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The Classical Language Toolkit
https://github.com/cltk/cltk

ai greek historical-linguistics latin ling nlp nltk python spacy stanza

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The Classical Language Toolkit

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The Classical Language Toolkit (CLTK) is a Python library offering natural language processing (NLP) for pre-modern languages.

Installation
============

For the CLTK's latest version:

.. code-block:: bash

$ pip install cltk

For more information, see `Installation docs `_ or, to install from source, `Development `_.

Pre-1.0 software remains available on the `branch v0.1.x `_ and docs at ``_. Install it with ``pip install "cltk<1.0"``.

Documentation
=============

Documentation at ``_.

Citation
========

When using the CLTK, please cite `the following publication `_, including the DOI:

Johnson, Kyle P., Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier, and William J. B. Mattingly. "The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages." In *Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*, pp. 20-29. 2021. 10.18653/v1/2021.acl-demo.3

The complete BibTeX entry:

.. code-block:: bibtex

@inproceedings{johnson-etal-2021-classical,
title = "The {C}lassical {L}anguage {T}oolkit: {A}n {NLP} Framework for Pre-Modern Languages",
author = "Johnson, Kyle P. and
Burns, Patrick J. and
Stewart, John and
Cook, Todd and
Besnier, Cl{\'e}ment and
Mattingly, William J. B.",
booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.acl-demo.3",
doi = "10.18653/v1/2021.acl-demo.3",
pages = "20--29",
abstract = "This paper announces version 1.0 of the Classical Language Toolkit (CLTK), an NLP framework for pre-modern languages. The vast majority of NLP, its algorithms and software, is created with assumptions particular to living languages, thus neglecting certain important characteristics of largely non-spoken historical languages. Further, scholars of pre-modern languages often have different goals than those of living-language researchers. To fill this void, the CLTK adapts ideas from several leading NLP frameworks to create a novel software architecture that satisfies the unique needs of pre-modern languages and their researchers. Its centerpiece is a modular processing pipeline that balances the competing demands of algorithmic diversity with pre-configured defaults. The CLTK currently provides pipelines, including models, for almost 20 languages.",
}

License
=======

.. |year| date:: %Y

Copyright (c) 2014-|year| Kyle P. Johnson under the `MIT License `_.