Analytical Study of Traditional and Intelligent Textual Plagiarism Detection Approaches-Reference-Cited by-同舟云学术

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Analytical Study of Traditional and Intelligent Textual Plagiarism Detection Approaches

Published:2022-03-01 Issue:1 Volume:31 Page:8-25
ISSN:2664-2530
Container-title:JOURNAL OF EDUCATION AND SCIENCE
language:en
Short-container-title:J.Edu.Sci.

Author:

Ali Ayob,Taqa Alaa

Publisher

University of Mosul

Subject

General Medicine

Link

https://edusj.mosuljournals.com/article_170205_9e6903c126ddcdd5fba0e9f7c9f01f1f.pdf

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning model for chatGPT usage detection in students’ answers to open-ended questions: Case of Lithuanian language;Education and Information Technologies;2024-03-09

2. DocCompare: An Approach to Prevent the Problem of Character Injection in Document Similarity Algorithm;Mathematics;2022-11-14

3. An Intelligent Approach for Semantic Plagiarism Detection in Scientific Papers;2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM);2022-08-31

4. Textual Plagiarism Detection Using Embedding Models and Siamese LSTM;2022 International Conference for Natural and Applied Sciences (ICNAS);2022-05-14

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