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Fuzzy Set Tagging

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Computational Linguistics and Intelligent Text Processing (CICLing 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2276))

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Abstract

This paper presents a fuzzy set approach to the rule-based tagging. Both lexical and contextual phases have been shortly discussed to point the potential advantages of using an uncertain part-of-speech information. Obtained results are comparable with the results of other taggers, for example, Brill tagger.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Dariusz J. Kogut

Authors
  1. Dariusz J. Kogut
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Editor information

Editors and Affiliations

  1. CIC Centro de Investigacion en Computacion, IPN Instituto Politecnico Nacional, Col Zacateno, CP 07738, Mexico DF, Mexico

    Alexander Gelbukh

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© 2002 Springer-Verlag Berlin Heidelberg

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Kogut, D.J. (2002). Fuzzy Set Tagging. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_24

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  • DOI: https://doi.org/10.1007/3-540-45715-1_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43219-7

  • Online ISBN: 978-3-540-45715-2

  • eBook Packages: Springer Book Archive

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