Overview of the 2nd 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

We experimented with another chunking algorithm, which produces chunks on a sentence level (1 natural sentence = 1 chunk), but we drop this approach due to a below

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

There are two novelties in this year’s vandalism detection task that led to the devel- opment of new features: the multilingual corpora of edits and the permission to use

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