First steps towards multi-engine machine translation

  • Authors:
  • Andreas Eisele

  • Affiliations:
  • Saarland University, Saarbrücken, Germany

  • Venue:
  • ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
  • Year:
  • 2005

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Abstract

We motivate our contribution to the shared MT task as a first step towards an integrated architecture that combines advantages of statistical and knowledge-based approaches. Translations were generated using the Pharaoh decoder with tables derived from the provided alignments for all four languages, and for three of them using web-based and locally installed commercial systems. We then applied statistical and heuristic algorithms to select the most promising translation out of each set of candidates obtained from a source sentence. Results and possible refinements are discussed.