RegMT System for Machine Translation, System Combination, and Evaluation

@inproceedings{Biici2011RegMTSF,
  title={RegMT System for Machine Translation, System Combination, and Evaluation},
  author={Ergun Biçici and Deniz Yuret},
  booktitle={WMT@EMNLP},
  year={2011}
}
We present the results we obtain using our RegMT system, which uses transductive regression techniques to learn mappings between source and target features of given parallel corpora and use these mappings to generate machine translation outputs. Our training instance selection methods perform feature decay for proper selection of training instances, which plays an important role to learn correct feature mappings. RegMT uses L2 regularized regression as well as L1 regularized regression for… CONTINUE READING
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