Combining multiple evidence from different properties of weighting schemes
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Shallow Morphological Analysis in Monolingual Information Retrieval for Dutch, German, and Italian
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Monolingual Document Retrieval for European Languages
Information Retrieval
The effectiveness of combining information retrieval strategies for European languages
Proceedings of the 2004 ACM symposium on Applied computing
CLEF 2004: ad hoc track overview and results analysis
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Combination methods for crosslingual web retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
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Our approach to cross-lingual document retrieval starts from the assumption that effective monolingual retrieval is at the core of any cross-language retrieval system. We devote particular attention to three crucial ingredients of our approach to cross-lingual retrieval. First, effective tokenization techniques are essential to cope with morphological variations common in many European languages. Second, effective combination methods allow us to combine the best of different strategies. Finally, effective translation methods for translating queries or documents turn a monolingual retrieval system into a cross-lingual retrieval system proper. The viability of our approach is shown by a series of experiments in monolingual, bilingual, and multilingual retrieval.