Towards a token-by-token whole-spectrum approach to sound change using deep learning: A case study of Khmer coda palatalization - ACL Anthology

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Towards a token-by-token whole-spectrum approach to sound change using deep learning: A case study of Khmer coda palatalization

Sothornin Mam, Francesco Burroni, Sireemas Maspong

Anthology ID:: 2024.paclic-1.120
Volume:: Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:: December
Year:: 2024
Address:: Tokyo, Japan
Editors:: Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:: PACLIC
SIG:
Publisher:: Tokyo University of Foreign Studies
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Pages:: 1243–1250
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URL:: https://preview.aclanthology.org/info-author-pages/2024.paclic-1.120/
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Cite (ACL):: Sothornin Mam, Francesco Burroni, and Sireemas Maspong. 2024. Towards a token-by-token whole-spectrum approach to sound change using deep learning: A case study of Khmer coda palatalization. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 1243–1250, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):: Towards a token-by-token whole-spectrum approach to sound change using deep learning: A case study of Khmer coda palatalization (Mam et al., PACLIC 2024)
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PDF:: https://preview.aclanthology.org/info-author-pages/2024.paclic-1.120.pdf

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