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Scalable Multilingual Information Access

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Advances in Cross-Language Information Retrieval (CLEF 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2785))

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Abstract

The third Cross-Language Evaluation Forum workshop (CLEF-2002) provides the unprecedented opportunity to evaluate retrieval in eight different languages using a common set of topics and a uniform assessment methodology. This year the Johns Hopkins University Applied Physics Laboratory participated in the monolingual, bilingual, and multilingual retrieval tasks. We contend that information access in a plethora of languages requires approaches that are inexpensive in developer and run-time costs. In this paper we describe a simplified approach that seems suitable for retrieval in many languages; we also show how good retrieval is possible over many languages, even when translation resources are scarce, or when query-time translation is infeasible. In particular, we investigate the use of character n-grams for monolingual retrieval, CLIR between related languages using partial morphological matches, and translation of document representations to an interlingua for computationally efficient retrieval against multiple languages.

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References

  1. M. Braschler and C. Peters, ‘CLEF-2002: Methodology and Metrics’, in this volume.

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© 2003 Springer-Verlag Berlin Heidelberg

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McNamee, P., Mayfield, J. (2003). Scalable Multilingual Information Access. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Advances in Cross-Language Information Retrieval. CLEF 2002. Lecture Notes in Computer Science, vol 2785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45237-9_17

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  • DOI: https://doi.org/10.1007/978-3-540-45237-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40830-7

  • Online ISBN: 978-3-540-45237-9

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