What can syntax-based MT learn from phrase-based MT

What can syntax-based MT learn from phrase-based MT (2007)

by Steve Deneefe , Kevin Knight , Wei Wang , Daniel Marcu

Venue:	In Proc. EMNLP-CoNLL
Citations:	24 - 6 self

Datum	Value	Source
TITLE	What can syntax-based MT learn from phrase-based MT	INFERENCE
AUTHOR NAME	Steve Deneefe	SVM HeaderParse 0.2
AUTHOR ADDR	Marina del Rey, CA 90292	SVM HeaderParse 0.2
AUTHOR NAME	Kevin Knight	SVM HeaderParse 0.2
AUTHOR ADDR	Marina del Rey, CA 90292	SVM HeaderParse 0.2
AUTHOR NAME	Wei Wang	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	Marina del Rey, CA 90292; 4676 Admiralty Way, Suite 1001	SVM HeaderParse 0.2
AUTHOR NAME	Daniel Marcu	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	Marina del Rey, CA 90292; 4676 Admiralty Way, Suite 1001	SVM HeaderParse 0.2
ABSTRACT	We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly describe each model, highlighting points where they differ. We include a quantitative comparison of the phrase pairs that each model has to work with, as well as the reasons why some phrase pairs are not learned by the syntax-based model. We then evaluate proposed improvements to the syntax-based extraction techniques in light of phrase pairs captured. We also compare the translation accuracy for all variations. 1	SVM HeaderParse 0.2
YEAR	2007	INFERENCE
VENUE	In Proc. EMNLP-CoNLL	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	23 found	ParsCit 1.0