PyLangAcq: Language Acquisition Research in Python

Full documentation: https://pylangacq.org

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PyLangAcq is a Python library for language acquisition research.

• Reading and writing the CHAT data format used by TalkBank and CHILDES datasets
• Intuitive Python data structures for flexible data access and manipulation
• Standard developmental measures readily available: Mean length of utterance (MLU), type-token ratio (TTR), and Index of Productive Syntax (IPSyn)
• Direct support and powerful extensions possible for CHAT-formatted conversational datasets more generally

Since v0.20.0 (February 2026), PyLangAcq depends on Rustling <https://docs.rustling.io>_, a library for efficiently handling CHAT data and other computational linguistics tasks.

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Download and Install

Using pip::

pip install --upgrade pylangacq

Using conda::

conda install -c conda-forge pylangacq

Ready for more? Check out the Quickstart <https://pylangacq.org/quickstart.html>_ page.

Links

• Documentation: https://pylangacq.org
• Source code: https://github.com/jacksonllee/pylangacq
• Author: Jackson L. Lee <https://jacksonllee.com>_

How to Cite

Lee, Jackson L., Ross Burkholder, Gallagher B. Flinn, and Emily R. Coppess. 2016. Working with CHAT transcripts in Python <https://jacksonllee.com/papers/lee-etal-2016-pylangacq.pdf>. Technical report TR-2016-02 <https://newtraell.cs.uchicago.edu/research/publications/techreports/TR-2016-02>, Department of Computer Science, University of Chicago.

.. code-block:: latex

@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},
}

License

MIT License

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