Wider Context by Using Bilingual Language Models in Machine Translation

  title={Wider Context by Using Bilingual Language Models in Machine Translation},
  author={Jan Niehues and Teresa Herrmann and Stephan Vogel and Alexander H. Waibel},
In past Evaluations for Machine Translation of European Languages, it could be shown that the translation performance of SMT systems can be increased by integrating a bilingual language model into a phrase-based SMT system. In the bilingual language model, target words with their aligned source words build the tokens of an n-gram based language model. We analyzed the effect of bilingual language models and show where they could help to better model the translation process. We could show… CONTINUE READING
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