NLTK: Natural language processing in Python

Discussion in 'Python' started by Steven Bird, May 26, 2007.

  1. Steven Bird

    Steven Bird Guest

    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. It comes with 50k lines of code,
    300Mb of datasets, and a 360 page book which teaches both Python and
    Natural Language Processing. NLTK has been adopted in at least 40
    university courses. NLTK is hosted on sourceforge, and is ranked in
    the top 200 projects.

    http://nltk.sourceforge.net/


    Quotes -- what users have said about NLTK:

    "... the quite remarkable Natural Language Toolkit (NLTK), a wonderful
    tool for teaching, and working in, computational linguistics using
    Python."
    http://www.ibm.com/developerworks/linux/library/l-cpnltk.html

    "Natural Language Toolkit (nltk) is an amazing library to play with
    natural language."
    http://www.biais.org/blog/index.php...sing-the-python-natural-language-toolkit-nltk

    "... a wonderful lightweight framework that provides a wealth of NLP tools."
    http://harnly.net/2007/blog/geek/lang/ruby/nltks-ing-words-variations/

    "A good place to start for those learning about NLP for the first
    time, this has been used in many academic situations. It is extremely
    well documented, with tutorials which not only explain the tool, but
    also give an overview of the subject (eg document clustering). I was
    able to go from downloading it for the first time, to creating and
    training a 2004 Task 1A system (bigram gene name tagger) in about and
    hour."
    http://compbio.uchsc.edu/corpora/bcresources.html

    "Students with no previous programming experience will be able to
    spend more of their time thinking about the logical steps involved in
    getting the computer to process language data, and less time mastering
    and using the arcana involved in getting the computer to do anything
    at all."
    http://linguistlist.org/issues/14/14-3165.html

    Steven Bird
    http://www.csse.unimelb.edu.au/~sb/
     
    Steven Bird, May 26, 2007
    #1
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  2. Steven Bird

    tool69 Guest

    NLTK seems very interesting, and the tutorial are very well done.
    Thanks for it !

    Kib²
     
    tool69, May 26, 2007
    #2
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