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Readability and the Web

Author

Listed:
  • Ludger Martin

    (Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz 55128, Germany)

  • Thomas Gottron

    (Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz 56070, Germany)

Abstract

Readability indices measure how easy or difficult it is to read and comprehend a text. In this paper we look at the relation between readability indices and web documents from two different perspectives. On the one hand we analyse how to reliably measure the readability of web documents by applying content extraction techniques and incorporating a bias correction. On the other hand we investigate how web based corpus statistics can be used to measure readability in a novel and language independent way.

Suggested Citation

  • Ludger Martin & Thomas Gottron, 2012. "Readability and the Web," Future Internet, MDPI, vol. 4(1), pages 1-15, March.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:1:p:238-252:d:16606
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