Vector Space Model for Adaptation in Statistical Machine Translation

@inproceedings{Chen2013VectorSM,
  title={Vector Space Model for Adaptation in Statistical Machine Translation},
  author={Boxing Chen and Roland Kuhn and George F. Foster},
  booktitle={ACL},
  year={2013}
}

• Boxing Chen, Roland Kuhn, George F. Foster
• Published 2013 in ACL

This paper proposes a new approach to domain adaptation in statistical machine translation (SMT) based on a vector space model (VSM). The general idea is first to create a vector profile for the in-domain development (“dev”) set. This profile might, for instance, be a vector with a dimensionality equal to the number of training subcorpora; each entry in the vector reflects the contribution of a particular subcorpus to all the phrase pairs that can be extracted from the dev set. Then, for each… CONTINUE READING

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