cltk

O Kit de ferramentas de linguagem clássica (CLTK) é uma biblioteca Python que oferece processamento de linguagem natural (PNL) para idiomas pré-modernos.

Instalação

Para a versão mais recente do CLTK:

$ pip install cltk

Para obter mais informações, consulte Docs de instalação ou, para instalar da fonte, desenvolvimento.

O software pré-1.0 permanece disponível no ramo v0.1.x e docs em https://legacy.cltk.org. Instale -o com pip install "cltk<1.0" .

Documentação

Documentação em https://docs.cltk.org.

Citação

Ao usar o CLTK, cite a seguinte publicação, incluindo o DOI:

Johnson, Kyle P., Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier e William JB Mattingly. "O kit de ferramentas de linguagem clássica: uma estrutura de NLP para idiomas pré-modernos". Em Anais da 59ª Reunião Anual da Associação de Linguística Computacional e da 11ª Conferência Conjunta Internacional sobre Processamento de Linguagem Natural: Demonstrações do Sistema , pp. 20-29. 2021. 10.18653/v1/2021.acl-demo.3

A entrada completa do 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. " ,
}

Licença

Copyright (c) 2014-2024 Kyle P. Johnson sob a licença do MIT.