Improving Statistical MT through Morphological Analysis

@inproceedings{Goldwater2005ImprovingSM,
  title={Improving Statistical MT through Morphological Analysis},
  author={Sharon Goldwater and David McClosky},
  booktitle={HLT},
  year={2005}
}
In statistical machine translation, estimating word-to-word alignment probabilities for the translation model can be difficult due to the problem of sparse data: most words in a given corpus occur at most a handful of times. With a highly inflected language such as Czech, this problem can be particularly severe. In addition, much of the morphological variation seen in Czech words is not reflected in either the morphology or syntax of a language like English. In this work, we show that using… 

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