Using a Dependency Parser to Improve SMT for Subject-Object-Verb Languages

Abstract

We introduce a novel precedence reordering approach based on a dependency parser to statistical machine translation systems. Similar to other preprocessing reordering approaches, our method can efficiently incorporate linguistic knowledge into SMT systems without increasing the complexity of decoding. For a set of five subject-object-verb (SOV) order… (More)

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@inproceedings{Xu2009UsingAD, title={Using a Dependency Parser to Improve SMT for Subject-Object-Verb Languages}, author={Peng Xu and Jaeho Kang and Michael Ringgaard and Franz Josef Och}, booktitle={HLT-NAACL}, year={2009} }