Do we need phrases? Challenging the conventional wisdom in statistical machine translation

Do we need phrases? Challenging the conventional wisdom in statistical machine translation (2006)

by Chris Quirk , Arul Menezes

Venue:	In NAACL
Citations:	4 - 0 self

Datum	Value	Source
TITLE	Do we need phrases? Challenging the conventional wisdom in statistical machine translation	INFERENCE
AUTHOR NAME	Chris Quirk	SVM HeaderParse 0.2
AUTHOR AFFIL	Microsoft Research; One Microsoft Way	SVM HeaderParse 0.2
AUTHOR ADDR	Redmond, WA 98052 USA	SVM HeaderParse 0.2
AUTHOR NAME	Arul Menezes	SVM HeaderParse 0.2
AUTHOR AFFIL	Microsoft Research; One Microsoft Way	SVM HeaderParse 0.2
AUTHOR ADDR	Redmond, WA 98052 USA	SVM HeaderParse 0.2
ABSTRACT	We begin by exploring theoretical and practical issues with phrasal SMT, several of which are addressed by syntax-based SMT. Next, to address problems not handled by syntax, we propose the concept of a Minimal Translation Unit (MTU) and develop MTU sequence models. Finally we incorporate these models into a syntax-based SMT system and demonstrate that it improves on the state of the art translation quality within a theoretically more desirable framework. 1.	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	In NAACL	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	15 found	ParsCit 1.0