Composing extended top-down tree transducers

  • Authors:
  • Aurélie Lagoutte;Fabienne Braune;Daniel Quernheim;Andreas Maletti

  • Affiliations:
  • École normale supérieure de Cachan;University of Stuttgart, Institute for Natural Language Processing;University of Stuttgart, Institute for Natural Language Processing;University of Stuttgart, Institute for Natural Language Processing

  • Venue:
  • EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2012

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Abstract

A composition procedure for linear and nondeleting extended top-down tree transducers is presented. It is demonstrated that the new procedure is more widely applicable than the existing methods. In general, the result of the composition is an extended top-down tree transducer that is no longer linear or nondeleting, but in a number of cases these properties can easily be recovered by a post-processing step.