cltk

El kit de herramientas de idioma clásico (CLTK) es una biblioteca de Python que ofrece procesamiento del lenguaje natural (PNL) para idiomas premodernos.

Instalación

Para la última versión del CLTK:

$ pip install cltk

Para obtener más información, consulte los documentos de instalación o, para instalar desde la fuente, el desarrollo.

El software anterior a 1.0 permanece disponible en la rama v0.1.x y documentos en https://legacy.cltk.org. Instálelo con pip install "cltk<1.0" .

Documentación

Documentación en https://docs.cltk.org.

Citación

Cuando use el CLTK, cite la siguiente publicación, incluido el DOI:

Johnson, Kyle P., Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier y William JB Mattingly. "El kit de herramientas de idioma clásico: un marco NLP para idiomas premodernos". En Actas de la 59ª Reunión Anual de la Asociación de Lingüística Computacional y la 11ª Conferencia Internacional Conjunta sobre Procesamiento del Lenguaje Natural: Demostraciones del Sistema , pp. 20-29. 2021. 10.18653/v1/2021.acl-demo.3

La entrada completa de 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. " ,
}

Licencia

Copyright (c) 2014-2024 Kyle P. Johnson bajo la licencia MIT.