Learning Translations from Monolingual Corpora

Hirokazu Suzuki, Akira Kumano


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:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/2005.mtsummit-papers.5.pdf