Inducing a Discriminative Parser to Optimize Machine Translation Reordering

  title={Inducing a Discriminative Parser to Optimize Machine Translation Reordering},
  author={Graham Neubig and Taro Watanabe and Shinsuke Mori},
This paper proposes a method for learning a discriminative parser for machine translation reordering using only aligned parallel text. This is done by treating the parser’s derivation tree as a latent variable in a model that is trained to maximize reordering accuracy. We demonstrate that efficient large-margin training is possible by showing that two measures of reordering accuracy can be factored over the parse tree. Using this model in the pre-ordering framework results in significant gains… CONTINUE READING
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