Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation

Ding Liu, Daniel Gildea


Anthology ID:
N07-1006
Volume:
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
Month:
April
Year:
2007
Address:
Rochester, New York
Editors:
Candace Sidner, Tanja Schultz, Matthew Stone, ChengXiang Zhai
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
41–48
Language:
URL:
https://aclanthology.org/N07-1006
DOI:
Bibkey:
Cite (ACL):
Ding Liu and Daniel Gildea. 2007. Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 41–48, Rochester, New York. Association for Computational Linguistics.
Cite (Informal):
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation (Liu & Gildea, NAACL 2007)
Copy Citation:
PDF:
https://aclanthology.org/N07-1006.pdf