Precision and recall of machine translation

  • Authors:
  • I. Dan Melamed;Ryan Green;Joseph P. Turian

  • Affiliations:
  • New York University;New York University;New York University

  • Venue:
  • NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
  • Year:
  • 2003

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Abstract

Machine translation can be evaluated using precision, recall, and the F-measure. These standard measures have significantly higher correlation with human judgments than recently proposed alternatives. More importantly, the standard measures have an intuitive interpretation, which can facilitate insights into how MT systems might be improved. The relevant software is publicly available.