Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： Cross-language plagiarism has always been the hardest hit for academic misbehavior. It is also a behavior that is extremely difficult to spot. Cross-language plagiarism detection and identification technology is the most urgent technology that needed to be developed. It is also the biggest technical difficulty in the field of plagiarism. Based on the summary and analysis of current researches on the monolingual plagiarism detection and cross-language plagiarism detection, aiming at the existing problem of cross-language plagiarism detection, this paper proposes a cross-language plagiarism detection technology based on fingerprint fusion. This paper also carries out experimental verification on the plagiarism set of artificial building. Through analyzing and comparing the result of experiments, it can be concluded that the method is indeed effective.
Hits
Hits
Downloads
Comment