Paper: Learning to Translate with Source and Target Syntax

ACL ID P10-1146
Title Learning to Translate with Source and Target Syntax
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of vary- ing amounts of information from linguis- tic theory: some use none at all, some use information about the grammar of the tar- get language, some use information about the grammar of the source language. But progress has been slower on translation models that are able to learn the rela- tionship between the grammars of both the source and target language. We dis- cuss the reasons why this has been a chal- lenge,review existing attempts to meet this challenge, and show how some old and new ideas can be combined into a sim- ple approach that uses both source and tar- get syntax for significant improvements in translation accur...