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.
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.
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.
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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