Open AccessA comparative Plagiarism Detection System methods between sentences
Author(s) -
A. Zouhir,
Rachid El Ayachi,
Mohamed Bahaj
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1743/1/012041
Subject(s) - plagiarism detection , computer science , sentence , identification (biology) , natural language processing , word (group theory) , process (computing) , artificial intelligence , similarity (geometry) , phenomenon , information retrieval , linguistics , programming language , philosophy , botany , physics , quantum mechanics , image (mathematics) , biology
After the era of the World Wide Web, information is easily accessible with a single click. But this progression has drawbacks despite the ease of access to information. Plagiarism has a growing challenge to society, which impact on the academic world, researchers, and students in particular. This work discusses the plagiarism process, types, and detection methodologies. It presents the different plagiarism detection techniques based on syntactic and semantic approaches. The result of this work is a comparative survey of plagiarism detection system methods using the identification of syntactic and semantic similarities based a sentence-to-sentence comparison, and no longer word-to-word like the classical systems because the similarity between the sentences is a complex phenomenon.