Natural Language Toolkit (NLTK)   www.nltk.org

Authors: Steven Bird <[email protected]>
         Edward Loper <[email protected]>
         Ewan Klein <[email protected]>

Copyright (C) 2001-2009 NLTK Project

For license information, see LICENSE.txt

NLTK -- the Natural Language Toolkit -- is a suite of open source
Python modules, data sets and tutorials supporting research and
development in Natural Language Processing.

Documentation: A substantial amount of documentation about how
to use NLTK, including a textbook and API documention, is
available from the NLTK website: http://www.nltk.org/

  - The book covers a wide range of introductory topics in NLP, and
    shows how to do all the processing tasks using the toolkit.

  - The toolkit's reference documentation describes every module,
    interface, class, method, function, and variable in the toolkit.
    This documentation should be useful to both users and developers.  

Mailing Lists: There are several mailing lists associated with NLTK:

  - nltk: Public information and announcements about NLTK (very low volume)
      http://groups.google.com/group/nltk
  - nltk-users: Discussions amongst NLTK users
      http://groups.google.com/group/nltk-users
  - nltk-dev: Discussions amongst NLTK developers
      http://groups.google.com/group/nltk-dev
  - nltk-translation: Discussions about translating the NLTK book
      http://groups.google.com/group/nltk-translation
  - nltk-commits: Subversion commit logs for NLTK
      http://groups.google.com/group/nltk-commits

Contributing: If you would like to contribute to NLTK,
    please see http://www.nltk.org/contribute

Donating: Have you found the toolkit helpful?  Please support NLTK development
    by donating to the project via PayPal, using the link on the NLTK homepage.

Redistributing: NLTK source code is distributed under the Gnu Public License.
    NLTK documentation is distributed under the Creative Commons
    Attribution-Noncommercial-No Derivative Works 3.0 United States license.
    NLTK corpora are provided under the terms given in the README file
    for each corpus; all are redistributable, and available for non-commercial use.
    NLTK may be freely redistributed, subject to the provisions of these licenses.

Citing: If you publish work that uses NLTK, please cite the NLTK book, as follows:

    Bird, Steven, Edward Loper and Ewan Klein (2009).
    Natural Language Processing with Python.  O'Reilly Media Inc.