Building Korean Classifier Ontology Based on Korean WordNet

  • Soonhee Hwang
  • Youngim Jung
  • Aesun Yoon
  • Hyuk-Chul Kwon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)


Being commonly used in most languages, the classifier must be reexamined using semantic classes from ontology. However, few studies have dealt with the semantic categorization of classifiers and their semantic relations to nouns, which they quantify and characterize in building ontology. In this paper, we propose the semantic recategorization of numeral classifiers in Korean and present the construction of a classifier ontology based on large corpora and KorLex 1.5 (Korean WordNet). As a result, a Korean classifier ontology containing semantic hierarchies and the relations of classifiers was constructed. This is the first Korean classifier ontology, and its size is appropriate for natural language processing. In addition, each of the individual classifiers has a connection to nouns or noun classes that are quantified by the classifiers.


Noun Phrase Semantic Relation Semantic Category Semantic Feature Large Corpus 
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

  • Soonhee Hwang
    • 1
  • Youngim Jung
    • 1
    • 2
  • Aesun Yoon
    • 1
    • 3
  • Hyuk-Chul Kwon
    • 1
    • 2
  1. 1.Korean Language Processing Laboratory, Research Institute of Computer Information and CommunicationPusan National University 
  2. 2.Department of Computer Science EngineeringPusan National University 
  3. 3.Department of FrenchPusan National UniversityBusanS. Korea

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