@techreport{quirk2004dependency,
author = {Quirk, Chris and Menezes, Arul and Cherry, Colin},
title = {Dependency Tree Translation: Syntactically Informed Phrasal SMT},
year = {2004},
month = {November},
abstract = {We describe a novel approach to statistical machine translation that combines syntactic information in the source language with recent advances in phrasal translation. We use a source-language dependency parser and a word-aligned parallel corpus. The only target language resource assumed is a word breaker. These are used to produce treelet ("phrase") translation pairs as well as several models, including a channel model, an order model, and a target language model. Together these models and the treelet translation pairs provide a powerful and promising approach to MT that incorporates the power of phrasal SMT with the linguistic generality available in a parser. We evaluate two decoding approaches, one inspired by dynamic programming and the other employing an A* search, comparing the results under a variety of settings.},
url = {http://approjects.co.za/?big=en-us/research/publication/dependency-tree-translation-syntactically-informed-phrasal-smt/},
pages = {48},
number = {MSR-TR-2004-113},
}