Graphics Applications White Papers

Statistical Machine Translation Using Labeled Semantic Dependency Graphs

Overview This paper presents a series of models for doing statistical machine translation based on labeled semantic dependency graphs. The paper describes how these models were employed to augment an existing example-based MT system, and presents results showing that doing so led to a significant improvement in translation quality as measured by the BLEU metric.

Further White Paper Details
PublisherMicrosoft File FormatPDF
Date PublishedJuly 2004 Downloads1
FormatWhite Papers   
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