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Combining Czech Dependency Parsers

  • Tomáš Holan
  • Zdeněk Žabokrtský
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)

Abstract

In this paper we describe in detail two dependency parsing techniques developed and evaluated using the Prague Dependency Treebank 2.0. Then we propose two approaches for combining various existing parsers in order to obtain better accuracy. The highest parsing accuracy reported in this paper is 85.84 %, which represents 1.86 % improvement compared to the best single state-of-the-art parser. To our knowledge, no better result achieved on the same data has been published yet.

Keywords

Reduction Rule Punctuation Mark Dependency Parser Relative Error Reduction Individual Parser 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tomáš Holan
    • 1
  • Zdeněk Žabokrtský
    • 1
  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic

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