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| Format: | Artículo científico |
| Sprache: | en |
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Asociación Española para la Inteligencia Artificial
2004
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=92582210 |
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Inhaltsangabe:
- La Recuperación de Información en español y la normalizacion de términos Carlos G. Figuerola Ángel F. Zazo Emilio Rodriguez Vazquez de Aldana José Luis Alonso Berrocal Ingeniería grams stemming Information Retrieval in ectional stemming derivational stemming Most of the Information Retrieval Systems uses counts of frequencies of the words that occur in documents.Such counts entail the need of normalizing these terms. A simple normalization of characters (upper/lowercase, accents and other diacritical ones) seems insucient, since many words, by morphologic in-ection or derivation, could be grouped under an only form, when having very near semantic mean. Severalalgorithms of normalization are analyzed and tested experimentally to evaluate their e ectiveness 2004 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92582210 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.22 Vol.8