Deep linguistic multilingual translation and bilingual dictionaries

  • Authors:
  • Eric Wehrli;Luka Nerima;Yves Scherrer

  • Affiliations:
  • University of Geneva;University of Geneva;University of Geneva

  • Venue:
  • StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
  • Year:
  • 2009

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Abstract

This paper describes the MulTra project, aiming at the development of an efficient multilingual translation technology based on an abstract and generic linguistic model as well as on object-oriented software design. In particular, we will address the issue of the rapid growth both of the transfer modules and of the bilingual databases. For the latter, we will show that a significant part of bilingual lexical databases can be derived automatically through transitivity, with corpus validation.