Towards a Constraint Grammar Based Morphological Tagger for Croatian

  • Hrvoje Peradin
  • Jan Šnajder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7499)


A Constraint Grammar (CG) uses context-dependent hand-crafted rules to disambiguate the possible grammatical readings of words in running text. In this paper we describe the development of a CG-based morphological tagger for Croatian language. Our CG tagger uses a morphological analyzer based on an automatically acquired inflectional lexicon and an elaborate tagset based on MULTEXT-East and the Croatian Verb Valence Lexicon. Currently our grammar has 290 rules, organized into cleanup and mapping rules, disambiguation rules, and heuristic rules. The grammar is implemented in the CG3 formalism and compiled with the vislcg3 open-source compiler. The preliminary tagging performance is P:,96.1%, R:,99.8% for POS tagging and P:,88.2%, R:,98.1% for complete morphosyntactic tagging.


Noun Phrase Machine Translation Heuristic Rule Prepositional Phrase Proper Noun 
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 2012

Authors and Affiliations

  • Hrvoje Peradin
    • 1
  • Jan Šnajder
    • 2
  1. 1.Faculty of Science, Department of MathematicsUniversity of ZagrebZagrebCroatia
  2. 2.Faculty Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia

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