Metadata-Version: 2.0
Name: coquery
Version: 0.9.2
Summary: Coquery: A free corpus query tool
Home-page: http://www.coquery.org
Author: Gero Kunter
Author-email: gero.kunter@coquery.org
License: GPL3
Keywords: corpus linguistics query corpora analysis visualization
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Text Processing :: Linguistic
Requires-Dist: pandas
Requires-Dist: sqlalchemy

Coquery - a free corpus query tool
==================================

Coquery is a free corpus query tool for linguists, lexicographers,
translators, and anybody who wishes to search and analyse text corpora.
It is available for Windows, Linux, and Mac OS X computers.

You can either build your own corpus from a collection of text files (either 
PDF, MS Word, OpenDocument, HTML, or plain text) in a directory on your 
computer, or install a corpus module for one of the supported corpora (the 
corpus data files are not provided by Coquery).

.. figure:: http://www.coquery.org/_images/showcase.png
   :alt: Coquery: Main interface

   Coquery: Main interface

Tutorials and documentation can be found on the Coquery website:
http://www.coquery.org

Features
--------

An incomplete list of the things you can do with Coquery:

Corpora
~~~~~~~

-  Use the corpus manager to install one of the supported corpora
-  Build your own corpus from PDF, HTML, .docx, .odt, or plain text files
-  Filter your query for example by year, genre, or speaker gender
-  Choose which corpus features will be included in your query results
-  View every token that matches your query within its context

Queries
~~~~~~~

-  Match tokens by orthography, phonetic transcription, lemma, or gloss,
   and restrict your query by part-of-speech
-  Use string functions e.g. to test if a token contains a letter
   sequence
-  Use the same query syntax for all installed corpora
-  Automate queries by reading them from an input file

Analysis
~~~~~~~~

-  Summarize the query results as frequency tables or contingency tables
-  Calculate entropies and relative frequencies
-  Fetch collocations, and calculate association statistics like mutual
   information scores or conditional probabilities

Visualizations
~~~~~~~~~~~~~~

-  Use bar charts, heat maps, or bubble charts to visualize frequency
   distributions
-  Illustrate diachronic changes by using time series plots
-  Show the distribution of tokens within a corpus in a barcode or a
   beeswarm plot

Databases
~~~~~~~~~

-  Either connect to easy-to-use internal databases, or to powerful
   MySQL servers
-  Access large databases on a MySQL server over the network
-  Create links between tables from different corpora, e.g. to provide
   phonetic transcriptions for tokens in an unannotated corpus

Supported corpora
-----------------

Coquery already has installers for the following linguistic corpora and
lexical databases:

-  `British National Corpus (BNC)`_
-  `Buckeye Corpus`_
-  `CELEX Lexical Database (English)`_
-  `Carnegie Mellon Pronunciation Dictionary (CMUdict)`_
-  `Corpus of Contemporary American English (COCA)`_
-  `Corpus of Historical American English (COHA)`_
-  `Ġabra: an open lexicon for Maltese`_
-  `ICE-Nigeria`_
-  `Switchboard-1 Telephone Speech Corpus`_

.. _British National Corpus (BNC): http://www.natcorp.ox.ac.uk/
.. _Buckeye Corpus: http://buckeyecorpus.osu.edu/
.. _CELEX Lexical Database (English): https://catalog.ldc.upenn.edu/LDC96L14
.. _Carnegie Mellon Pronunciation Dictionary (CMUdict): http://www.speech.cs.cmu.edu/cgi-bin/cmudict
.. _Corpus of Contemporary American English (COCA): http://corpus.byu.edu/coca/
.. _Corpus of Historical American English (COHA): http://corpus.byu.edu/coha/
.. _`Ġabra: an open lexicon for Maltese`: http://mlrs.research.um.edu.mt/resources/gabra/
.. _ICE-Nigeria: http://sourceforge.net/projects/ice-nigeria/
.. _Switchboard-1 Telephone Speech Corpus: https://catalog.ldc.upenn.edu/LDC97S62

If the list is missing a corpus that you want to see supported in Coquery, 
you can either write your own corpus installer in Python using the installer 
API, or you can [contact](http://www.coquery.org/contact) the Coquery 
maintainers and ask them for assistance.

License
-------

Copyright (c) 2016 Gero Kunter

Initial development was supported by:
    English Linguistics
    Institut für Amerikanistik und Amerikanistik
    Heinrich-Heine-Universität Düsseldorf

Coquery is free software released under the terms of the 
`GNU General Public license (version 3) <http://www.coquery.org/license>`_

