CLARIT TREC-8 CLIR Experiments
نویسندگان
چکیده
In the TREC-8 cross-language information retrieval (CLIR) track, we adopted the approach of using machine translation to prepare a source-language query for use in a target-language retrieval task. We empirically evaluated (1) the effect of pseudo relevance feedback on retrieval performance with two feedback vector length control methods in CLIR and (2) the effect of multilingual data merging either before or after retrieval. Our experiments show that, in general, pseudo relevance feedback significantly improves cross-language retrieval performance, and that postretrieval merging of retrieval results can outperform pre-retrieval merging of multilingual data collections.
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