InAra Plagiarism Detection Corpus

ARAbic INtrinsic plagiarism detection corpus (InAra Corpus 2013)

InAra corpus it the first corpus for the evaluation of Arabic Intrinsic plagiarism detection.

The Intrinsic Plagiarism Detection consists in uncovering the plagiarized passages on the basis of the writing style inconsistency in a given suspicious document. As opposed to the external approach, the intrinsic approach does not necessitate any comparison of the suspicious document against the potential sources of plagiarism.

InAra corpus comprises 1024 documents; 80% of them contain passages borrowed from other documents to simulate plagiarism. For each suspicious document an XML file is associated ; it contains the length and the position of each plagiarism passage.

The task of the corpus user is to develop a method that is able to detect the largest possible number of the plagiarism passages with the minimum false positives.

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