Six Challenges for Neural Machine Translation
arXiv:1706.03872
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.
12 pages; First Workshop on Neural Machine Translation, 2017