Full documentation: https://pylangacq.org
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, a library for efficiently handling CHAT data and other computational linguistics tasks.
Download and Install
Using pip:
pip install --upgrade pylangacq
Using conda:
conda install -c conda-forge pylangacq
Ready for more? Check out the Quickstart page.
Links
Documentation: https://pylangacq.org
Source code: https://github.com/jacksonllee/pylangacq
Author: Jackson L. Lee
How to Cite
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},
}License
MIT License
1 maintainer
Release files for pylangacq 0.23.0
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Source distribution (sdist)
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|---|---|---|---|---|
| pylangacq-0.23.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.7 kB
Release files / pylangacq-0.23.0.tar.gz
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