The JHU Machine Translation Systems for WMT 2016

@inproceedings{Ding2016TheJM,
  title={The JHU Machine Translation Systems for WMT 2016},
  author={Shuoyang Ding and Kevin Duh and Huda Khayrallah and Philipp Koehn and Matt Post},
  booktitle={WMT},
  year={2016}
}
This paper describes the submission of Johns Hopkins University for the shared translation task of ACL 2016 First Conference on Machine Translation (WMT 2016). We set up phrase-based, hierarchical phrase-based and syntax-based systems for all 12 language pairs of this year’s evaluation campaign. Novel research directions we investigated include: neural probabilistic language models, bilingual neural network language models, morphological segmentation, and the attentionbased neural machine… CONTINUE READING

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