Cognate Prediction

3 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Comparing Statistical and Neural Models for Learning Sound Correspondences

clefourrier/PLexGen LREC 2020

Cognate prediction and proto-form reconstruction are key tasks in computational historical linguistics that rely on the study of sound change regularity.

Methodological Aspects of Developing and Managing an Etymological Lexical Resource: Introducing EtymDB-2.0

clefourrier/EtymDB LREC 2020

Diachronic lexical information is not only important in the field of historical linguistics, but is also increasingly used in NLP, most recently for machine translation of low resource languages.