Package nltk_lite
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Package nltk_lite

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NLTK-Lite is a collection of lightweight NLP modules designed for maximum simplicity and efficiency. NLTK-Lite only covers the simple variants of standard data structures and tasks. It makes extensive use of iterators so that large tasks generate output as early as possible.

Key differences from NLTK are as follows:

NLTK-Lite is primarily intended to facilitate teaching NLP to students having limited programming experience. The focus is on teaching Python together with the help of NLP recipes, instead of teaching students to use a large set of specialized classes.


Version: 0.7.5

Author:

Steven Bird

Copyright:

Copyright (C) 2001-2007 University of Pennsylvania. Distributed and Licensed under provisions of the GNU Public License, which is included by reference.

License:

GNU Public License

Submodules [hide private]

Variables [hide private]
  __version__ = '0.7.5'
  __longdescr__ = 'The Natural Langauge Toolkit (NLTK-Lite) is a...
  __keywords__ = ['NLP', 'CL', 'natural language processing', 'c...
  __url__ = 'http://nltk.sf.net/'
  __maintainer__ = 'Steven Bird'
  __maintainer_email__ = 'sb@csse.unimelb.edu.au'
  __author_email__ = 'sb@csse.unimelb.edu.au'
Variables Details [hide private]

__longdescr__

Value:
'''The Natural Langauge Toolkit (NLTK-Lite) is a Python package for
processing natural language text.  It was developed as a simpler,
lightweight version of NLTK.  NLTK-Lite requires Python 2.4 or higher.\
'''

__keywords__

Value:
['NLP',
 'CL',
 'natural language processing',
 'computational linguistics',
 'parsing',
 'tagging',
 'tokenizing',
 'syntax',
...