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In this paper, we present results of initial explorations to a phrase-based statistical machine translation system for a new language pair, namely Chinese-Uyghur. They are very different from each other, the characters of the former almost are hieroglyphics, morpheme processing don't work at all, but the latter is an agglutinative language with very productive inflectional and derivational word-formation...
Machine transliteration is to translate the proper nouns in the source language according to its pronunciation into the target language. Recent orthographical based approach has improved the performance of machine translation significantly. Focusing on the transliteration unit alignment that provides a fundamental parameter for the model, this paper adopts a semi-supervised EMD approach-applying discriminative...
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