Probabilistic aspects in spoken document retrieval

被引：0

作者：

机构：

[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;

D O I：

暂无

中图分类号：

学科分类号：

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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