PyLangAcq: Language Acquisition Research in Python¶
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.