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Plagiarism Detection

AI can Check the Authenticity of submitted students’ work. It can do that by detecting exact word matches, word rearrangements, word substitutions, and hidden symbols. It can also detect changes from active to passive voice,  and synonymization. 

Doing that minimizes the time spent reviewing assignments and research papers, improves the accuracy of detecting plagiarism, and generates less false positives

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1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

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3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Identifying Machine-Paraphrased Plagiarism

200,767 paragraphs (98,282 original, 102,485paraphrased) extracted from 8,024 Wikipedia (English) articles (4,012 original, 4,012 paraphrased using the SpinBot API).


Off-the-Shelf Products using AI for Plagiarism Detection

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