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

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://preview.aclanthology.org/icon-24-ingestion/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)
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PDF:: https://preview.aclanthology.org/icon-24-ingestion/N07-1006.pdf