[3] C. Y. Lu, Y. Xu, and S. Geva, “Web-based query transla-tion for English-Chinese CLIR,” Computational Linguis-tics and Chinese Language Processing, Vol. 13, No. 1, pp. 61-90, 2008.

has been cited by the following article:

• TITLE: Transliterated Word Identification and Application to Query Translation Mining

  AUTHORS: Jing Zhang, Lei Guo, Meiling Zhou, Jianmin Yao

  KEYWORDS: Transliteration, Query Classification, Supervised Learning, Translation Mining

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.2, July 15, 2009

  ABSTRACT: Query translation mining is a key technique in cross-language information retrieval and machine translation knowl-edge acquisition. For better performance, the queries are classified into transliterated words and non-transliterated words based on transliterated word identification model, and are 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%. Transliterated word translation mining shows satisfactory performance.