Compositions of top-down tree transducers with ε-rules

  • Authors:
  • Andreas Maletti;Heiko Vogler

  • Affiliations:
  • Universitat Rovira i Virgili, Departament de Filologies Romàniques, Tarragona, Spain;Technische Universität Dresden, Faculty of Computer Science, Dresden, Germany

  • Venue:
  • FSMNLP'09 Proceedings of the 8th international conference on Finite-state methods and natural language processing
  • Year:
  • 2009

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Abstract

Top-down tree transducers with ε-rules (etdtts) are a restricted version of extended top-down tree transducers. They are implemented in the framework TIBURON and fulfill some criteria desirable in a machine translation model. However, they compute a class of transformations that is not closed under composition (not even for linear and nondeleting etdtts). A composition construction that composes two εtdtts M and N is presented, and it is shown that the construction is correct, whenever (i) N is linear, (ii) M is total or N is nondeleting, and (iii) M has at most one output symbol in each rule.