Learning translations of named-entity phrases from parallel corpora

  • Authors:
  • Robert C. Moore

  • Affiliations:
  • Microsoft Research, Redmond, WA

  • Venue:
  • EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
  • Year:
  • 2003

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Abstract

We develop a new approach to learning phrase translations from parallel corpora, and show that it performs with very high coverage and accuracy in choosing French translations of English named-entity phrases in a test corpus of software manuals. Analysis of a subset of our results suggests that the method should also perform well on more general phrase translation tasks.