Learning weights for translation candidates in JapaneseChinese information retrieval
This paper describes our JapaneseChinese information retrieval system. Our system takes the query-translation approach. Our system employs both a more conventional bilingual JapaneseChinese 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.
japanesechinese cross-language information retrieval query-disambiguation iterative term weighting