Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Discovery of Definition Patterns by Compressing Dictionary Sentences

  • Chapter
  • First Online:
Progress in Discovery Science

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2281))

  • 518 Accesses

Abstract

This paper proposes an automatic method to discover definition patterns from an ordinary dictionary. There are frequent patterns to describe words and concepts in a ordinary dictionary. Each definition pattern gives a set of similar words and can be used as a template to clarify distinctions among them. To discover these definition patterns, we convert definition sentences into tree structures, and compress them using the MDL principle. The experiment on a Japanese children dictionary is reported, showing the effectiveness of our method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Junichi Tadika, editor. Reikai Shogaku Kokkugojiten. Sansei-do Co., 1997.

    Google Scholar 

  2. J. Rissanen. Stochastic Complexity in Stochastic Inquiry. World Scientific Publishing Company, 1989.

    Google Scholar 

  3. Diane J. Cook and Laerence B. Holder. Substructure discovery using minimum description length and background knowledge. Journal of Artificial Intelligence Research, 1:231–255, 1994.

    Google Scholar 

  4. Hang Li. Generalizing case frames using a thesaurus and the mdl principle. Computational Linguistics, 24(2):217–244, 1998.

    Google Scholar 

  5. H. Bunt and R. Muskens, editors. Minimum Description Length and Compositionality, volume 1, pages 113–128. Kluwer, 1999.

    Google Scholar 

  6. Sadao Kurohashi and Makoto Nagao. A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics, 20(4), 1994.

    Google Scholar 

  7. The National Language Research Institute. Bunruigoihyou, 1993.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Japan

    Masatoshi Tsuchiya & Satoshi Sato

  2. Graduate School of Information Science and Technology, Tokyo University, Japan

    Sadao Kurohashi

Authors
  1. Masatoshi Tsuchiya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sadao Kurohashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Satoshi Sato
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, 812-8581, Fukuoka, Japan

    Setsuo Arikawa  & Ayumi Shinohara  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Tsuchiya, M., Kurohashi, S., Sato, S. (2002). Discovery of Definition Patterns by Compressing Dictionary Sentences. In: Arikawa, S., Shinohara, A. (eds) Progress in Discovery Science. Lecture Notes in Computer Science(), vol 2281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45884-0_19

Download citation

  • DOI: https://doi.org/10.1007/3-540-45884-0_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43338-5

  • Online ISBN: 978-3-540-45884-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation