Abstract
This paper proposes a method for a machine translation (MT) system to automatically select and learn translation words, which suit the user’s tastes or document fields by using a monolingual corpus manually compiled by the user, in order to achieve high-quality translation. We have constructed a system based on this method and carried out experiments to prove the validity of the proposed method.- Anthology ID:
- 2005.mtsummit-papers.5
- Volume:
- Proceedings of Machine Translation Summit X: Papers
- Month:
- September 13-15
- Year:
- 2005
- Address:
- Phuket, Thailand
- Venue:
- MTSummit
- SIG:
- Publisher:
- Note:
- Pages:
- 33–40
- Language:
- URL:
- https://aclanthology.org/2005.mtsummit-papers.5
- DOI:
- Cite (ACL):
- Hirokazu Suzuki and Akira Kumano. 2005. Learning Translations from Monolingual Corpora. In Proceedings of Machine Translation Summit X: Papers, pages 33–40, Phuket, Thailand.
- Cite (Informal):
- Learning Translations from Monolingual Corpora (Suzuki & Kumano, MTSummit 2005)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2005.mtsummit-papers.5.pdf