Open source Python modules, linguistic data and documentation for research and development in natural language processing and text analytics, with distributions for Windows, Mac OSX and Linux.
- News - NLTK Cookbook by Jacob Perkins [December 2010], NLTK book in third printing [November 2010], Japanese translation of NLTK book published [November 2010], Version 2.0b9 released [July 2010], Version 2.0b8 included in Ubuntu 10.4 [February 2010]
- Code - functionality provided by NLTK in over 100,000 lines of Python code, distributed under the Apache License
- Data - ~60 corpora, grammar collections, and trained models that come with NLTK
- Quotes - what people have said about NLTK
Getting Started
- Documentation - book, articles, guides, reviews
- Download - instructions for downloading and installing Python and NLTK on all platforms
- Getting Started - simple things to try, including NLTK's demonstrations
- Subscribe - sign up for important announcements - approx 1 post per month
Getting Help
- FAQ - answers to frequently asked questions
- HOWTO - guides for a variety of NLTK packages, including many examples
- User forum - mailing list for discussion amongst NLTK users
- Chatroom - #nltk on irc.freenode.net (not often staffed)
- API Documentation - complete documentation of all NLTK modules
- Source - browse the Python source code
- Google Code - the home of the NLTK development work (submit a feature request or bug report)
- People - the NLTK development team
- API Documentation - complete documentation of all NLTK modules
- Source - browse the Python source code
- Google Code - the home of the NLTK development work (submit a feature request or bug report)
- People - the NLTK development team
Education and Research
- Courses - ~100 courses in 23 countries using NLTK (artificial intelligence, computational linguistics, information retrieval, machine learning)
- Projects - ideas for student projects
- Teaching - information for instructors teaching courses using NLTK
- Research - hundreds of research papers that mention or use NLTK, via Google Scholar
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