Shallow Semantic Trees for SMT.

WMT '11: Proceedings of the Sixth Workshop on Statistical Machine Translation（2011）

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摘要

We present a translation model enriched with shallow syntactic and semantic information about the source language. Base-phrase labels and semantic role labels are incorporated into an hierarchical model by creating shallow semantic "trees". Results show an increase in performance of up to 6% in BLEU scores for English-Spanish translation over a standard phrase-based SMT baseline.

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关键词

semantic information,semantic role label,shallow semantic,English-Spanish translation,hierarchical model,shallow syntactic,translation model,BLEU score,Base-phrase label,source language,shallow semantic tree

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