Information Retrieval systems can benefit from advanced linguistic resources when carrying out tasks such as word-stemming or query translation. The main goal of our experiments has been the development of methodologies that minimize the human labor needed for creating linguistic resources for new languages. For this purpose, we have applied statistical techniques to extract information directly from the collections.

The University of Padova at CLEF 2004: Experiments on Statistical Approaches to Compensate for Limited Linguistic Resources

DI NUNZIO, GIORGIO MARIA;FERRO, NICOLA;ORIO, NICOLA
2004

Abstract

Information Retrieval systems can benefit from advanced linguistic resources when carrying out tasks such as word-stemming or query translation. The main goal of our experiments has been the development of methodologies that minimize the human labor needed for creating linguistic resources for new languages. For this purpose, we have applied statistical techniques to extract information directly from the collections.
Multilingual Information Access for Text, Speech and Images, 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, Bath, UK, September 15-17, 2004, Revised Selected Papers
9783540274209
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/2474078
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