International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 125 - Number 11 |
Year of Publication: 2015 |
Authors: Ramesh R. Naik, Maheshkumar B. Landge, C. Namrata Mahender |
10.5120/ijca2015906113 |
Ramesh R. Naik, Maheshkumar B. Landge, C. Namrata Mahender . A Review on Plagiarism Detection Tools. International Journal of Computer Applications. 125, 11 ( September 2015), 16-22. DOI=10.5120/ijca2015906113
Plagiarism has become an increasingly serious problem in the academic world. It is aggravated by the easy access to and the ease of cutting and pasting from a wide range of materials available on the internet. It constitutes academic theft - the offender has 'stolen' the work of others and presented the stolen work as if it were his or her own. It goes to the integrity and honesty of a person. It stifles creativity and originality, and defeats the purpose of education The plagiarism is a widespread and growing problem in the academic process. The traditional manual detection of plagiarism by human is difficult, not accurate, and time consuming process as it is difficult for any person to verify with the existing data. The main purpose of this paper is to present existing tools about in regards with plagiarism detection. Plagiarism detection tools are useful to the academic community to detect plagiarism of others and avoid such unlawful activity. This paper describes some of the plagiarism detection tools available for plagiarism checking and types of plagiarism.