A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output

Hyun Kim, Jong-Hyeok Lee


Anthology ID:
N16-1059
Volume:
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2016
Address:
San Diego, California
Editors:
Kevin Knight, Ani Nenkova, Owen Rambow
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
494–498
Language:
URL:
https://aclanthology.org/N16-1059
DOI:
10.18653/v1/N16-1059
Bibkey:
Cite (ACL):
Hyun Kim and Jong-Hyeok Lee. 2016. A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 494–498, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output (Kim & Lee, NAACL 2016)
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PDF:
https://aclanthology.org/N16-1059.pdf