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
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 534–541
- Language:
- URL:
- https://aclanthology.org/2020.paclic-1.61
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.paclic-1.61.pdf