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Metadata-Version: 1.1
Name: PyNLPl
Version: 1.1.2
Summary: 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 contains modules for basic tasks, clients for interfacting with server, and modules for parsing several file formats common in NLP, most notably FoLiA.
Home-page: https://github.com/proycon/pynlpl
Author: Maarten van Gompel
Author-email: proycon@anaproy.nl
License: GPL
Description: PyNLPl - Python Natural Language Processing Library
        =====================================================
        
        .. image:: https://travis-ci.org/proycon/pynlpl.svg?branch=master
            :target: https://travis-ci.org/proycon/pynlpl
        
        .. image:: http://readthedocs.org/projects/pynlpl/badge/?version=latest
        	:target: http://pynlpl.readthedocs.io/en/latest/?badge=latest
        	:alt: Documentation Status
        
        .. image:: http://applejack.science.ru.nl/lamabadge.php/pynlpl
           :target: http://applejack.science.ru.nl/languagemachines/
        
        
        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 basic tasks such as the extraction of n-grams and
        frequency lists, and to build simple language model. There are also more
        complex data types and algorithms. Moreover, there are parsers for file formats
        common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to
        interface with various NLP specific servers. PyNLPl most notably features a
        very extensive library for working with FoLiA XML (Format for Linguistic
        Annotatation).
        
        The library is a divided into several packages and modules. It works on Python
        2.7, as well as Python 3.
        
        The following modules are available:
        
        - ``pynlpl.datatypes`` - Extra datatypes (priority queues, patterns, tries)
        - ``pynlpl.evaluation`` - Evaluation & experiment classes (parameter search, wrapped
          progressive sampling, class evaluation (precision/recall/f-score/auc), sampler, confusion matrix, multithreaded experiment pool)
        - ``pynlpl.formats.cgn`` - Module for parsing CGN (Corpus Gesproken Nederlands) part-of-speech tags
        - ``pynlpl.formats.folia`` - Extensive library for reading and manipulating the
          documents in `FoLiA <http://proycon.github.io/folia>`_ format (Format for Linguistic Annotation).
        - ``pynlpl.formats.fql`` - Extensive library for the FoLiA Query Language (FQL),
          built on top of ``pynlpl.formats.folia``. FQL is currently documented `here
          <https://github.com/proycon/foliadocserve>`__. 
        - ``pynlpl.formats.cql`` - Parser for the Corpus Query Language (CQL), as also used by
          Corpus Workbench and Sketch Engine. Contains a convertor to FQL.
        - ``pynlpl.formats.giza`` - Module for reading GIZA++ word alignment data
        - ``pynlpl.formats.moses`` - Module for reading Moses phrase-translation tables.
        - ``pynlpl.formats.sonar`` - Largely obsolete module for pre-releases of the
          SoNaR corpus, use ``pynlpl.formats.folia`` instead.
        - ``pynlpl.formats.timbl`` - Module for reading Timbl output (consider using
          `python-timbl <https://github.com/proycon/python-timbl>`_ instead though)
        - ``pynlpl.lm.lm`` - Module for simple language model and reader for ARPA
          language model data as well (used by SRILM).
        - ``pynlpl.search`` - Various search algorithms (Breadth-first, depth-first,
          beam-search, hill climbing, A star, various variants of each)
        - ``pynlpl.statistics`` - Frequency lists, Levenshtein, common statistics and
          information theory functions
        - ``pynlpl.textprocessors`` - Simple tokeniser, n-gram extraction 
        
        
        API Documentation can be found `here <http://pynlpl.readthedocs.io/en/latest/>`__.
        
        
        
Keywords: nlp computational_linguistics search ngrams language_models linguistics toolkit
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)