Parsing algorithms based on tree automata

  • Authors:
  • Andreas Maletti;Giorgio Satta

  • Affiliations:
  • Universitat Rovira i Virgili, Tarragona, Spain;University of Padua, Italy

  • Venue:
  • IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
  • Year:
  • 2009

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Abstract

We investigate several algorithms related to the parsing problem for weighted automata, under the assumption that the input is a string rather than a tree. This assumption is motivated by several natural language processing applications. We provide algorithms for the computation of parse-forests, best tree probability, inside probability (called partition function), and prefix probability. Our algorithms are obtained by extending to weighted tree automata the Bar-Hillel technique, as defined for context-free grammars.