Neural Machine Translation with Adequacy-Oriented Learning

21 Nov 2018Xiang KongZhaopeng TuShuming ShiEduard HovyTong Zhang

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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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Machine Translation WMT2014 English-German adequacy-oriented NMT BLEU score 28.99 # 13