Building korean classifier ontology based on korean wordnet

  • Authors:

  • Soonhee Hwang;Youngim Jung;Aesun Yoon;Hyuk-Chul Kwon

  • Affiliations:

  • Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University

  • Venue:
  • TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
  • Year:
  • 2006

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Abstract

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.