Learning to Translate with Multiple Objectives

  title={Learning to Translate with Multiple Objectives},
  author={Kevin Duh and Katsuhito Sudoh and Xianchao Wu and Hajime Tsukada and Masaaki Nagata},
We introduce an approach to optimize a machine translation (MT) system on multiple metrics simultaneously. Different metrics (e.g. BLEU, TER) focus on different aspects of translation quality; our multi-objective approach leverages these diverse aspects to improve overall quality. Our approach is based on the theory of Pareto Optimality. It is simple to implement on top of existing single-objective optimization methods (e.g. MERT, PRO) and outperforms ad hoc alternatives based on linear… CONTINUE READING
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