CogNet: a Large-Scale Cognate Database

被引：0
|
作者：
Batsuren, Khuyagbaatar [1 ]
Bella, Gabor [1 ]
Giunchiglia, Fausto [1 ,2 ]
机构：
[1] Univ Trento, DISI, Trento, Italy
[2] Jilin Univ, Changchun, Jilin, Peoples R China
来源：
57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019) | 2019年
基金：
欧盟地平线“2020”;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces CogNet, a new, large-scale lexical database that provides cognates-words of common origin and meaning-across languages. The database currently contains 3.1 million cognate pairs across 338 languages using 35 writing systems. The paper also describes the automated method by which cognates were computed from publicly available wordnets, with an accuracy evaluated to 94%. Finally, statistics and early insights about the cognate data are presented, hinting at a possible future exploitation of the resource' by various fields of lingustics.
引用
收藏
页码：3136 / 3145
页数：10
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