Learning weights for translation candidates in Japanese-Chinese information retrieval

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Learning weights for translation candidates in Japanese-Chinese information retrieval is a 2009 journal article by Lin, Chu-Cheng, Yu Wang-Chun, Chih Yeh-Hao, Wei Tsai-Chi, Richard Tzong Tsai-Han and published in Expert Systems with Applications.

[edit] Abstract

This paper describes our {Japanese-Chinese} information retrieval system. Our system takes the query-translation" approach. Our system employs both a more conventional bilingual {Japanese-Chinese} dictionary and Wikipedia for translating query terms. We propose that Wikipedia can be used as a good {NE} bilingual dictionary. By exploiting the nature of Japanese writing system we propose that query terms be processed differently based on the forms they are written in. We use an iterative method for weight-tuning and term disambiguation which is based on the {PageRank} algorithm. When evaluating on the {NTCIR-5} test set our system achieves as high as 0.2217 and 0.2276 in relax {MAP} (mean average precision) measurement of T-runs and D-runs. 2008 Elsevier Ltd. All rights reserved."

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