Author(s)

Jing Zhang, Lei Guo, Meiling Zhou, Jianmin Yao

.

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.

Transliteration, Query Classification, Supervised Learning, Translation Mining

J. Zhang, L. Guo, M. Zhou and J. Yao, "Transliterated Word Identification and Application to Query Translation Mining," Journal of Software Engineering and Applications, Vol. 2 No. 2, 2009, pp. 122-126. doi: 10.4236/jsea.2009.22018.