An evolutionary neural network approach to intrinsic plagiarism detection

Abstract

Intrinsic Plagiarism Detection attempts to identify portions of a document which have been plagiarised without the use of reference collections. This is typically achieved by developing a classifier using support vector machines or hand-crafted neural networks. This paper presents an evolutionary neural network approach to the development of an intrinsic plagiarism detection classifier which is capable of evolving both the weights and structure of a neural network. The neural network is empirically tested on a corpus of documents and is shown to perform well. © 2010 Springer-Verlag.