Word Rewarding for Adequate Neural Machine Translation

no code implementations • IWSLT (EMNLP) 2018 • Yuto Takebayashi, Chu Chenhui, Yuki Arase†, Masaaki Nagata

To improve the translation adequacy in neural machine translation (NMT), we propose a rewarding model with target word prediction using bilingual dictionaries inspired by the success of decoder constraints in statistical machine translation.

Machine Translation NMT +1