CogNet: A Large-Scale Cognate Database

Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia


Abstract
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, it presents statistics about the cognate data and some initial insights into it, hinting at a possible future exploitation of the resource by various fields of lingustics.
Anthology ID:
P19-1302
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3136–3145
Language:
URL:
https://www.aclweb.org/anthology/P19-1302
DOI:
10.18653/v1/P19-1302
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/P19-1302.pdf
Software:
 P19-1302.Software.zip