MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric

@inproceedings{Lo2013MEANTAW,
  title={MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric},
  author={Chi-kiu Lo and Dekai Wu},
  booktitle={WMT@ACL},
  year={2013}
}
The linguistically transparentMEANT and UMEANT metrics are tunable, simple yet highly effective, fully automatic approximation to the human HMEANT MT evaluation metric which measures semantic frame similarity between MT output and reference translations. In this paper, we describe HKUST’s submission to the WMT 2013 metrics evaluation task, MEANT and UMEANT. MEANT is optimized by tuning a small number of weights—one for each semantic role label—so as to maximize correlation with human adequacy… CONTINUE READING
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