Klein, Steven Bird |
|---|---|
| Developer(s) | NLTK - Developers and contributors |
| Initial release | 2001[1] |
| Stable release | 2.0b9 / 25 July 2010 |
| Preview release | 2.0.1 (rc1) / 11 April 2011 |
| Written in | Python |
| Available in | Python |
| Type | natural language processing |
| License | Apache 2.0 |
| Website | 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.[2]
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.[3] 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.
References [link]
- ^ project site on SourceForge; registered:2001-07-09
- ^ 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. https://aclweb.org/anthology-new/W/W08/W08-0208.pdf.
External links [link]
- Official website
- NLTK book online
- NLTK development at GitHub
- API documentation
- NLTK Presentation at Baypiggies User Group on YouTube. Presented at the Google Campus on 12 June 2007.
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