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Simulating Misreading

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Natural Language Processing and Information Systems (NLDB 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9103))

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Abstract

Physical misreading (as opposed to interpretational misreading) is an unnoticed substitution in silent reading. Especially for legally important documents or instruction manuals, this can lead to serious consequences. We present a prototype of an automatic highlighter targeting words which can most easily be misread in a given text using a dynamic orthographic neighbour concept. We propose measures of fit of a misread token based on Natural Language Processing and detect a list of short most easily misread tokens in the English language. We design a highlighting scheme for avoidance of misreading.

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Notes

  1. 1.

    Event Related Potentials.

  2. 2.

    http://www.nltk.org/.

  3. 3.

    http://wordnet.princeton.edu/.

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Author information

Authors and Affiliations

  1. Texttechnology Lab, University of Frankfurt, Frankfurt, Germany

    Armin Hoenen

Authors
  1. Armin Hoenen
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Correspondence to Armin Hoenen .

Editor information

Editors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Chris Biemann

  2. Universität Passau, Passau, Germany

    Siegfried Handschuh

  3. Universität Passau, Passau, Germany

    André Freitas

  4. University of Salford, Salford, United Kingdom

    Farid Meziane

  5. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

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Hoenen, A. (2015). Simulating Misreading. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2015. Lecture Notes in Computer Science(), vol 9103. Springer, Cham. https://doi.org/10.1007/978-3-319-19581-0_34

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  • DOI: https://doi.org/10.1007/978-3-319-19581-0_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19580-3

  • Online ISBN: 978-3-319-19581-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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