Syntactic Re-Alignment Models for Machine Translation

@inproceedings{May2007SyntacticRM,
  title={Syntactic Re-Alignment Models for Machine Translation},
  author={Jonathan May and Kevin Knight},
  booktitle={EMNLP-CoNLL},
  year={2007}
}
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation model than commonly-used word alignment models. This leads to extraction of more useful linguistic patterns and improved BLEU scores on translation experiments in Chinese and Arabic. 1 Methods of statistical MT Roughly speaking, there are two paths commonly taken in statistical machine translation (Figure 1). The… CONTINUE READING
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