Rule filtering by pattern for efficient hierarchical translation

  • Authors:
  • Gonzalo Iglesias;Adrià de Gispert;Eduardo R. Banga;William Byrne

  • Affiliations:
  • University of Vigo, Vigo, Spain;University of Cambridge, Cambridge, U.K.;University of Vigo, Vigo, Spain;University of Cambridge, Cambridge, U.K.

  • Venue:
  • EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe refinements to hierarchical translation search procedures intended to reduce both search errors and memory usage through modifications to hypothesis expansion in cube pruning and reductions in the size of the rule sets used in translation. Rules are put into syntactic classes based on the number of non-terminals and the pattern, and various filtering strategies are then applied to assess the impact on translation speed and quality. Results are reported on the 2008 NIST Arabic-to-English evaluation task.