Using Discourse Structure Improves Machine Translation Evaluation

Francisco Guzmán, Shafiq Joty, Lluís Màrquez, Preslav Nakov


Anthology ID:
P14-1065
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
687–698
Language:
URL:
https://aclanthology.org/P14-1065
DOI:
10.3115/v1/P14-1065
Bibkey:
Cite (ACL):
Francisco Guzmán, Shafiq Joty, Lluís Màrquez, and Preslav Nakov. 2014. Using Discourse Structure Improves Machine Translation Evaluation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 687–698, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Using Discourse Structure Improves Machine Translation Evaluation (Guzmán et al., ACL 2014)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/P14-1065.pdf