Scaling phrase-based statistical machine translation to larger corpora and longer phrases

Scaling phrase-based statistical machine translation to larger corpora and longer phrases (2005)

by Chris Callison-burch , Colin Bannard

Venue:	In Proceedings of ACL
Citations:	20 - 6 self

Datum	Value	Source
TITLE	Scaling phrase-based statistical machine translation to larger corpora and longer phrases	INFERENCE
AUTHOR NAME	Chris Callison-burch	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Edinburgh	SVM HeaderParse 0.2
AUTHOR ADDR	2 Buccleuch Place; Edinburgh EH8 9LW	SVM HeaderParse 0.2
AUTHOR NAME	Colin Bannard	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Edinburgh	SVM HeaderParse 0.2
AUTHOR ADDR	2 Buccleuch Place; Edinburgh EH8 9LW	SVM HeaderParse 0.2
ABSTRACT	In this paper we describe a novel data structure for phrase-based statistical machine translation which allows for the retrieval of arbitrarily long phrases while simultaneously using less memory than is required by current decoder implementations. We detail the computational complexity and average retrieval times for looking up phrase translations in our suffix array-based data structure. We show how sampling can be used to reduce the retrieval time by orders of magnitude with no loss in translation quality. 1	SVM HeaderParse 0.2
YEAR	2005	INFERENCE
VENUE	In Proceedings of ACL	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	255--262	INFERENCE
CITATIONS	11 found	ParsCit 1.0