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            <title>Proceedings of the First Workshop on Neural Machine Translation</title>
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            <namePart type="given">Thang</namePart>
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    <abstract>We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.</abstract>
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%0 Conference Proceedings
%T Six Challenges for Neural Machine Translation
%A Koehn, Philipp
%A Knowles, Rebecca
%Y Luong, Thang
%Y Birch, Alexandra
%Y Neubig, Graham
%Y Finch, Andrew
%S Proceedings of the First Workshop on Neural Machine Translation
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver
%F koehn-knowles-2017-six
%X We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.
%R 10.18653/v1/W17-3204
%U https://aclanthology.org/W17-3204
%U https://doi.org/10.18653/v1/W17-3204
%P 28-39

Markdown (Informal)

[Six Challenges for Neural Machine Translation](https://aclanthology.org/W17-3204) (Koehn & Knowles, NGT 2017)

• Six Challenges for Neural Machine Translation (Koehn & Knowles, NGT 2017)

ACL

• Philipp Koehn and Rebecca Knowles. 2017. Six Challenges for Neural Machine Translation. In Proceedings of the First Workshop on Neural Machine Translation, pages 28–39, Vancouver. Association for Computational Linguistics.