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%0 Conference Proceedings
%T A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
%A Kim, Hyun
%A Lee, Jong-Hyeok
%Y Knight, Kevin
%Y Nenkova, Ani
%Y Rambow, Owen
%S Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F kim-lee-2016-recurrent
%R 10.18653/v1/N16-1059
%U https://aclanthology.org/N16-1059
%U https://doi.org/10.18653/v1/N16-1059
%P 494-498

Markdown (Informal)

[A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output](https://aclanthology.org/N16-1059) (Kim & Lee, NAACL 2016)

• A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output (Kim & Lee, NAACL 2016)

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.