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Token-based plagiarism detection for metamodels

ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2022
Timur Sağlam   +3 more
semanticscholar   +1 more source

Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection

Conference and Labs of the Evaluation Forum
Janek Bevendorff   +15 more
semanticscholar   +1 more source

Survey on AI-Generated Plagiarism Detection: The Impact of Large Language Models on Academic Integrity

Journal of Academic Ethics
Shushanta Pudasaini   +3 more
semanticscholar   +1 more source

Academic Plagiarism Detection

ACM Computing Surveys, 2020
Tomáš Foltýnek   +2 more
exaly  

Using word semantic concepts for plagiarism detection in text documents

Information Retrieval Journal, 2021
Chia-Yang Chang   +4 more
semanticscholar   +1 more source

Plagiarism Prevention and Detection

Nurse Educator, 2015
Lisa, Broussard, Helen, Hurst
openaire   +2 more sources

Plagiarism Detection Using NLP

Plagiarism detection is a crucial task in many fields, including academia, publishing, and journalism. It involves identifying instances of plagiarism, which is the act of copying someone else's work and passing it off as one's own. One of the most promising approaches to plagiarism detection is using natural language processing (NLP).
Keshav Sharma, Mr . Rohit Maheshwari
openaire   +1 more source

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