@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.",
editor = "Ji, Heng and
Park, Jong C. and
Xia, Rui",
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.",
}
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%0 Conference Proceedings
%T The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages
%A Johnson, Kyle P.
%A Burns, Patrick J.
%A Stewart, John
%A Cook, Todd
%A Besnier, Clément
%A Mattingly, William J. B.
%Y Ji, Heng
%Y Park, Jong C.
%Y Xia, Rui
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F johnson-etal-2021-classical
%X 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.
%R 10.18653/v1/2021.acl-demo.3
%U https://aclanthology.org/2021.acl-demo.3
%U https://doi.org/10.18653/v1/2021.acl-demo.3
%P 20-29
Markdown (Informal)
[The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages](https://aclanthology.org/2021.acl-demo.3) (Johnson et al., ACL-IJCNLP 2021)
ACL
- Kyle P. Johnson, Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier, and William J. B. Mattingly. 2021. 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, pages 20–29, Online. Association for Computational Linguistics.