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

Volume

2

fYear

2009

fDate

22-24 May 2009

Firstpage

117

Lastpage

120

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3643-9

Type

conf

DOI

10.1109/ISECS.2009.212

Filename

5209903