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This research introduces an approach for the prediction and detection of plagiarized text based on Semantic Role Labelling (SRL) and Support Vector Machine (SVM). The introduced method evaluates and analyses text based on semantic position for each term within the text. It additionally detects the source semantic sense in considering the connections between its terms using the Semantic Role Labeling (SRL). SRL presents noteworthy remuneration while creating roles from a text semantically.doi:10.21833/ijaas.2017.08.016 fatcat:eollj72fljbmpkqjerjsca3rre