Sentence and word alignment using Support Vector Machines
نویسندگان
چکیده
Sentence and word alignment are prerequisite tasks for any system concerning statistical machine translation. Although they seem very different, both sentence and word alignments require approximately the same features to discriminate between positive and negative examples of alignments. We present a solution that can align the sentences and the words of a parallel corpus using support vector machines classifier.
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تاریخ انتشار 2008