Abstract
AbstractFor our fourth participation in the CLEF evaluation campaigns, our first objective was to propose an effective and general stopword list and a light stemming procedure for the Portuguese language. Our second objective was to obtain a better picture of the relative merit of various search engines when processing documents in the Finnish and Russian languages. Finally, based on the Z-score method we suggested a data fusion strategy intended to improve monolingual searches in various European languages.KeywordsData FusionAverage PrecisionRetrieval ModelRetrieval PerformanceQuery ExpansionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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