PyLangAcq

PyLangAcq is a Python library for language acquisition research. It allows flexible handling of the CHILDES data.

Full documentation: http://pylangacq.org/

Features

• Comprehensive capabilities of handling CHAT transcripts as used in CHILDES
• Intuitive data structures for flexible data access and all sorts of modeling work
• Standard developmental measures such as TTR, MLU, and IPSyn readily available
• More benefits from Python: fast coding, numerous libraries for computational modeling and machine learning
• Powerful extensions for research with conversational data in general

Download and install

PyLangAcq is available via pip:

pip install -U pylangacq

PyLangAcq works with Python 3.6 or above.

Development

The source code of PyLangAcq is hosted on GitHub at https://github.com/jacksonllee/pylangacq, where development also happens.

For the latest changes not yet released through pip or working on the codebase yourself, you may obtain the latest source code through GitHub and git:

1. Create a fork of the pylangacq repo under your GitHub account.

2. Locally, make sure you are in some sort of a virtual environment (venv, virtualenv, conda, etc).

3. Download and install the library in the "editable" mode together with the core and dev dependencies within the virtual environment:

   git clone https://github.com/<your-github-username>/pylangacq.git
   cd pylangacq
   pip install --upgrade pip setuptools
   pip install -r dev-requirements.txt
   pip install -e .
   

We keep track of notable changes in CHANGELOG.md.

Contribution

For questions, bug reports, and feature requests, please file an issue.

If you would like to contribute to the pylangacq codebase, please see CONTRIBUTING.md.

How to Cite

PyLangAcq is maintained by Jackson Lee. If you use PyLangAcq in your research, please cite the following:

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

The MIT License; please see LICENSE.txt. The test data files included have a CC BY-NC-SA 3.0 license instead; please also see pylangacq/tests/test_data/README.md.