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 pylangacqPyLangAcq 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.
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