Rule filtering by pattern for efficient hierarchical translation

Rule filtering by pattern for efficient hierarchical translation (2009)

by Gonzalo Iglesias , Adrià Gispert

Venue:	In Proceedings of the EACL
Citations:	6 - 1 self

Datum	Value	Source
TITLE	Rule filtering by pattern for efficient hierarchical translation	INFERENCE
AUTHOR NAME	Gonzalo Iglesias	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Vigo. Dept. of Signal Processing and Communications	SVM HeaderParse 0.2
AUTHOR ADDR	Vigo, Spain	SVM HeaderParse 0.2
AUTHOR NAME	Adrià Gispert	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Vigo. Dept. of Signal Processing and Communications	SVM HeaderParse 0.2
AUTHOR ADDR	Vigo, Spain	SVM HeaderParse 0.2
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. 1	SVM HeaderParse 0.2
YEAR	2009	INFERENCE
VENUE	In Proceedings of the EACL	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	380--388	INFERENCE
CITATIONS	28 found	ParsCit 1.0