Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach

CoRR, 2014.

Cited by: 10|Bibtex|Views55|DOI:https://doi.org/10.13016/M2H59F
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We describe a unified and coherent syntactic framework for supporting a semantically-informed syntactic approach to statistical machine translation. Semantically enriched syntactic tags assigned to the target-language training texts improved translation quality. The resulting system significantly outperformed a linguistically naive base...More

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