Natural Language Toolkit
| Original author(s) | Steven Bird, Edward Loper, Ewan Klein |
|---|---|
| Developer(s) | Team NLTK |
| Initial release | 2001[1] |
| Stable release | 3.1 / 15 October 2015[2] |
| Preview release | 3.0b2 / 21 August 2014[3] |
| Written in | Python |
| Type | Natural language processing |
| License | Apache 2.0[4] |
| Website | nltk |
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,[5] plus a cookbook.[6]
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.[7] NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems.
Library highlights
- Lexical analysis: Word and text tokenizer
- n-gram and collocations
- Part-of-speech tagger
- Tree model and Text chunker for capturing
- Named-entity recognition
See also
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References
- ↑ project site on SourceForge; registered:2001-07-09
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External links
- 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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