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Approximate Phrase Match to Compile Synonymous Translation Terms for Korean Medical Indexing

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Information Retrieval Technology (AIRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3689))

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Abstract

The medical thesaurus, MeSH, has been used to index medical documents. A Korean MeSH also has been developed, but it does not include many of the synonymous translations for the English terms. The coverage of synonymous translation is important to index medical documents correctly. In this paper, we propose an approximate phrase match method to extract synonymous translations from Korean medical documents, where parentheses are used to include English terms, or English keywords are used in the keyword field. The approximate phrase match is to handle the unregistered terms in a bilingual dictionary. The empirical evaluation showed that the proposed methods are very effective to compile translation phrase pairs.

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References

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Authors and Affiliations

  1. Department of Computer Education, Information and Computer Education Major, Chungbuk National University, Korea

    Jae Sung Lee & Hye Mi Yun

Authors
  1. Jae Sung Lee
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  2. Hye Mi Yun
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Nam-gu, 790-784, Pohang, Korea

    Gary Geunbae Lee

  2. Computer and Communication Media Research, NEC Corp., Miyazaki 4-1-1, Miyamae-ku, 216-8555, Kawasaki, Japan

    Akio Yamada

  3. Human-Computer Communications Laboratory, Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong

    Helen Meng

  4. School of Engineering, Information and Communications University, 119, Munjiro, Yuseong-gu, 305-732, Daejeon, Korea

    Sung Hyon Myaeng

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, J.S., Yun, H.M. (2005). Approximate Phrase Match to Compile Synonymous Translation Terms for Korean Medical Indexing. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_68

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  • DOI: https://doi.org/10.1007/11562382_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29186-2

  • Online ISBN: 978-3-540-32001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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