PRHLT submission to the WMT12 quality estimation task

  • Authors:
  • Jesús González Rubio;Alberto Sanchis;Francisco Casacuberta

  • Affiliations:
  • Universitat Politècnica de València, Valencia, Spain;Universitat Politècnica de València, Valencia, Spain;Universitat Politècnica de València, Valencia, Spain

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

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Abstract

This is a description of the submissions made by the pattern recognition and human language technology group (PRHLT) of the Universitat Politècnica de València to the quality estimation task of the seventh workshop on statistical machine translation (WMT12). We focus on two different issues: how to effectively combine subsequence-level features into sentence-level features, and how to select the most adequate subset of features. Results showed that an adequate selection of a subset of highly discriminative features can improve efficiency and performance of the quality estimation system.