Title :
A Supervised Method for Transliterated Person Name Identification
Author :
Lei, Guo ; Mei-Ling, Zhou ; Jian-Min, Yao ; Qiao-Ming, Zhu
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
Abstract :
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%.
Keywords :
classification; data mining; language translation; learning (artificial intelligence); natural language processing; query processing; cross-language information retrieval; linguistic heuristics; machine translation knowledge acquisition; nontransliterated word classification; query translation mining; supervised classification; transliterated person name identification; Books; Computer science; Computer security; Electronic commerce; Information retrieval; Information security; Knowledge acquisition; Machine learning; Natural language processing; Statistics; Person name; Quer classification; Transliteration; supervised;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.212
