Comparing Statistical and Neural Models for Learning Sound Correspondences
LT4HALA 2020: First Workshop on Language Technologies for Historical and Ancient Languages, 2020.
Cognate prediction and proto-form reconstruction are key tasks in computational historical linguistics that rely on the study of sound change regularity. Solving these tasks appears to be very similar to machine translation, though methods from that field have barely been applied to historical linguistics. Therefore, in this paper, we inv...More
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