PlagCheck: An efficient way to identify Plagiarism using BERT

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Kanak Kalyani
Abhiyant Gwalani
Varun Kalbhore
Shreya Rai

Abstract

Plagiarism is stealing someone’s ideas and presenting them as yours. University students’ use of plagiarism is a serious problem that compromises their preparation and the university’s attempts to produce qualified graduates. Universities attempt to combat this issue with strong ethics regulations, but in order to put these policies into effect; they need the appropriate plagiarism detection tools at reasonable prices. In this article, we introduce PlagCheck, a high-volume, quick, and affordable plagiarism detection system created using the word embeddingsmodel and intended for use on text-based student assignments (essays, theses, homework). We go over the benefits of this approach in terms of cost, accuracy, and speed. This software will help educators and reduce their workload by helping them check plagiarism for each student’s assignment quickly and efficiently. 

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Author Biographies

Kanak Kalyani, Shri Ramdeobaba College of Engineering and Management,Nagpur

Kanak Kalyani is working as an Assistant Professor at Shri Ramdeobaba College of Engineering and Management, Nagpur. Her research interests are Image Processing, Deep
Learning, Computer Vision. She received her MTech degree from Visvesvaraya National
Institute of Technology, Nagpur.

Abhiyant Gwalani, Shri Ramdeobaba College of Engineering and Management , Nagpur

Abhiyant Gwalani is currently pursuing his Undergraduate degree in Computer Science
at the Department of Computer Science and Engineering. He is A DevOps and Cloud
Native enthusiast.

Varun Kalbhore, Shri Ramdeobaba College of Engineering and Management , Nagpur

Varun Kalbhore is a student, currently pursuing his Undergraduate degree in Computer
Science at the Department of Computer Science and Engineering. His research interests
include cloud services, machine learning, artificial intelligence and natural language processing.

Shreya Rai, Shri Ramdeobaba College of Engineering and Management , Nagpur

Shreya Rai is currently pursuing B.E in Computer Science and Engineering at Shri
Ramdeobaba College of Engineering and Management, Maharashtra, India. Her research
interests lie in Machine learning (ML) and Natural Language Processing (NLP).

How to Cite
Kanak Kalyani, Abhiyant Gwalani, Varun Kalbhore, & Shreya Rai. (2023). PlagCheck: An efficient way to identify Plagiarism using BERT. International Journal of Next-Generation Computing, 14(1). https://doi.org/10.47164/ijngc.v14i1.1030

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