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Improving Translation Quality by Manipulating Sentence Length

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Book cover Machine Translation and the Information Soup (AMTA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1529))

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Abstract

Translation systems tend to have more trouble with long sentences than with short ones for a variety of reasons. When the source and target languages differ rather markedly, as do Japanese and English, this problem is reflected in lower quality output. To improve readability, we experimented with automatically splitting long sentences into shorter ones. This paper outlines the problem, describes the sentence splitting procedure and rules, and provides an evaluation of the results.

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Author information

Authors and Affiliations

  1. SYSTRAN Systems Inc, 7855 Fay Avenue, Suite 300, La Jolla, CA, 92037

    Laurie Gerber

  2. Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA, 90292-6695

    Eduard Hovy

Authors
  1. Laurie Gerber
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  2. Eduard Hovy
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Editor information

Editors and Affiliations

  1. Computing Research Lab, New Mexico State University, Box 30001 / 3CRL, Las Cruces, NM, 88003, USA

    David Farwell

  2. SYSTRAN Inc., 7855 Fay Avenue, Suite 300, P.O. Box 907, La Jolla, CA, 92037, USA

    Laurie Gerber

  3. Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA, 90292-6695, USA

    Eduard Hovy

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© 1998 Springer-Verlag Berlin Heidelberg

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Gerber, L., Hovy, E. (1998). Improving Translation Quality by Manipulating Sentence Length. In: Farwell, D., Gerber, L., Hovy, E. (eds) Machine Translation and the Information Soup. AMTA 1998. Lecture Notes in Computer Science(), vol 1529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49478-2_40

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  • DOI: https://doi.org/10.1007/3-540-49478-2_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65259-5

  • Online ISBN: 978-3-540-49478-2

  • eBook Packages: Springer Book Archive

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