https://github.com/jacksonllee/pylangacq

Language Acquisition Research Tools
https://github.com/jacksonllee/pylangacq

child-development childes computational-linguistics language-acquisition language-development linguistics natural-language-processing nlp pylangacq python talkbank

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Language Acquisition Research Tools

• Host: GitHub
• URL: https://github.com/jacksonllee/pylangacq
• Owner: jacksonllee
• License: mit
• Created: 2015-12-05T02:06:47.000Z (over 10 years ago)
• Default Branch: main
• Last Pushed: 2025-11-16T23:09:25.000Z (5 months ago)
• Last Synced: 2025-11-17T00:08:38.169Z (5 months ago)
• Topics: child-development, childes, computational-linguistics, language-acquisition, language-development, linguistics, natural-language-processing, nlp, pylangacq, python, talkbank
• Language: Python
• Homepage: https://pylangacq.org
• Size: 4.84 MB
• Stars: 42
• Watchers: 6
• Forks: 19
• Open Issues: 8
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

          
PyLangAcq: Language Acquisition Research in Python

==================================================

Full documentation: https://pylangacq.org

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.. image:: https://badge.fury.io/py/pylangacq.svg

   :target: https://pypi.python.org/pypi/pylangacq

   :alt: PyPI version

.. image:: https://img.shields.io/conda/vn/conda-forge/pylangacq.svg

   :target: https://anaconda.org/conda-forge/pylangacq

   :alt: Conda version

.. image:: https://img.shields.io/pypi/pyversions/pylangacq.svg

   :target: https://pypi.python.org/pypi/pylangacq

   :alt: Supported Python versions

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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 `_,

a library for efficiently handling CHAT data and other computational linguistics tasks.

.. _download_install:

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.

.. 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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