Statistical Machine Translation Using Labeled Semantic Dependency Graphs

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