Khuyagbaatar Batsuren


2019

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CogNet: A Large-Scale Cognate Database
Khuyagbaatar Batsuren | Gabor Bella | Fausto Giunchiglia
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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.

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Aligning the IndoWordNet with the Princeton WordNet
Nandu Chandran Nair | Rajendran Sankara Velayuthan | Khuyagbaatar Batsuren
Proceedings of the 3rd International Conference on Natural Language and Speech Processing