Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings

Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, Kanako Komiya


Anthology ID:
2020.paclic-1.61
Volume:
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2020
Address:
Hanoi, Vietnam
Editors:
Minh Le Nguyen, Mai Chi Luong, Sanghoun Song
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
534–541
Language:
URL:
https://aclanthology.org/2020.paclic-1.61
DOI:
Bibkey:
Cite (ACL):
Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, and Kanako Komiya. 2020. Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 534–541, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings (Takaku et al., PACLIC 2020)
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PDF:
https://aclanthology.org/2020.paclic-1.61.pdf