In statistical machine translation (SMT), syntax-based pre-ordering of the source language is an effective method for dealing with language pairs where there are great differences in their respective word orders. This paper introduces a novel pre-ordering approach based on dependency parsing for Chinese-English SMT. We present a set of dependency-based preordering rules which improved the BLEU score by 1.61 on the NIST 2006 evaluation data. We also investigate the accuracy of the rule set by conducting human evaluations.
Cai REF introduced a novel pre-ordering approach based on dependency parsing for ChineseEnglish SMT.
Dependency-based Pre-ordering for Chinese-English Machine Translation
ACL
Computer Science