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Graph transformer for cross-lingual plagiarism detection
2022
IAES International Journal of Artificial Intelligence (IJ-AI)
<span lang="EN-US">The existence of vast amounts of multilingual textual data on the internet leads to cross-lingual plagiarism which becomes a serious issue in different fields such as education, science, and literature. Current cross-lingual plagiarism detection approaches usually employ syntactic and lexical properties, external machine translation systems, or finding similarities within a multilingual set of text documents. However, most of these methods are conceived for literal plagiarism
doi:10.11591/ijai.v11.i3.pp905-915
fatcat:ikrbf7buwjconfxwxvtctyiqze