Phrase Pair Rescoring with Term Weighting for Statistical Machine Translatio

@inproceedings{Zhao2004PhrasePR,
  title={Phrase Pair Rescoring with Term Weighting for Statistical Machine Translatio},
  author={Bing Zhao and Stephan Vogel and Matthias Eck and Alexander H. Waibel},
  booktitle={EMNLP},
  year={2004}
}
We propose to score phrase translation pairs for statistical machine translation using term weight based models. These models employ tf.idf to encode the weights of content and non-content words in phrase translation pairs. The translation probability is then modeled by similarity functions defined in a vector space. Two similarity functions are compared. Using these models in a statistical machine translation task shows significant improvements. 

From This Paper

Topics from this paper.

Similar Papers

Loading similar papers…