Six Challenges for Neural Machine Translation

Authors: Philipp Koehn, Rebecca Knowles - Proceedings of the First Workshop on Neural Machine Translation 2017 cited by 206

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 phrasebased statistical machine translation.