Probabilistic aspects in spoken document retrieval

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作者
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[1] Macherey, Wolfgang
[2] Jörg Viechtbauer, Hans
[3] Ney, Hermann
来源
Macherey, W. (w.macherey@informatik.rwth-aachen.de) | 1600年 / Hindawi Publishing Corporation卷 / 2003期
关键词
Error analysis - Heuristic methods - Information retrieval - Interpolation - Natural language processing systems - Probabilistic logics;
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摘要
Accessing information in multimedia databases encompasses a wide range of applications in which spoken document retrieval (SDR) plays an important role. In SDR, a set of automatically transcribed speech documents constitutes the files for retrieval, to which a user may address a request in natural language. This paper deals with two probabilistic aspects in SDR. The first part investigates the effect of recognition errors on retrieval performance and inquires the question of why recognition errors have only a little effect on the retrieval performance. In the second part, we present a new probabilistic approach to SDR that is based on interpolations between document representations. Experiments performed on the TREC-7 and TREC-8 SDR task show comparable or even better results for the new proposed method than other advanced heuristic and probabilistic retrieval metrics.
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