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On sentence length distribution as an authorship attribute

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Information Science and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 339))

Abstract

Understanding what makes written texts sound like they are written by their author has been an unsolved problem for hundreds of years. The attributes of authorship are often clumped together as an attempt to solve the case of an unknown author while the practice of investigating a single attribute by eliminating the effect of all others has been paid little attention. One of the debated attributes is the size of the text segments which authors use to group words together. Texts consist of these segments — sentences — which are of different lengths, the values being distributed in ways that are assumed to be characteristic of the author. Comparing the statistics of paired text samples, we can show that differences in the statistics in fact indicate difference in the authorship of the texts. However, certain choices of metrics and units easily lead to random and meaningless results.

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Author information

Authors and Affiliations

  1. Faculty of Science at Si Racha, Kasetsart University, Bangkok, Thailand

    Miro Lehtonen

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  1. Miro Lehtonen
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Correspondence to Miro Lehtonen .

Editor information

Editors and Affiliations

  1. Department of Convergence Security, Kyonggi University, Institute of Creative Advanced Technology, Science and Engineering, Kyonggi-do, Korea, Republic of (South Korea)

    Kuinam J. Kim

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Lehtonen, M. (2015). On sentence length distribution as an authorship attribute. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_96

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  • DOI: https://doi.org/10.1007/978-3-662-46578-3_96

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46577-6

  • Online ISBN: 978-3-662-46578-3

  • eBook Packages: EngineeringEngineering (R0)

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