Finnish, portuguese and russian retrieval with hummingbird SearchServerTM at CLEF 2004
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Current research issues and trends in non-English Web searching
Information Retrieval
Sampling precision to depth 10000 at CLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Sampling precision to depth 10000 at CLEF 2009
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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Hummingbird participated in the Bulgarian and Hungarian monolingual information retrieval tasks of the Ad-Hoc Track of the Cross-Language Evaluation Forum (CLEF) 2005. In the ad hoc retrieval tasks, the system was given 50 natural language queries, and the goal was to find all of the relevant documents (with high precision) in a particular document set. We conducted diagnostic experiments with different techniques for matching word variations and handling stopwords. We found that the experimental stemmers significantly increased mean average precision for both languages. Analysis of individual topics found that the algorithmic Bulgarian and Hungarian stemmers encountered some unanticipated stopword collisions. A comparison to an experimental 4-gram technique suggested that Hungarian stemming would further benefit from decompounding.