pylangacq 0.20.0

Tools for Language Acquisition Research

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

Download and Install

To download and install the most recent version:

$ pip install --upgrade pylangacq

Ready for more? Check out the Quickstart page.

Links

• Documentation: https://pylangacq.org

• Author: Jackson L. Lee

• Source code: https://github.com/jacksonllee/pylangacq

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

Changelog

Please see CHANGELOG.md.

Contributing

Please see CONTRIBUTING.md.