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Lecture Notes in Computer Science
The problem of nding documents that are written in a language that the searcher cannot read is perhaps the most challenging application of Cross-Language Information Retrieval (CLIR) technology. The rst Cross-Language Evaluation Forum (CLEF) provided an excellent v enue for assessing the performance of automated CLIR techniques, but little is known about how searchers and systems might i nteract to achieve better cross-language search results than automated systems alone can provide. This paperdoi:10.1007/3-540-44645-1_6 fatcat:t3dkqaaqfzavlhywf3nchz2y24