Prefix probability for probabilistic synchronous context-free grammars

  • Authors:
  • Mark-Jan Nederhof;Giorgio Satta

  • Affiliations:
  • University of St Andrews, North Haugh, St Andrews, Fife, United Kingdom;University of Padua, via Gradenigo, Padova, Italy

  • Venue:
  • HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
  • Year:
  • 2011

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Abstract

We present a method for the computation of prefix probabilities for synchronous context-free grammars. Our framework is fairly general and relies on the combination of a simple, novel grammar transformation and standard techniques to bring grammars into normal forms.