Verb Subcategorisation Acquisition for Estonian Based on Morphological Information

  • Siim Orasmaa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8082)

Abstract

A method for automatic acquisition of verb subcategorisation information for Estonian is presented. The method focuses on detection of subcategorisation relations between verbs and nominal phrases. Simple comparison of verb-specific argument candidate’s frequency ranking against a global frequency ranking of the candidate is used to decide whether the argument candidate is likely governed by the verb. The method also requires only limited linguistic resources from the input corpora: morphological annotations and clause boundary annotations. The results obtained are evaluated against a manually built valency lexicon.

Keywords

verb subcategorisation acquisition morphological information frequency ranking comparisons Estonian 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Siim Orasmaa
    • 1
  1. 1.Institute of Computer ScienceUniversity of TartuTartuEstonia

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