Time reduction of stochastic parsing with stochastic context-free grammars

  • Authors:
  • Joan Andreu Sánchez;José Miguel Benedí

  • Affiliations:
  • Depto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Depto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
  • Year:
  • 2005

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Abstract

This paper proposes an approach to reduce the stochastic parsing time with stochastic context-free grammars. The basic idea consists of storing a set of precomputed problems. These precomputed problems are obtained off line from a training corpus or they are computed on line from a test corpus. In this work, experiments with the UPenn Treebank are reported in order to show the performance of both alternatives.