Abstract:
Plagiarism is known as illegal use of others’ part of work or whole work as one’s own
in any field such as art, poetry, literature, cinema, research and other creative forms of
study. Plagiarism is one of the important issues in academic and research fields and
giving severe concern in academic systems. The situation is even worse with the
availability of ample resources on the web. This paper focuses on an effective
plagiarism detection tool on identifying suitable intra-corpal plagiarism detection for
text based assignments by comparing unigram, bigram, trigram of vector space model
with cosine similarity measure. Manually evaluated, labeled data set was tested using
unigram, bigram and trigram vector. Trigram shows better results with the labeled data.
Because cosine similarity measure using trigram technique focuses on giving more
weight for terms that do not frequently exist in the dataset. Even though trigram vector
consumes comparatively more time, it is more preferable than the other techniques.
Therefore, we present our new tool and it could be used as an effective tool to evaluate
text based electronic assignments and minimize the plagiarism among students.
