cltk

古典語言工具包（CLTK）是一個Python庫，可為前現代語言提供自然語言處理（NLP）。

安裝

對於CLTK的最新版本：

$ pip install cltk

有關更多信息，請參見安裝文檔，或從源來開發中安裝。

PER-1.0軟件在分支V0.1.x和Docs上保留，網址為https://legacy.cltk.org。使用pip install "cltk<1.0" 。

文件

https://docs.cltk.org的文檔。

引用

使用CLTK時，請引用以下出版物，包括DOI：

約翰遜（Johnson），凱爾（Kyle P.），帕特里克·J·伯恩斯（Patrick J. “古典語言工具包：前現代語言的NLP框架。”在計算語言學協會第59屆年會和第11屆國際自然語言處理聯合會議的會議錄中：系統演示，第20-29頁。 2021。10.18653/v1/2021.acl-demo.3

完整的Bibtex條目：

 @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. " ,
}

執照

版權（C）2014-2024凱爾·約翰遜（Kyle P. Johnson）在麻省理工學院許可下。