Feature-rich translation by quasi-synchronous lattice parsing

Feature-rich translation by quasi-synchronous lattice parsing (2009)

by Kevin Gimpel , Noah A. Smith

Venue:	In EMNLP
Citations:	4 - 2 self

Datum	Value	Source
TITLE	Feature-rich translation by quasi-synchronous lattice parsing	INFERENCE
AUTHOR NAME	Kevin Gimpel	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Technologies Institute; School of Computer Science; Carnegie Mellon University	SVM HeaderParse 0.2
AUTHOR ADDR	Pittsburgh, PA 15213, USA	SVM HeaderParse 0.2
AUTHOR NAME	Noah A. Smith	SVM HeaderParse 0.2
AUTHOR AFFIL	Language Technologies Institute; School of Computer Science; Carnegie Mellon University	SVM HeaderParse 0.2
AUTHOR ADDR	Pittsburgh, PA 15213, USA	SVM HeaderParse 0.2
ABSTRACT	We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice parsing with quasisynchronous grammar (Smith and Eisner, 2006), a syntactic formalism that does not require source and target trees to be isomorphic. Using generic approximate dynamic programming techniques, this decoder can handle “non-local ” features. Similar approximate inference techniques support efficient parameter estimation with hidden variables. We use the decoder to conduct controlled experiments on a German-to-English translation task, to compare lexical phrase, syntax, and combined models, and to measure effects of various restrictions on nonisomorphism. 1	SVM HeaderParse 0.2
YEAR	2009	INFERENCE
VENUE	In EMNLP	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	42 found	ParsCit 1.0