An Improved SRL Based Plagiarism Detection Technique Using Sentence Ranking

Abstract

Plagiarism means intellectual theft which consists of turning someone else's work as your own. Plagiarism has become widespread in many fields like institutions, companies etc. This paper proposes a new technique which uses Semantic Role Labelling and Sentence Ranking for plagiarism detection. Sentence ranking gives suspicious and original sentence pairs through vectorising the document. Then proposed method analyses and compares the ranked suspected and original documents based on the semantic allocation of each term in the sentence using SRL. It was found out that the application of sentence ranking in plagiarism detection method decreases the time of checking.