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In current digital library management systems, researcher's name is an important identification. However, a precise translation outcome of state-of-art dictionary-based approaches is not satisfactory. In this paper, we propose an effective phonetic similarity approach based on Soundex for mining a Chinese person's name from its English translation, and discriminates approximate pronunciations from different Soundex codes. We use real-world data to test the robustness of this approach, experimental results show our approach outperforms existing researches by 30% of F-measure.