Sequence-to-Dependency Neural Machine Translation

  title={Sequence-to-Dependency Neural Machine Translation},
  author={Shuangzhi Wu and Dongdong Zhang and Nan Yang and Mu Li and Ming Zhou},
Nowadays a typical Neural Machine Translation (NMT) model generates translations from left to right as a linear sequence, during which latent syntactic structures of the target sentences are not explicitly concerned. Inspired by the success of using syntactic knowledge of target language for improving statistical machine translation, in this paper we propose a novel Sequence-to-Dependency Neural Machine Translation (SD-NMT) method, in which the target word sequence and its corresponding… CONTINUE READING
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