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Plagiarism is known as illegal use of others' part of work or whole work asone's own in any field such as art, poetry, literature, cinema, research andother creative forms of study. Plagiarism is one of the important issues inacademic and research fields and giving more concern in academic systems. Thesituation is even worse with the availability of ample resources on the web.This paper focuses on an effective plagiarism detection tool on identifyingsuitable intra-corpal plagiarism detection for text based assignments bycomparing unigram, bigram, trigram of vector space model with cosine similaritymeasure. Manually evaluated, labelled dataset was tested using unigram, bigramand trigram vector. Even though trigram vector consumes comparatively moretime, it shows better results with the labelled data. In addition, the selectedtrigram vector space model with cosine similarity measure is compared withtri-gram sequence matching technique with Jaccard measure. In the results,cosine similarity score shows slightly higher values than the other. Because,it focuses on giving more weight for terms that do not frequently exist in thedataset and cosine similarity measure using trigram technique is morepreferable than the other. Therefore, we present our new tool and it could beused as an effective tool to evaluate text based electronic assignments andminimize the plagiarism among students.

Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14)