Dependency treelet translation: the convergence of statistical and example-based machine-translation?

@article{Quirk2006DependencyTT,
  title={Dependency treelet translation: the convergence of statistical and example-based machine-translation?},
  author={Chris Quirk and Arul Menezes},
  journal={Machine Translation},
  year={2006},
  volume={20},
  pages={43-65}
}
We describe a novel approach to MT that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed decoder and reordering model based on the source dependency tree, in combination with conventional SMT models to incorporate the power of phrasal SMT with the linguistic generality available in a parser. We show that this approach significantly outperforms a leading string-based Phrasal SMT decoder and an EBMT system. We present results… CONTINUE READING
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