Authorship Analysis in Forensic Linguistics: History, Conception and Methodological Review. Application of the Likelihood Ratio to Short Texts in Spanish
Keywords:
Forensic linguistics, authorship attribution, likelihood ratio, corpus linguistics, text analysisAbstract
Authorship analysis refers to all those techniques aiming at determining who has written a certain text. In recent years, there has been a big development of this type of works, leading to a quick development of the discipline. This paper defines its origin and current situation, identifies its fields of application, and outlines its current methodological foundations. In this respect, the Likelihood Ratio is an appropriate approach to show the strength of the evidence in forensic sciences. This study builds a small corpus of short electronic texts and shows main issues to be resolved for its correct application: the selection of features, the appropriate characterization of an author's style based on them, and the calculation of probabilities and their interpretation.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Revista Signos. Estudios de Lingüística

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright agreement:
Authors who have a manuscript accepted for publication in this journal agree to the following terms:
Authors will retain their copyright and grant the journal the right of first publication of their work by means of this copyright agreement document, which is subject to the Creative Commons Acknowledgment License that allows third parties to share the work provided that its author and first publication in this journal are indicated.
Authors may adopt other non-exclusive license agreements for distribution of the published version of the work (e.g., depositing it in an institutional repository or publishing it in a monographic volume) as long as the initial publication in this journal is indicated.
Authors are allowed and encouraged to disseminate their work via the internet (e.g., in institutional publications or on their website) before and during the submission process, which can lead to interesting exchanges and increase citations of the published work (read more here).