Survey: weighted extended top-down tree transducers part iii - composition

  • Authors:
  • Aurélie Lagoutte;Andreas Maletti

  • Affiliations:
  • Département Informatique, École normale supérieure de Cachan, Cachan cedex, France;Institute for Natural Language Processing, Universität Stuttgart, Stuttgart, Germany

  • Venue:
  • Algebraic Foundations in Computer Science
  • Year:
  • 2011

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Abstract

In this survey (functional) compositions of weighted tree transformations computable by weighted extended top-down tree transducers are investigated. The existing results in the literature are explained and illustrated. It is argued, why certain compositions are not possible in the general case, and 3 informed conjectures provide an insight into potentially 3 new composition results that extend and complement the existing results. In particular, if all were true, then the beautiful symmetry in the composition results for weighted top-down and bottom-up tree transducers would be recovered.