Automatic Student Plagiarism Detection: Future Perspectives

• DOI: 10.2190/ec.43.4.e
• Publication Date: 2010-12-08T02:04:32Z
• Authors: Maxim Mozgovoy; Tuomo Kakkonen; Georgina Cosma
• Keywords: Plagiarism detection

The availability and use of computers in teaching has seen an increase the rate plagiarism among students because wide electronic texts online. While computer tools that have appeared recent years are capable detecting simple forms plagiarism, such as copy-paste, a number research studies devoted to evaluation comparison detection revealed these contain limitations complex extensive paraphrasing technical tricks, replacing original characters with similar-looking from foreign alphabets. This article investigates automatic student proposes ways on how issues could be tackled future systems by applying various natural language processing information retrieval technologies. A classification types is presented, analysis provided most promising technologies potential dealing current state-of-the-art systems. Furthermore, concludes discussion legal ethical related software. article, hence, provides “roadmap” for developing next generation