Titlebook: Cross-Language Information Retrieval; Gregory Grefenstette Book 1998 Springer Science+Business Media New York 1998 corpus.database.filteri

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1871-7500 96 dur- ing the SIGIR‘96 Conference. Alan Smeaton of Dublin University and Paraic Sheridan of the ETH, Zurich, were the two other members of the Scientific Committee for this workshop. SIGIR is the Association for Computing Ma- chinery (ACM) Special Interest Group on Information Retrieval, and they

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Erratum to: Waveform Analysis of Sound,ies increasingly important. We are currently developing tools and techniques for Cross Language Information Retrieval. In this chapter, we present experiments that analyze the factors that affect dictionary based methods for cross-language retrieval and present methods that dramatically reduce the errors such an approach usually makes.

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The Problem of Cross-Language Information Retrieval,earch area called Cross Language Information Retrieval, at the intersection of Machine Translation and Information Retrieval. Though sharing some problems in both of these areas, Cross Language Information Retrieval poses specific problems, three of which are described in this chapter.

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A Weighted Boolean Model for Cross-Language Text Retrieval,oolean model is highly effective in general retrieval situations, more experimental evidence needs to be gathered before we can state conclusively that it is particularly advantageous for cross-language applications. However, preliminary evidence suggests that the model is quite promising.

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