MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation

@inproceedings{Chan2008MAXSIMAM,
  title={MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation},
  author={Yee Seng Chan and Hwee Tou Ng},
  booktitle={ACL},
  year={2008}
}
We propose an automatic machine translation (MT) evaluation metric that calculates a similarity score (based on precision and recall) of a pair of sentences. Unlike most metrics, we compute a similarity score between items across the two sentences. We then find a maximum weight matching between the items such that each item in one sentence is mapped to at most one item in the other sentence. This general framework allows us to use arbitrary similarity functions between items, and to incorporate… CONTINUE READING

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