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Determination of writing styles to detect similarities in digital documents
Determinación de estilos de escritura para la detección de similitudes entre documentos digitales
International Journal of Educational Technology in Higher Education volume 11, pages 128–141 (2014)
Abstract
Anything involving human intellect is at risk of being plagiarised. This includes scientific and literary works such as articles, theses, audiovisual works, plans, projects and computer programs. However, this article pays special attention to the existence of this phenomenon in written works in general, and in digital documents in natural or programming languages in particular. The objective of the research is to develop and apply a mathematical model that allows the writing style used in the drafting of texts to be determined. The results obtained from the application of the procedure are intended to serve as the basis for reducing the number of documents that need to be compared in order to analyse and detect similarities in them. The procedure was experimentally applied to a set of articles classified by topic and author, where the writing styles used to draft them differed.
Resumen
Todo lo inherente al intelecto humano es susceptible de actos de plagio: obras científicas y literarias tales como artículos, tesis, obras audiovisuales, planos y proyectos, códigos fuentes de programas, entre otros. Sin embargo, el presente trabajo dedica especial atención a la existencia de este fenómeno en obras escritas, en concreto documentos digitales provenientes de lenguajes naturales o de programación, y centra su objetivo en el desarrollo y aplicación de un modelo matemático que permite determinar el estilo de escritura empleado en la redacción de los textos. Los resultados que se esperan obtener a partir de la aplicación del procedimiento servirán de base para la reducción en el número de documentos que se deben comparar en el análisis y detección de similitudes entre estos documentos. De forma experimental se aplica el procedimiento a un grupo de artículos clasificados por temáticas y autores y que difieren entre ellos en el estilo de escritura utilizado para su redacción.
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Ril Gil, Y., Toll Palma, Y.d.C. & Fonseca Lahens, E. Determination of writing styles to detect similarities in digital documents. Int J Educ Technol High Educ 11, 128–141 (2014). https://doi.org/10.7238/rusc.v11i1.1783
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DOI: https://doi.org/10.7238/rusc.v11i1.1783