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Automatically Determining an Anonymous Author’s Native Language

  • Moshe Koppel
  • Jonathan Schler
  • Kfir Zigdon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

Abstract

Text authored by an unidentified assailant can offer valuable clues to the assailant’s identity. In this paper, we show that stylistic text features can be exploited to determine an anonymous author’s native language with high accuracy.

Keywords

Support Vector Machine Native Language Error Type Function Word Definite Article 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Moshe Koppel
    • 1
  • Jonathan Schler
    • 1
  • Kfir Zigdon
    • 1
  1. 1.Department of Computer ScienceBar-Ilan UniversityRamat-GanIsrael

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