Hybrid Segmentation Prototype for Arabic Text-Based Documents: Towards Plagiarism Detection

The contribution of this work relates to the field of Arabic text-based document analysis for the detection of plagiarism. This analysis will be carried out according to the triadic computation model of document similarity. The authors propose a hybrid segmentation prototype for Arabic text-based documents that links different processing steps in order to generate the similarity rate between the documents of an Arabic corpus. It involves two segmentation systems and a morphological analysis in order to obtain a matrix representation adapted to the triadic similarity computation according to three abstraction levels: documents, sentences and words. Hybrid Segmentation Prototype for Arabic TextBased Documents: Towards Plagiarism Detection