SPMT: Statistical machine translation with syntactified target language phrases

SPMT: Statistical machine translation with syntactified target language phrases (2006)

by Daniel Marcu , Wei Wang , Abdessamad Echihabi , Kevin Knight

Venue:	In EMNLP
Citations:	63 - 6 self

Datum	Value	Source
TITLE	SPMT: Statistical machine translation with syntactified target language phrases	INFERENCE
AUTHOR NAME	Daniel Marcu	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Weaver Inc.	SVM HeaderParse 0.2
AUTHOR ADDR	4640 Admiralty Way, Suite 1210; Marina del Rey, CA 90292	SVM HeaderParse 0.2
AUTHOR NAME	Wei Wang	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Weaver Inc.	SVM HeaderParse 0.2
AUTHOR ADDR	4640 Admiralty Way, Suite 1210; Marina del Rey, CA 90292	SVM HeaderParse 0.2
AUTHOR NAME	Abdessamad Echihabi	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Weaver Inc.	SVM HeaderParse 0.2
AUTHOR ADDR	4640 Admiralty Way, Suite 1210; Marina del Rey, CA 90292	SVM HeaderParse 0.2
AUTHOR NAME	Kevin Knight	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Weaver Inc.	SVM HeaderParse 0.2
AUTHOR ADDR	4640 Admiralty Way, Suite 1210; Marina del Rey, CA 90292	SVM HeaderParse 0.2
ABSTRACT	We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline model by 2.64 Bleu points on the NIST 2003 Chinese-English test corpus and 0.28 points on a humanbased quality metric that ranks translations on a scale from 1 to 5. 1	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	In EMNLP	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	44--52	INFERENCE
CITATIONS	10 found	ParsCit 1.0