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A statistical model for scientific readability

Published:05 October 2001Publication History

ABSTRACT

In this paper, we present a new method of using statistical models to estimate readability [1]. Language Model is used to capture the content information. It is combined with linguistic feature model by a linear form. Experiments show that this new method has a better performance than the widely used Flesch-Kincaid readability formula.

References

  1. 1.Gilliland, J. Readability. University of London Press, 1972.Google ScholarGoogle Scholar
  2. 2.Gunning, R. The Technique of Clear Writing. McGraw-Hill, 1952.Google ScholarGoogle Scholar
  3. 3.McLaughlin, H. "SMOG grading - a new readability formula." Journal of Reading, 22, pp. 639-646. 1962.Google ScholarGoogle Scholar
  4. 4.http://www.itl.nist.gov/iaui/oveople/sressler/Persp/Views. htmlGoogle ScholarGoogle Scholar
  5. 5.http://www.timetabler.com/reading.htmlGoogle ScholarGoogle Scholar
  6. 6.Ronald Rosenfeld. "Two decades of statistical language modeling: Where do we go from here" Proceedings of the IEEE, 88(8), 2000.Google ScholarGoogle Scholar
  7. 7.A. P. Dempster, N. M. Laird and D. B. Rubin. "Maximum Likelihood from Incomplete Data via the EM Algorithm."" Journal of the Royal Statistical Society, volume 39, number 1, pages 1-38, 1977.Google ScholarGoogle Scholar

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  1. A statistical model for scientific readability

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            cover image ACM Conferences
            CIKM '01: Proceedings of the tenth international conference on Information and knowledge management
            October 2001
            616 pages
            ISBN:1581134363
            DOI:10.1145/502585

            Copyright © 2001 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 5 October 2001

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