GitHub - jokame/pynlpl: Python Natural Language Processing Library -- (Note: pynlpl is pronounced as: pineapple). In addition to generic algorithms and data structures for NLP, PyNLPl also contains modules for a wide variety of NLP tasks, such as parsers for various file formats common in Dutch Computational Linguistics, such as FoLiA, D-Coi, SoNaR, Tadpole/Frog, Timbl.

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Python Natural Language Processing Library -- (Note: pynlpl is pronounced as: pineapple). In addition to generic algorithms and data structures for NLP, PyNLPl also contains modules for a wide variety of NLP tasks, such as parsers for various file formats common in Dutch Computational Linguistics, such as FoLiA, D-Coi, SoNaR, Tadpole/Frog, Timbl.

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clients		clients
docs		docs
examples		examples
formats		formats
lm		lm
mt		mt
tests		tests
tools		tools
AUTHORS		AUTHORS
README		README
__init__.py		__init__.py
algorithms.py		algorithms.py
common.py		common.py
datatypes.py		datatypes.py
evaluation.py		evaluation.py
net.py		net.py
search.py		search.py
setup.cfg		setup.cfg
setup.py		setup.py
statistics.py		statistics.py
tagger.py		tagger.py
textprocessors.py		textprocessors.py
web.py		web.py

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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