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Using Alliteration in Authorship Attribution of Historical Texts

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Text, Speech, and Dialogue (TSD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9924))

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Abstract

The paper describes the use of alliteration, by itself or in combination with other features, in training machine learning algorithms to perform attribution of texts of unknown/disputed authorship. The methodology is applied to a corpus of 18th century political writings, and used to improve the attribution accuracy.

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Acknowledgements

We would like to acknowledge the help of Dr. S. Petrovic and G. Berton, and the assistance of S. Campbell, who carried out some of the weighted voting experiments.

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Authors and Affiliations

  1. Computer Science Department, Iona College, 715 North Avenue, New Rochelle, NY, 10801, USA

    Lubomir Ivanov

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  1. Lubomir Ivanov
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Correspondence to Lubomir Ivanov .

Editor information

Editors and Affiliations

  1. Masaryk University , Brno, Czech Republic

    Petr Sojka

  2. Masaryk University , Brno, Czech Republic

    Aleš Horák

  3. Masaryk University , Brno, Czech Republic

    Ivan Kopeček

  4. Masaryk University , Brno, Czech Republic

    Karel Pala

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Ivanov, L. (2016). Using Alliteration in Authorship Attribution of Historical Texts. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2016. Lecture Notes in Computer Science(), vol 9924. Springer, Cham. https://doi.org/10.1007/978-3-319-45510-5_28

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  • DOI: https://doi.org/10.1007/978-3-319-45510-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45509-9

  • Online ISBN: 978-3-319-45510-5

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