Neural Phrase-based Machine Translation

@article{Huang2017NeuralPM,
  title={Neural Phrase-based Machine Translation},
  author={Po-Sen Huang and Chong Wang and Dengyong Zhou and Li Deng},
  journal={CoRR},
  year={2017},
  volume={abs/1706.05565}
}
In this paper, we propose Neural Phrase-based Machine Translation (NPMT). Our method explicitly models the phrase structures in output sequences through Sleep-WAke Networks (SWAN), a recently proposed segmentationbased sequence modeling method. To alleviate the monotonic alignment requirement of SWAN, we introduce a new layer to perform (soft) local reordering of input sequences. Our experiments show that NPMT achieves state-of-the-art results on IWSLT 2014 German-English translation task… CONTINUE READING
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