A Decoder for Probabilistic Synchronous Tree Insertion Grammars.

ATANLP '10: Proceedings of the 2010 Workshop on Applications of Tree Automata in Natural Language Processing（2010）

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摘要

Synchronous tree insertion grammars (STIG) are formal models for syntax-based machine translation. We formalize a decoder for probabilistic STIG; the decoder transforms every source-language string into a target-language tree and calculates the probability of this transformation.

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关键词

probabilistic STIG,synchronous tree insertion grammar,target-language tree,formal model,source-language string,syntax-based machine translation,probabilistic synchronous tree insertion

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