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Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations

  • Conference paper
Accessing Multilingual Information Repositories (CLEF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4022))

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Abstract

When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retrieval performance because of an increase in lexical mismatches. In the ImageCLEF2005 ad-hoc task, we investigated the use of learned word association models that represent how pairs of words are related to absorb such mismatches. We compared a precision-oriented simple word-matching retrieval model and a recall-oriented word association retrieval model. We also investigated combinations of these by introducing a new ranking function that generated comparable output values from both models. Experimental results on English and German topics were discouraging, as the use of word association models degraded the performance. On the other hand, word association models helped retrieval for Japanese topics whose translation quality was low.

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Author information

Authors and Affiliations

  1. National Institute of Informatics, Tokyo, Japan

    Masashi Inoue

Authors
  1. Masashi Inoue
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Editor information

Editors and Affiliations

  1. ISTI-CNR, Area di Ricerca, Pisa, Italy

    Carol Peters

  2. University of California, Berkeley, CA, USA

    Fredric C. Gey

  3. No Affiliations,  

    Julio Gonzalo

  4. Business Information Systems, University of Applied Sciences, Sierre, Switzerland

    Henning Müller

  5. Centre for Digital Video Processing & School of Computing, Dublin City University, Dublin 9, Ireland

    Gareth J. F. Jones

  6. German Institute for International and Security Affairs, Stiftung Wissenschaft und Politik (SWP), Ludwigkirchplatz 3-4, 10719, Berlin, Germany

    Michael Kluck

  7. ITC-IRST, Trento, Italy

    Bernardo Magnini

  8. ISLA, University of Amsterdam,  

    Maarten de Rijke

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© 2006 Springer-Verlag Berlin Heidelberg

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Inoue, M. (2006). Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_65

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  • DOI: https://doi.org/10.1007/11878773_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45697-1

  • Online ISBN: 978-3-540-45700-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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