Enlarged search space for SITG parsing

  • Authors:
  • Guillem Gascó;Joan-Andreu Sánchez;José-Miguel Benedí

  • Affiliations:
  • Universitat Politècnica de València, València, Spain;Universitat Politècnica de València, València, Spain;Universitat Politècnica de València, València, Spain

  • Venue:
  • HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  • Year:
  • 2010

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Abstract

Stochastic Inversion Transduction Grammars constitute a powerful formalism in Machine Translation for which an efficient Dynamic Programming parsing algorithm exists. In this work, we review this parsing algorithm and propose important modifications that enlarge the search space. These modifications allow the parsing algorithm to search for more and better solutions.