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Probabilistic Head-Driven Chart Parsing of Czech Sentences

  • Pavel Smrž
  • Aleš Horák
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1902)

Abstract

In this paper we present the results of our work on an implementation of a fast head-driven chart parser for the Czech language and constructing the appropriate grammar covering all prevailing grammatical phenomena of Czech. We re-assume our previous work on syntactic analysis that was based on the GLR mechanism. We have extended our metagrammar formalism so as to reinforce the declarativeness of the linguistic description. With respect to the massive ambiguity of the grammar we have enriched the head-driven chart parsing mechanism with probabilities obtained from training tree-bank corpus.

Keywords

Dependency Tree Derivation Tree Grammar Rule Phrase Structure Grammar Tree Adjoining Grammar 
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 2000

Authors and Affiliations

  • Pavel Smrž
    • 1
  • Aleš Horák
    • 1
  1. 1.NLP Laboratory, Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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