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Rule Based Dependency Parser for Polish Language

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10246))

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Abstract

The paper presents a dependency parser for Polish language. It uses a simple chain of word combining rules operating on fully morphosyntactically tagged input instead of a formal grammar model or statistical learning. The proposed approach generates robust dependency trees and allows parsing of uncommon texts, such as poetry. This gives a significant advantage over current state-of-the-art dependency parsers.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Korzeniowski & Jacek Mazurkiewicz

Authors
  1. Marek Korzeniowski
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  2. Jacek Mazurkiewicz
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Corresponding author

Correspondence to Jacek Mazurkiewicz .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Korzeniowski, M., Mazurkiewicz, J. (2017). Rule Based Dependency Parser for Polish Language. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_45

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  • DOI: https://doi.org/10.1007/978-3-319-59060-8_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59059-2

  • Online ISBN: 978-3-319-59060-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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