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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 <https://docs.cltk.org/en/latest/installation.html>_ or, to install from source, Development <https://docs.cltk.org/en/latest/development.html>_.

Pre-1.0 software remains available on the branch v0.1.x <https://github.com/cltk/cltk/tree/v0.1.x>_ and docs at <https://legacy.cltk.org>_. Install it with pip install "cltk<1.0".

Documentation

Documentation at <https://docs.cltk.org>_.

Citation

When using the CLTK, please cite the following publication <https://aclanthology.org/2021.acl-demo.3>_, 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 <https://github.com/cltk/cltk/blob/master/LICENSE>_.