Developing a corpus of plagiarised short answers.

Plagiarism is widely acknowledged to be a significant and increasing problem for higher education institutions (McCabe ; Judge ). A wide range of solutions, including several commercial systems, have been proposed to assist the educator in the task of identifying plagiarised work, or even to detect...

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Publicado en:Language Resources & Evaluation Vol. 45; no. 1; pp. 5 - 25
Autores principales: Clough, Paul, Stevenson, Mark
Formato: Artículo
Publicado: Springer Nature Feb2011
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Clough, Paul
          Stevenson, Mark
        affil:
          Department of Information Studies, University of Sheffield, Regent Court, 211 Portobello Sheffield S1 4DP UK
          Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Sheffield S1 4DP UK
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        Plagiarism
        Language & languages
        Universities & colleges
        Educators
        Students
        Higher education
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          Plagiarism
          Language & languages
          Universities & colleges
          Educators
          Students
          Higher education
      keyword:
        Corpus creation
        Language resources
        Plagiarism detection
      ab: Plagiarism is widely acknowledged to be a significant and increasing problem for higher education institutions (McCabe ; Judge ). A wide range of solutions, including several commercial systems, have been proposed to assist the educator in the task of identifying plagiarised work, or even to detect them automatically. Direct comparison of these systems is made difficult by the problems in obtaining genuine examples of plagiarised student work. We describe our initial experiences with constructing a corpus consisting of answers to short questions in which plagiarism has been simulated. This corpus is designed to represent types of plagiarism that are not included in existing corpora and will be a useful addition to the set of resources available for the evaluation of plagiarism detection systems.
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    language: English
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