PyLangAcq: Language Acquisition Research in Python

PyLangAcq is a Python library for language acquisition research.

  • Easy access to CHILDES and other TalkBank 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

Download and Install

To download and install the most recent version:

$ pip install --upgrade pylangacq

Ready for more? Check out the Quickstart page.

Consulting

If your team would like professional assistance in using PyLangAcq, freelance consulting and training services are available for both academic and commercial groups. Please email Jackson L. Lee.

Support

If you have found PyLangAcq useful and would like to offer support, buying me a coffee would go a long way!

How to Cite

PyLangAcq is authored and maintained by Jackson L. Lee.

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. Please see LICENSE.txt in the GitHub source code for details.

The test data files included come from CHILDES, and have a CC BY-NC-SA 3.0 license instead; please also see pylangacq/tests/test_data/README.md in the GitHub source code for details.

Table of Contents