Skip to main content

Discovery of Definition Patterns by Compressing Dictionary Sentences

  • Chapter
  • First Online:

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

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.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Authors

Editor information

Editors and Affiliations

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