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The Linguistic Basis of a Rule-Based Tagger of Czech

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Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 1902))

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Abstract

This paper describes the conception of a rule-based tagger (part-of-speech disambiguator) of Czech currently developed for tagging theCzech National Corpus (cf. [2]). The input of the tagger consists of sentences whose words are assigned all possible morphological analyses. The tagger disambiguates this input by successive elimination of tags which are syntactically implausible in the sentential context of the particular word. Due to this, the tagger promises substantially higher accuracy than current stochastic taggers for Czech. This is documented by the results concerning the disambiguation of the most frequent ambiguous word form in Czech - the wordse.

The work described is funded by theGAČR grant No. 405/96/K214.

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Author information

Authors and Affiliations

  1. Computational Linguistics, University of Saarland, Saarbrücken, Germany

    Karel Oliva

  2. Faculty of Arts, Charles University, Prague, Czech Republic

    Milena Hnátková, Vladimír Petkevič & Pavel Květoň

Authors
  1. Karel Oliva

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  2. Milena Hnátková

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  3. Vladimír Petkevič

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  4. Pavel Květoň

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Editor information

Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics, Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Oliva, K., Hnátková, M., Petkevič, V., Květoň, P. (2000). The Linguistic Basis of a Rule-Based Tagger of Czech. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_1

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