cltk
v1.3.0
CLTK (Classical Language Toolkit)는 현대 언어를위한 자연 언어 처리 (NLP)를 제공하는 파이썬 라이브러리입니다.
CLTK의 최신 버전의 경우 :
$ pip install cltk자세한 내용은 설치 문서를 참조하거나 소스에서 설치하려면 개발을 참조하십시오.
Pre-1.0 소프트웨어는 https://legacy.cltk.org의 Branch V0.1.x 및 문서에서 사용할 수 있습니다. pip install "cltk<1.0" 으로 설치하십시오.
https://docs.cltk.org의 문서.
CLTK를 사용할 때는 doi를 포함한 다음 출판물을 인용하십시오.
Johnson, Kyle P., Patrick J. Burns, John Stewart, Todd Cook, Clément Besnier 및 William JB Mattingly. "클래식 언어 툴킷 : 현대 언어를위한 NLP 프레임 워크." 컴퓨터 언어학 협회와 자연 언어 처리에 관한 제 11 회 국제 공동 회의 제 59 차 연례 회의 절차 : 시스템 데모 , pp. 20-29. 2021. 10.18653/V1/2021.ACL-DEMO.3
전체 Bibtex 항목 :
@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. " ,
}MIT 라이센스에 따른 Copyright (C) 2014-2024 Kyle P. Johnson.