Tree-based Target Language Modeling
نویسنده
چکیده
In this paper we describe an approach to target language modeling which is based on a large treebank. We assume a bag of bags as input for the target language generation component, leaving it up to this component to decide upon word and phrase order. An experiment with Dutch as target language shows that this approach to candidate translation reranking outperforms standard n-gram modeling, when measuring output quality with BLEU, NIST, and TER metrics.
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تاریخ انتشار 2009