Automatic domain recognition for machine translation

Elke D. Lange, Jin Yang


Abstract
This paper describes an ongoing project which has the goal of improving machine translation quality by increasing knowledge about the text to be translated. A basic piece of such knowledge is the domain or subject field of the text. When this is known, it is possible to improve meaning selection appropriate to that domain. Our current effort consists in automating both recognition of the text’s domain and the assignment of domain-specific translations. Results of our implementation show that the approach of using terminology categorization already existing in the machine translation system is very promising.
Anthology ID:
1999.mtsummit-1.95
Volume:
Proceedings of Machine Translation Summit VII
Month:
September 13-17
Year:
1999
Address:
Singapore, Singapore
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
641–645
Language:
URL:
https://aclanthology.org/1999.mtsummit-1.95
DOI:
Bibkey:
Cite (ACL):
Elke D. Lange and Jin Yang. 1999. Automatic domain recognition for machine translation. In Proceedings of Machine Translation Summit VII, pages 641–645, Singapore, Singapore.
Cite (Informal):
Automatic domain recognition for machine translation (Lange & Yang, MTSummit 1999)
Copy Citation:
PDF:
https://aclanthology.org/1999.mtsummit-1.95.pdf