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Integrating of Grapheme-Based and Phoneme-Based Transliteration Unit Alignment Method
LIU Bojia, XU Jin’an, CHEN Yufeng, ZHANG Yujie
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (1): 75-80.   DOI: 10.13209/j.0479-8023.2016.001
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In order to solve the errors caused by only using the pheneme-based method or the grapheme-based method, applying the theory of statistics and rules, this paper proposes a new method for transliteration unit alignment which integrates the two main transliteration methods. Four experiments are designed to compare with the traditional methods. Experimental results show that proposed method outperforms other methods in terms of performance in machine transliteration.

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