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
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
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.