ONOMATOPEDIA: Onomatopoeia Online Example Dictionary System Extracted from Data on the Web

  • Chisato Asaga
  • Yusuf Mukarramah
  • Chiemi Watanabe
Conference paper

DOI: 10.1007/978-3-540-78849-2_60

Volume 4976 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Asaga C., Mukarramah Y., Watanabe C. (2008) ONOMATOPEDIA: Onomatopoeia Online Example Dictionary System Extracted from Data on the Web. In: Zhang Y., Yu G., Bertino E., Xu G. (eds) Progress in WWW Research and Development. APWeb 2008. Lecture Notes in Computer Science, vol 4976. Springer, Berlin, Heidelberg

Abstract

Japanese is filled with onomatopoeia words, which describe sounds or actions like “click” or “bow-wow.” In general, mastering onomatopoeia phrases is hard for foreign speakers, and example-based dictionaries are known to be useful for learning Japanese onomatopoeia. To construct such dictionaries, we need to collect as many examples as possible. This paper proposes an online onomatopoeia example-based dictionary named ONOMATOPEDIA, which comprises extensive example sentences collected from the Web. Inappropriate sentences are often included in web search results, for example, sentences that contain onomatopoeia words used as nick-names, or sentences that include uncommon usage patterns. We propose a model for extracting appropriate sentences as learning examples. Further, we propose a clustering algorithm for sentences having onomatopoeia that takes into account onomatopoeic words that could be used in different meanings depending on the context.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Chisato Asaga
    • 1
  • Yusuf Mukarramah
    • 2
  • Chiemi Watanabe
    • 1
  1. 1.Graduate School of Humanities and Sciences 
  2. 2.Department of Information Sciences, Faculty of ScienceOchanomizu UniversityTokyoJapan