A Supervised Method for Transliterated Person Name Identification
Query translation mining is a key technique in cross-language information retrieval and machine translation knowledge acquisition. For better performance, the queries are classified into transliterated words and non-transliterated words, which can be further channeled to different mining processes. This paper is a pilot study on query classification for better translation mining performance, which is based on supervised classification and linguistic heuristics. The person name identification gets a precision of over 97％.
Transliteration Person name Quer classification supervised learning
Guo Lei Zhou Mei-ling Yao Jian-Min Zhu Qiao-Ming
School of Computer Science and Technology Soochow University Suzhou, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
773-776
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）