Overview of the 1st International Competition on Plagiarism Detection

Cross-Year Evaluation of 2012 and 2013 Tables 3 to 6 show the performances of all 18 plagiarism detectors submitted last year and this year that implement text alignment on both

After a set of candidate source documents has been retrieved for a suspicious doc- ument, the follow-up task of an external plagiarism detection pipeline is to analyze in detail

The alignment of the documents is carried out by a method that matches the words from the suspicious and source documents; the straighter the alignment, the greater the

In Notebook Papers of CLEF 2011 LABs and Workshops, 19-22 September, Amsterdam, The Netherlands, September 2011.. [2] Neil Cooke, Lee Gillam, Henry Cooke Peter Wrobel, and

Table 3 summarizes the detection performances with regard to portions of the evaluation corpus that are intended for external plagiarism detection and intrin- sic plagiarism

Finally, we train and evaluate a meta detector which combines the predictions made by the individual detectors to determine what performance can be expected from a detector

Identification of similar documents and the plagiarized section for a suspicious document with the source documents using Vector Space Model (VSM) and cosine

The comparison of the software shown that still now their no software that can detect or to prove that the document has been plagiarize 100%, because each soft- ware and tool