Open AccessDissertation
Detecting plagiarism in the forensic linguistics turn
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TLDR
In this article, the authors investigated whether plagiarism involves an intention to deceive, and, in this case, whether forensic linguistic evidence can provide clues to this intentionality, and also evaluated current computational approaches to plagiarism detection, and identified strategies that these systems fail to detect.Abstract:
This study investigates plagiarism detection, with an application in forensic contexts. Two types of data were collected for the purposes of this study. Data in the form of written texts were obtained from two Portuguese Universities and from a Portuguese newspaper. These data are analysed linguistically to identify instances of verbatim, morpho-syntactical, lexical and discursive overlap. Data in the form of survey were obtained from two higher education institutions in Portugal, and another two in the United Kingdom. These data are analysed using a 2 by 2 between-groups Univariate Analysis of Variance (ANOVA), to reveal cross-cultural divergences in the perceptions of plagiarism. The study discusses the legal and social circumstances that may contribute to adopting a punitive approach to plagiarism, or, conversely, reject the punishment. The research adopts a critical approach to plagiarism detection. On the one hand, it describes the linguistic strategies adopted by plagiarists when borrowing from other sources, and, on the other hand, it discusses the relationship between these instances of plagiarism and the context in which they appear. A focus of this study is whether plagiarism involves an intention to deceive, and, in this case, whether forensic linguistic evidence can provide clues to this intentionality. It also evaluates current computational approaches to plagiarism detection, and identifies strategies that these systems fail to detect. Specifically, a method is proposed to translingual plagiarism. The findings indicate that, although cross-cultural aspects influence the different perceptions of plagiarism, a distinction needs to be made between intentional and unintentional plagiarism. The linguistic analysis demonstrates that linguistic elements can contribute to finding clues for the plagiarist’s intentionality. Furthermore, the findings show that translingual plagiarism can be detected by using the method proposed, and that plagiarism detection software can be improved using existing computer tools.read more
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Journal ArticleDOI
Outsiders Studies in the Sociology of Deviance.
TL;DR: In the 1966 paperback edition of a publication which first appeared in 1963 has by now been widely reviewed as a worthy contribution to the sociological study of deviant behavior as discussed by the authors, and the authors developed a sequential model of deviance relying on the concept of career, a concept originally developed in studies of occupations.
Journal Article
Research Methods in Applied Linguistics, de Z. Dörnyei
TL;DR: Dornyei, Zoltan (2007)Research Methods in Applied LinguisticsOxford: Oxford University Press; as discussed by the authors 978-0-19-442258-1.336 paginas
References
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Book ChapterDOI
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
TL;DR: This paper explores the use of Support Vector Machines for learning text classifiers from examples and analyzes the particular properties of learning with text data and identifies why SVMs are appropriate for this task.
Book
Critical Discourse Analysis: The Critical Study of Language
TL;DR: In this paper, the authors propose a dialectical-relational approach to critical discourse analysis in social research, which is based on the New Sociology of Capitalism and Critical Discourse Analysis.
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