A Clustered Global Phrase Reordering Model for Statistical Machine Translation

@inproceedings{Nagata2006ACG,
  title={A Clustered Global Phrase Reordering Model for Statistical Machine Translation},
  author={Masaaki Nagata and Kuniko Saito and Kazuhide Yamamoto and Kazuteru Ohashi},
  booktitle={ACL},
  year={2006}
}
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering models that emphasize the reordering of adjacent phrase pairs (Till-mann and Zhang, 2005), our model explicitly models the reordering of long distances by directly estimating the parameters from the phrase alignments of bilingual training sentences. In principle, the global phrase reordering model is conditioned on the… CONTINUE READING

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