The Candide system for machine translation

  • Authors:
  • Adam L. Berger;Peter F. Brown;Stephen A. Della Pietra;Vincent J. Della Pietra;John R. Gillett;John D. Lafferty;Robert L. Mercer;Harry Printz;Luboš Ureš

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY;Renaissance Technologies, Stony Brook, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;Renaissance Technologies, Stony Brook, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • HLT '94 Proceedings of the workshop on Human Language Technology
  • Year:
  • 1994

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Abstract

We present an overview of Candide, a system for automatic translation of French text to English text. Candide uses methods of information theory and statistics to develop a probability model of the translation process. This model, which is made to accord as closely as possible with a large body of French and English sentence pairs, is then used to generate English translations of previously unseen French sentences. This paper provides a tutorial in these methods, discussions of the training and operation of the system, and a summary of test results.