Semantic textual similarity for MT evaluation

  • Authors:
  • Julio Castillo;Paula Estrella

  • Affiliations:
  • UTN-FRC, Argentina;FaMAF, UNC, Argentina

  • Venue:
  • WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
  • Year:
  • 2012

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Abstract

This paper describes the system used for our participation in the WMT12 Machine Translation evaluation shared task. We also present a new approach to Machine Translation evaluation based on the recently defined task Semantic Textual Similarity. This problem is addressed using a textual entailment engine entirely based on WordNet semantic features. We described results for the Spanish-English, Czech-English and German-English language pairs according to our submission on the Eight Workshop on Statistical Machine Translation. Our first experiments reports a competitive score to system level.