Structured Ramp Loss Minimization for Machine Translation

  title={Structured Ramp Loss Minimization for Machine Translation},
  author={Kevin Gimpel and Noah A. Smith},
This paper seeks to close the gap between training algorithms used in statistical machine translation and machine learning, specifically the framework of empirical risk minimization. We review well-known algorithms, arguing that they do not optimize the loss functions they are assumed to optimize when applied to machine translation. Instead, most have implicit connections to particular forms of ramp loss. We propose to minimize ramp loss directly and present a training algorithm that is easy to… CONTINUE READING
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