EXPLORING STATE-OF-THE-ART SOFTWARE FOR FORENSIC AUTHORSHIP IDENTIFICATION

Authors

  • Victoria Guillén Nieto
  • Chelo Vargas Sierra
  • María Pardiño Juan
  • Patricio Martínez Barco
  • Armando Suárez Cueto
Keywords: forensic linguistics, language, crime, law, software for forensic authorship identification

Abstract

Back in the 1990s Malcolm Coulthard announced the beginnings of an emerging discipline, forensic linguistics, resulting from the interface of language, crime and the law. Today the courts are more than ever calling on language experts to help in certain types of cases, such as authorship identification, plagiarism, legal interpreting and translation, statement analysis, and voice identification. The application of new technologies to the analysis of questioned texts has greatly facilitated the work of the language scientist as expert witness in the legal setting, and contributed to the successful analysis and interpretation of style providing statistical and measurable data. This article aims at presenting linguists and researchers in forensic linguistics with an exploration of the strengths, limitations and challenges of stateof- the-art software for forensic authorship identification.

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Author Biographies

Victoria Guillén Nieto

Departamento de Filología Inglesa Campus de San Vicente del Raspeig Alicante

Chelo Vargas Sierra

Departamento de Filología Inglesa Campus de San Vicente del Raspeig Alicante

María Pardiño Juan

Departamento de Filología Inglesa Campus de San Vicente del Raspeig Alicante

Patricio Martínez Barco

Departamento de Filología Inglesa Campus de San Vicente del Raspeig Alicante

Armando Suárez Cueto

Departamento de Filología Inglesa Campus de San Vicente del Raspeig Alicante
How to Cite
Guillén Nieto, V., Vargas Sierra, C., Pardiño Juan, M., Martínez Barco, P., & Suárez Cueto, A. (2008). EXPLORING STATE-OF-THE-ART SOFTWARE FOR FORENSIC AUTHORSHIP IDENTIFICATION. International Journal of English Studies, 8(1), 1-28. Retrieved from https://revistas.um.es/ijes/article/view/49071