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Applying Productive Derivational Morphology to Term Indexing of Spanish Texts

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Computational Linguistics and Intelligent Text Processing (CICLing 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2004))

Abstract

This paper deals with the application of natural language processing techniques to the field of information retrieval. To be pre- cise, we propose the application of morphological families for single term confiation 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 lin- guistic resources, a low computational cost, and the independence with respect to the indexing engine.

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References

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Author information

Authors and Affiliations

  1. Departamento de Computación, Universidad de La Coruña, Campus de Elviña s/n, 15071, La Coruña, Spain

    Jesús Vilares & Miguel A. Alonso

  2. Escuela Superior de Ingeniería Informática, Universidad de Vigo Edificio Politécnico, As Lagoas, 32004, Orense, Spain

    David Cabrero

Authors
  1. Jesús Vilares
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  2. David Cabrero
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  3. Miguel A. Alonso
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Editor information

Editors and Affiliations

  1. CIC (Centro de Investigación en Computatción IPN (Instituto Politécnico Nacional), Av. Juan Dios Bátiz s/n esq. M. Othon Mendizabal Col. Nuevo Vallejo, CP. 07738, México, Mexico

    Alexander Gelbukh (Unidad Profecional “Adolfo López Mateos”) (Unidad Profecional “Adolfo López Mateos”)

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© 2001 Springer-Verlag Berlin Heidelberg

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Vilares, J., Cabrero, D., Alonso, M.A. (2001). Applying Productive Derivational Morphology to Term Indexing of Spanish Texts. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_34

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  • DOI: https://doi.org/10.1007/3-540-44686-9_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41687-6

  • Online ISBN: 978-3-540-44686-6

  • eBook Packages: Springer Book Archive

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