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Mining Parallel Documents across Web Sites

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Information Retrieval Technology (AIRS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6458))

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Abstract

Most methods on building parallel corpora often start from large scale bilingual websites that are not always an available resource for many language pairs. In this paper we present a novel method to mine parallel documents between English and other non-popular languages which are situated on different locations on the Internet. Our method is motivated by the observation that many non-popular language news are translated from popular English news websites. Given a news in a non-popular language, a method is proposed to search for its original English version located on another website using search engines. Experiments with English-Vietnamese show that our method can provide bilingual document pairs in science domain with precision around 90%. Our method is more flexible and scalable than traditional approaches that collect parallel texts from multilingual websites as its starting point is only a set of monolingual news. Furthermore, this method can be applied to mine parallel documents between non-popular languages pairs with scarce resources.

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Author information

Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, 923-1292, Japan, Nomi, Ishikawa, Asahidai 1-1

    Pham Ngoc Khanh & Ho Tu Bao

Authors
  1. Pham Ngoc Khanh
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  2. Ho Tu Bao
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, Roosevelt Road National Taiwan University, No. 1, Sec. 4, 10617, Taipei, Taiwan R.O.C.

    Pu-Jen Cheng

  2. School of Computing, National University of Singapore (NUS), Computing 1, 13 Computing Drive, 117417, Singapore

    Min-Yen Kan

  3. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, China

    Wai Lam

  4. School of Computing, Computing 1, National University of Singapore (NUS), 13 Computing Drive, 117417, Singapore

    Preslav Nakov

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© 2010 Springer-Verlag Berlin Heidelberg

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Khanh, P.N., Bao, H.T. (2010). Mining Parallel Documents across Web Sites. In: Cheng, PJ., Kan, MY., Lam, W., Nakov, P. (eds) Information Retrieval Technology. AIRS 2010. Lecture Notes in Computer Science, vol 6458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17187-1_52

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  • DOI: https://doi.org/10.1007/978-3-642-17187-1_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17186-4

  • Online ISBN: 978-3-642-17187-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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