Language and Translation Model Adaptation using Comparable Corpora

  title={Language and Translation Model Adaptation using Comparable Corpora},
  author={Matthew G. Snover and Bonnie J. Dorr and Richard M. Schwartz},
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to generate, monolingual data are relatively common. Yet monolingual data have been under-utilized, having been used primarily for training a language model in the target language. This paper describes a novel method for utilizing monolingual target data to improve the performance of a statistical machine translation system on… CONTINUE READING
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