17.2021, Software: Natural Language Toolkit: NLTK-Lite Version 0.6.5

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LINGUIST List: Vol-17-2021. Tue Jul 11 2006. ISSN: 1068 - 4875.

Subject: 17.2021, Software: Natural Language Toolkit: NLTK-Lite Version 0.6.5

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1)
Date: 10-Jul-2006
From: Steven Bird < sb at csse.unimelb.edu.au >
Subject: Natural Language Toolkit: NLTK-Lite Version 0.6.5 

	
-------------------------Message 1 ---------------------------------- 
Date: Tue, 11 Jul 2006 10:11:04
From: Steven Bird < sb at csse.unimelb.edu.au >
Subject: Natural Language Toolkit: NLTK-Lite Version 0.6.5 
 

NLTK, the Natural Language Toolkit, is a suite of Python libraries and programs
for natural language processing.  Version 0.6.5 has been released, and can be
downloaded from  http://nltk.sourceforge.net/

CONTENTS

Software Modules:  corpus readers, tokenizers & stemmers, taggers (regexp,
n-gram, backoff, Brill, HMM), parsers (recursive descent, shift-reduce, chart,
probabilistic, ...), clusterers (EM, k-means, ...), probability distributions,
chatbots, demonstrations, ...

Corpora and Corpus Samples: Brown Corpus, CMU Pronunciation Dictionary,
CoNNL-2000, Genesis, Gutenberg, IEER, Presidential Addresses, Names,
PP-Attachment, Senseval 2, TIMIT, Treebank, Words

Documentation: Tutorials and exercises (190pp), API documentation for all
software modules, installation instructions for Windows, Mac, Unix.

ChangeLog for Version 0.6.5 2006-07-09

* Code:
 - improvements to shoebox module (Stuart Robinson, Greg Aumann)
 - incorporated feature-based parsing into core NLTK-Lite
 - corpus reader for Sinica treebank sample
 - new stemmer package
* Contrib:
 - hole semantics implementation (Peter Wang)
 - Incorporating yaml
 - new work on feature structures, unification, lambda calculus
 - new work on shoebox package (Stuart Robinson, Greg Aumann)
* Corpora:
 - Sinica treebank sample
* Tutorials:
 - expanded discussion throughout, incl: left-recursion, trees, grammars,
   feature-based grammar, agreement, unification, PCFGs,
   baseline performance, exercises, improved display of trees

-Steven Bird


Linguistic Field(s): Cognitive Science
                     Computational Linguistics
                     Text/Corpus Linguistics





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