cltk

La boîte à outils de langue classique (CLTK) est une bibliothèque Python offrant un traitement de langue naturelle (NLP) pour les langues pré-modernes.

Installation

Pour la dernière version du CLTK:

$ pip install cltk

Pour plus d'informations, voir les documents d'installation ou, pour installer à partir de la source, le développement.

Le logiciel pré-1.0 reste disponible sur la branche v0.1.x et les documents sur https://legacy.cltk.org. Installez-le avec pip install "cltk<1.0" .

Documentation

Documentation sur https://docs.cltk.org.

Citation

Lorsque vous utilisez le CLTK, veuillez citer la publication suivante, y compris le doi:

Johnson, Kyle P., Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier et William JB Mattingly. "La boîte à outils de langue classique: un cadre NLP pour les langues pré-modernes." Dans les actes de la 59e réunion annuelle de l'Association de linguistique informatique et de la 11e Conférence conjointe internationale sur le traitement du langage naturel: démonstrations système , pp. 20-29. 2021. 10.18653 / V1 / 2021.ACl-Demo.3

L'entrée Bibtex complète:

 @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. " ,
}

Licence

Copyright (C) 2014-2024 Kyle P. Johnson sous la licence du MIT.