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International Conference on Database and Expert Systems Applications

DEXA 2004: Database and Expert Systems Applications pp 371–380Cite as

Morphological and Syntactic Processing for Text Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3180))

Abstract

This article describes the application of lemmatization and shallow parsing as a linguistically-based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation at both word level and phrase level. Several alternatives for selecting the index terms among the syntactic dependencies detected by the parser are evaluated. Though this article focuses on Spanish, this approach is extensible to other languages by simply adapting the grammar used by the parser.

Supported in part by Ministerio de Ciencia y Tecnología (HF2002-81), FPU grants of Secretaría de Estado de Educación y Universidades (AP2001-2545), Xunta de Galicia (PGIDIT02PXIB30501PR, PGIDIT02SIN01E and PGIDIT03SIN30501PR) and Universidade da Coruña.

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Author information

Authors and Affiliations

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

    Jesús Vilares & Miguel A. Alonso

  2. Escuela Superior de Ingeniería Informática, Universidade de Vigo, Campus de As Lagoas, 32004, Orense, Spain

    Manuel Vilares

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

Editors and Affiliations

  1. University of Zaragoza, Ciudad Universitaria, Plaza San Francisco, 50009, Zaragoza

    Fernando Galindo

  2. Seikei University, Japan

    Makoto Takizawa

  3. Institute of Informatics in Business and Government, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

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© 2004 Springer-Verlag Berlin Heidelberg

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Vilares, J., Alonso, M.A., Vilares, M. (2004). Morphological and Syntactic Processing for Text Retrieval. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_36

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  • DOI: https://doi.org/10.1007/978-3-540-30075-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22936-0

  • Online ISBN: 978-3-540-30075-5

  • eBook Packages: Springer Book Archive

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