Skip to main content

PyLangAcq: Language Acquisition Research in Python

Project description

Full documentation: https://pylangacq.org


PyPI version Supported Python versions CircleCI Builds

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, technical consulting and training services are available. 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.

Changelog

Please see CHANGELOG.md.

Setting up a Development Environment

The latest code under development is available on Github at jacksonllee/pylangacq. To obtain this version for experimental features or for development:

$ git clone https://github.com/jacksonllee/pylangacq.git
$ cd pylangacq
$ pip install -r dev-requirements.txt
$ pip install -e .

To run tests and styling checks:

$ pytest -vv --doctest-modules --cov=pylangacq pylangacq docs/source
$ flake8 pylangacq
$ black --check pylangacq

To build the documentation website files:

$ python docs/source/build_docs.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pylangacq-0.13.3.tar.gz (63.9 kB view details)

Uploaded Source

Built Distribution

pylangacq-0.13.3-py3-none-any.whl (67.7 kB view details)

Uploaded Python 3

File details

Details for the file pylangacq-0.13.3.tar.gz.

File metadata

  • Download URL: pylangacq-0.13.3.tar.gz
  • Upload date:
  • Size: 63.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.9

File hashes

Hashes for pylangacq-0.13.3.tar.gz
Algorithm Hash digest
SHA256 5ef8e157d8c468439b7ac163e05f733beca2908af17812b707641f7fffae7e40
MD5 34d3f55041f27098cdad413647a17447
BLAKE2b-256 1be68ef7299fd1177c418031e1bd51a6060a2c19837b021d3d0b5348dc829632

See more details on using hashes here.

File details

Details for the file pylangacq-0.13.3-py3-none-any.whl.

File metadata

  • Download URL: pylangacq-0.13.3-py3-none-any.whl
  • Upload date:
  • Size: 67.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.9

File hashes

Hashes for pylangacq-0.13.3-py3-none-any.whl
Algorithm Hash digest
SHA256 59e1d6793cd14ef1471323397cb8caa7c180da5d2d5a459358e06b93542e202e
MD5 ab3a4905c871ed1212e266ef31a18369
BLAKE2b-256 a3bf696bbf6018ec15a418a604348760630480c6762d1541d9f420d683023cac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page