WordNet based comparison of language variation: A study based on CCD and CWN

Jia Fei Hong, Chu Ren Huang, Yang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper will deal with the lexica of comparing the Chinese Concept Dictionary (CCD) with the Chinese WordNet (CWN) by WordNet. CCD is a WordNet-like semantic lexicon that developed by the Institute of Computational Linguistics, Peking University. And CWN is a bilingual wordnet by linking to the SUMO ontology that developed by Academia Sinica Bilingual Ontological WordNet. In this paper, we will base onWordNet database to show several situations for both CCD and CWN, such as: the same translation for them, zero translation only for CCD or CWN, and unique translation only for CCD or CWN. Then, through these analyses, we could find out the unique usage of English translating for traditional Chinese Characters or simplified Chinese characters.

Original languageEnglish
Title of host publicationGWC 2006
Subtitle of host publication3rd International Global WordNet Conference, Proceedings
PublisherMasaryk University
Pages61-68
Number of pages8
ISBN (Print)8021039159, 9788021039155
Publication statusPublished - 2005 Jan 1
Externally publishedYes
Event3rd International Global WordNet Conference, GWC 2006 - Jeju Island, Korea, Republic of
Duration: 2006 Jan 222006 Jan 26

Publication series

NameGWC 2006: 3rd International Global WordNet Conference, Proceedings

Conference

Conference3rd International Global WordNet Conference, GWC 2006
CountryKorea, Republic of
CityJeju Island
Period06/1/2206/1/26

Keywords

  • Bilingual
  • CCD
  • Concept
  • CWN
  • Sense
  • Synset
  • Wordnet

ASJC Scopus subject areas

  • Language and Linguistics
  • Literature and Literary Theory

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  • Cite this

    Hong, J. F., Huang, C. R., & Liu, Y. (2005). WordNet based comparison of language variation: A study based on CCD and CWN. In GWC 2006: 3rd International Global WordNet Conference, Proceedings (pp. 61-68). (GWC 2006: 3rd International Global WordNet Conference, Proceedings). Masaryk University.