Six Challenges for Neural Machine Translation

06/12/2017

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by   Philipp Koehn, et al.

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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.