Natural Language Toolkit
|Original author(s)||Steven Bird, Edward Loper, Ewan Klein|
|Stable release||3.0.0 / 7 September 2014|
|Preview release||3.0b1 / 23 July 2014|
|Type||Natural language processing|
The 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 a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook.
NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning. NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems.
- Lexical analysis:Word and text tokenizer
- n-gram and collocations
- Part-of-speech tagger
- Tree model and Text chunker for capturing
- Named-entity recognition
- project site on SourceForge; registered:2001-07-09
- "NLTK ChangeLog". nltk.org. Retrieved 2014-09-11.
- "NLTK News". nltk.org. Retrieved 2014-07-25.
- Bird, Steven; Ewan Klein; Edward Loper (2009). Natural Language Processing with Python. O'Reilly Media Inc. ISBN 0-596-51649-5.
- Perkins, Jacob (2010). Python Text Processing with NLTK 2.0 Cookbook. Packt Publishing. ISBN 1849513600.
- 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.
- 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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