Soft Syntactic Constraints for Hierarchical Phrased-Based Translation

Soft Syntactic Constraints for Hierarchical Phrased-Based Translation

Cached

Download Links

by Yuval Marton , Philip Resnik

Citations:

21 - 2 self

Versions

Version 0

Version History

Metadata Version 0

Datum	Value	Source
TITLE	Soft Syntactic Constraints for Hierarchical Phrased-Based Translation	SVM HeaderParse 0.2
AUTHOR NAME	Yuval Marton	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Linguistics; and the Laboratory for Computational Linguistics and Information Processing (CLIP); at the Institute for Advanced Computer Studies (UMIACS); University of Maryland, College Park	SVM HeaderParse 0.2
AUTHOR ADDR	MD 20742-7505, USA	SVM HeaderParse 0.2
AUTHOR NAME	Philip Resnik	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Linguistics; and the Laboratory for Computational Linguistics and Information Processing (CLIP); at the Institute for Advanced Computer Studies (UMIACS); University of Maryland, College Park	SVM HeaderParse 0.2
AUTHOR ADDR	MD 20742-7505, USA	SVM HeaderParse 0.2
ABSTRACT	In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings learned from parallel training data. A number of previous efforts have tackled this tradeoff by starting with a commitment to linguistically motivated analyses and then finding appropriate ways to soften that commitment. We present an approach that explores the tradeoff from the other direction, starting with a context-free translation model learned directly from aligned parallel text, and then adding soft constituent-level constraints based on parses of the source language. We obtain substantial improvements in performance for translation from Chinese and Arabic to English. 1	SVM HeaderParse 0.2
CITATIONS	31 found	ParsCit 1.0