Tiansang Du

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This paper presents a training method of log-linear model for statistical machine translation based on structural support vector machine. This method is designed to directly optimize parameters with respect to translation quality. By adopting maximum-margin principle of SVM, the MT model can learn from training samples with generalization capability.(More)
The purpose of this article is to research the clustering method based on statistical model, then deal with the Chinese sentence clustering problem on bilingual lexicographical platform. In the view of cooccurrence data, we develop the Sentence Cluster Model as a multidimensional SMM, and get the solution of parameter estimation by EM algorithm. Based on(More)
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