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Fabienne Moreau, Vincent Claveau,
Extension
de requêtes par relations morphologiques acquises automatiquement,
Revue I3 (Information - Interaction - Intelligence),
Cépaduès éditions, Vol. 6, No 2, p. 31-50, 2006,
Document
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Abstract
Information retrieval systems (IRS) usually suffer from a low ability to
recognize a same idea or concept that is expressed in different forms. A way
of improving these systems is to take into account morphological variations.
In this paper, we propose a simple method to recognize these variations
that are further used so as to enrich queries. In comparison with
already published methods, this system does not need an external ressources or
knowledge and thus supports many languages. This approach is evaluated on
several collections, 6 different languages and compared to existing tools
(stemmer, lemmatizer);
reported results show a significant improvement of the overall IRS
performance in every case.
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