A High-Accurate Chinese-English NE Backward Translation System Combining Both Lexical Information and Web Statistics
نویسندگان
چکیده
Named entity translation is indispensable in cross language information retrieval nowadays. We propose an approach of combining lexical information, web statistics, and inverse search based on Google to backward translate a Chinese named entity (NE) into English. Our system achieves a high Top-1 accuracy of 87.6%, which is a relatively good performance reported in this area until present.
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