PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for example the computation of n-grams, frequency lists and distributions, language models. There are also more complex data types, such as Priority Queues, and search algorithms, such as Beam Search. It features a complete library for processing of FoLiA XML.
Project description
PyNLPl - Python Natural Language Processing Library
by Maarten van Gompel (proycon)
proycon AT anaproy DOT nl
http://proycon.anaproy.nl
Induction of Linguistic Knowledge Research Group
University of Tilburg
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Description:
PyNLPl, pronounced as "pineapple", is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for example the computation of n-grams, frequency lists and distributions, language models. There are also more complex data types, such as Priority Queues, and search algorithms, such as Beam Search. It features a library a complete library for processing of FoLiA XML as well.
The library is divided into several packages and modules. It works on Python 2.6 and above, including Python 3 .
Documentation:
For a complete library reference, see /docs/_build/html/index.html
by Maarten van Gompel (proycon)
proycon AT anaproy DOT nl
http://proycon.anaproy.nl
Induction of Linguistic Knowledge Research Group
University of Tilburg
----------------------------------------------------
Description:
PyNLPl, pronounced as "pineapple", is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for example the computation of n-grams, frequency lists and distributions, language models. There are also more complex data types, such as Priority Queues, and search algorithms, such as Beam Search. It features a library a complete library for processing of FoLiA XML as well.
The library is divided into several packages and modules. It works on Python 2.6 and above, including Python 3 .
Documentation:
For a complete library reference, see /docs/_build/html/index.html
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