Mixing Multiple Translation Models in Statistical Machine Translation

  title={Mixing Multiple Translation Models in Statistical Machine Translation},
  author={Majid Razmara and George Foster and Baskaran Sankaran and Anoop Sarkar},
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate sentences in a new domain. We propose a novel approach, ensemble decoding, which combines a number of translation systems dynamically at the decoding step. In this paper, we evaluate performance on a domain adaptation setting where we translate sentences from the medical domain. Our experimental results show that… CONTINUE READING
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