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arxiv:1706.03872
Six Challenges for Neural Machine Translation
Published on Jun 12, 2017
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Abstract
Neural machine translation faces six key challenges—domain mismatch, training data quantity, rare words, long sentences, word alignment, and beam search—showing both limitations and enhancements compared to phrase-based statistical machine translation.
AI-generated summary
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.
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