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PyLangAcq: Language Acquisition Research in Python

Project Description

PyLangAcq is a Python library for language acquisition research. It allows flexible handling of the CHILDES data.

Full documentation: http://pylangacq.org/

Features

  • Comprehensive capabilities of handling CHAT transcripts as used in CHILDES
  • Intuitive data structures for flexible data access and all sorts of modeling work
  • Standard developmental measures such as TTR, MLU, and IPSyn readily available
  • More benefits from Python: fast coding, numerous libraries for computational modeling and machine learning
  • Powerful extensions for research with conversational data in general

Download and install

PyLangAcq is available via pip:

$ pip install pylangacq

PyLangAcq works with Python 2.7 and 3.4+.

How to cite

PyLangAcq is maintained by Jackson Lee. If you use PyLangAcq in your research, please cite the following:

Lee, Jackson L., Ross Burkholder, Gallagher B. Flinn, and Emily R. Coppess. 2016. Working with CHAT transcripts in Python. Technical report TR-2016-02, Department of Computer Science, University of Chicago.

@TechReport{lee-et-al-pylangacq:2016,
   Title       = {Working with CHAT transcripts in Python},
   Author      = {Lee, Jackson L. and Burkholder, Ross and Flinn, Gallagher B. and Coppess, Emily R.},
   Institution = {Department of Computer Science, University of Chicago},
   Year        = {2016},
   Number      = {TR-2016-02},
}

Change log

See CHANGELOG.md.

License

The MIT License. Please see LICENSE.txt.

Release History

Release History

This version
History Node

0.10.0

History Node

0.9.0

History Node

0.8

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Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pylangacq-0.10.0-py2.py3-none-any.whl (36.4 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Nov 2, 2017
pylangacq-0.10.0.tar.gz (31.7 kB) Copy SHA256 Checksum SHA256 Source Nov 2, 2017

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