Maximum Rank Correlation Training for Statistical Machine Translation

@inproceedings{Zheng2011MaximumRC,
  title={Maximum Rank Correlation Training for Statistical Machine Translation},
  author={Daqi Zheng and Yifan He and Yang Liu and Qun Liu},
  year={2011}
}
We propose Maximum Ranking Correlation (MRC) as an objective function in discriminative tuning of parameters in a linear model of Statistical Machine Translation (SMT). We try to maximize the ranking correlation between sentence level BLEU (SBLEU) scores and model scores of the N-best list, while the MERT paradigm focuses on the potential 1best candidates of the N-best list. After we optimize the MER and the MRC objectives using an multiple objective optimization algorithm at the same time, we… CONTINUE READING
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