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Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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Type: BOOK - Published: 2023-07-31 - Publisher: Springer Nature

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Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and
Citation-based Plagiarism Detection
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Authors: Bela Gipp
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Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy & p
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This edited book provides a comprehensive survey of the modern state of the art in forensic linguistics. Part I of the book focuses on the role of the linguist
Proceedings of International Conference on Intelligent Computing, Information and Control Systems
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This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020). It encomp
Copyright and Collective Authorship
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As technology makes it easier for people to work together, large-scale collaboration is becoming increasingly prevalent. In this context, the question of how to