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<p>This paper provides a thorough account of the functionalities of the software ALTXA 2.0. It is a free, Java-based software designed to integrate a wide catalogue of authorship tests characteristic of the field of forensic linguistics in an intuitive interface so that it can be accessible to researchers and students without a solid background in programming. These functionalities are divided into four different tabs, namely <i>Text Analysis</i>, <i>Hapax</i>, <i>N-gram Tracing</i> and <i>Zeta test</i>, which are explained in depth and tested on samples of known authorship. Lastly, the paper includes an original study in which a group of university students were presented with a case of authorship analysis involving an anonymous threatening letter produced by one of their peers. The results show that, when given the possibility to work with a variety of computational tools, most participants conducted their analyses using ALTXA. Further findings of the study also address the specific authorship tests selected to solve the case.</p>

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A Case Study with the Software ALTXA 2.0 for Forensic Authorship Analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月7日

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  • Juan Antonio Latorre García

摘要

This paper provides a thorough account of the functionalities of the software ALTXA 2.0. It is a free, Java-based software designed to integrate a wide catalogue of authorship tests characteristic of the field of forensic linguistics in an intuitive interface so that it can be accessible to researchers and students without a solid background in programming. These functionalities are divided into four different tabs, namely Text Analysis, Hapax, N-gram Tracing and Zeta test, which are explained in depth and tested on samples of known authorship. Lastly, the paper includes an original study in which a group of university students were presented with a case of authorship analysis involving an anonymous threatening letter produced by one of their peers. The results show that, when given the possibility to work with a variety of computational tools, most participants conducted their analyses using ALTXA. Further findings of the study also address the specific authorship tests selected to solve the case.