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Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07
This paper describes a novel model using dependency structures on the source side for syntax-based statistical machine translation: Dependency Treelet String Correspondence Model (DTSC). The DTSC model maps source dependency structures to target strings. In this model translation pairs of source treelets and target strings with their word alignments are learned automatically from the parsed and aligned corpus. The DTSC model allows source treelets and target strings with variables so that thedoi:10.3115/1626355.1626361 fatcat:uasfycksxjahfaoqc7d2agqosm