Neural Machine Translation with Adequacy-Oriented Learning

Xiang KongZhaopeng TuShuming ShiEduard HovyTong Zhang

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Although Neural Machine Translation (NMT) models have advanced state-of-the-art performance in machine translation, they face problems like the inadequate translation. We attribute this to that the standard Maximum Likelihood Estimation (MLE) cannot judge the real translation quality due to its several limitations... (read more)

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