XMEANT: Better semantic MT evaluation without reference translations

@inproceedings{Lo2014XMEANTBS,
  title={XMEANT: Better semantic MT evaluation without reference translations},
  author={Chi-kiu Lo and Meriem Beloucif and Markus Saers and Dekai Wu},
  booktitle={ACL},
  year={2014}
}
We introduce XMEANT—a new cross-lingual version of the semantic frame based MT evaluation metric MEANT—which can correlate even more closely with human adequacy judgments than monolingual MEANT and eliminates the need for expensive human references. Previous work established that MEANT reflects translation adequacy with state-of-the-art accuracy, and optimizing MT systems against MEANT robustly improves translation quality. However, to go beyond tuning weights in the loglinear SMT model, a… CONTINUE READING
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