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Using regular tree grammars to enhance sentence realisation

Published online by Cambridge University Press:  21 March 2011

CLAIRE GARDENT ,
BENJAMIN GOTTESMAN  and
LAURA PEREZ-BELTRACHINI
CLAIRE GARDENT
Affiliation:
CNRS/LORIA, 615 Rue du jardin botanique, 54600 Villers-lès-Nancy, France email: claire.gardent@loria.fr
BENJAMIN GOTTESMAN
Affiliation:
acrolinx GmbH, Rosenstraße 2, 10178 Berlin, Germany
LAURA PEREZ-BELTRACHINI
Affiliation:
Nancy 1/LORIA, 615 Rue du jardin botanique, 54600 Villers-lès-Nancy, France
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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.

Type
Papers
Information
Natural Language Engineering , Volume 17 , Special Issue 2: Finite-State Methods and Models in Natural Language Processing , April 2011 , pp. 185 - 201
Copyright
Copyright © Cambridge University Press 2011

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