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English-to-Korean Cross-Lingual Link Detection for Wikipedia

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U- and E-Service, Science and Technology (UNESST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 264))

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Abstract

In this paper, we introduce a method for automatically discovering possible links between documents in different languages. We utilized the large collection of articles in Wikipedia as our resource for keyword extraction, word sense disambiguation and in creating a bilingual dictionary. Our system runs using these set of methods for which given an English text or input document, it automatically determines important words or phrases within the context and links it to a corresponding Wikipedia article in other languages. In this system we use the Korean Wikipedia corpus as the linking document.

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Author information

Authors and Affiliations

  1. School of Computer Information, Kyungsung University, 314-79, Daeyon-dong, Nam-gu, Busan, 608-736, South Korea

    Ralph Marigomen & In-Su Kang

Authors
  1. Ralph Marigomen
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  2. In-Su Kang
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  5. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  6. Hannam University, Daejeon, Korea

    Byungjoo Park

  7. Oslo University College, Norway

    Frode Eika Sandnes

  8. Sungkyunkwan University, 110-745, Seoul, Republic of Korea

    Kun Chang Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Marigomen, R., Kang, IS. (2011). English-to-Korean Cross-Lingual Link Detection for Wikipedia. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-27210-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27209-7

  • Online ISBN: 978-3-642-27210-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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