Using regular tree grammars to enhance sentence realisation

  • Authors:
  • Claire Gardent;Benjamin Gottesman;Laura Perez-beltrachini

  • Affiliations:
  • Cnrs/loria, 615 rue du jardin botanique, 54600 villers-l??s-nancy, france email: claire.gardent@loria.fr;Acrolinx gmbh, rosenstra??e 2, 10178 berlin, germany;Nancy 1/loria, 615 rue du jardin botanique, 54600 villers-l??s-nancy, france

  • Venue:
  • Natural Language Engineering
  • Year:
  • 2011

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Abstract

Feature-based regular tree grammars (FRTG) can be used to generate the derivation trees of a feature-based tree adjoining grammar (FTAG). We make use of this fact to specify and implement both an FTAG-based sentence realiser and a benchmark generator for this realiser. We argue furthermore that the FRTG encoding enables us to improve on other proposals based on a grammar of TAG derivation trees in several ways. It preserves the compositional semantics that can be encoded in feature-based TAGs; it increases efficiency and restricts overgeneration; and it provides a uniform resource for generation, benchmark construction and parsing.