Download PDFOpen PDF in browserSemantic Exploration of Textual Analogies for Advanced Plagiarism DetectionEasyChair Preprint 125044 pages•Date: March 15, 2024AbstractThis study explores textual analogies in French within the context of plagiarism detection, adopting a semantic approach. By combining traditional methods with advanced models such as BERT and GPT, the paper proposes a hybrid model to 8 enhance detection efficiency. Comparative evaluation highlights the model's ability to detect subtle similarities and paraphrases. The approach represents a significant advancement in accurate plagiarism detection by leveraging deep contextual understanding and the reformulation capabilities of integrated models. Keyphrases: BERT, GPT, Natural Language Processing, Plagiarism, Textual Analogies, combined model, semantics
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