Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto-Indo-European

Frederik Hartmann. Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto-Indo-European. In Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu, editors, Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, LChange@ACL 2019, Florence, Italy, August 2, 2019. pages 98-108, Association for Computational Linguistics, 2019. [doi]

Abstract

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