This paper deals with the application of natural language processing techniques to the field of information retrieval. To be precise, we propose the application of morphological families for single term conflation in order to reduce the linguistic variety of indexed documents written in Spanish. A system for automatic generation of morphological families by means of Productive Derivational Morphology is discussed. The main characteristics of this system are the use of a minimum of linguistic resources, a low computational cost, and the independence with respect to the indexing engine.
CITATION STYLE
Vilares, J., Cabrero, D., & Alonso, M. A. (2001). Applying productive derivational morphology to term indexing of spanish texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2004, pp. 336–348). Springer Verlag. https://doi.org/10.1007/3-540-44686-9_34
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