In this paper a new approach is shown for a very fast monolingual external plagiarism detection system based on an altered n-gram concept (contextual n-gram), a new high precision contextual Information Retrieval engine, and a new pruning strategy (Referential Monotony) for plagiarism detection and its limits. The assessment results can be compared with the carried out by the winner team at PAN...

Using keyword overlaps to identify plagiarism can result in many false negatives and positives: substitution of synonyms for each other reduces the similarity between works, making it difficult to recognize plagiarism; overlap in ambiguous keywords can falsely inflate the similarity of works that are in fact different in content. Plagiarism detection based on verbatim similarity of works can be...

This paper regards the query keywords selection problem in source retrieval as learning a ranking model to choose the method of keywords extraction over suspicious document segments. Four basic methods are used in our ranking function: BM25, TFIDF, TF and EW. Then, a ranking model based on Ranking SVM is proposed to rank the query keywords group which is contributed to get the higher evaluation...

OBJECTIVES To assess undergraduate and postgraduate pharmacy students' perceptions of plagiarism and academic honesty. METHODS A questionnaire was administered to undergraduate and postgraduate pharmacy students to determine their levels of awareness of university policy concerning academic honesty; attitudes to plagiarism by rating the acceptability of a range of plagiarizing and cheating pr...

Plagiarism detection in programming assignments is still a very problematic issue, in terms of economic costs, conceptual controversy, legal risks, and detection algorithms and heuristics. In this paper, we present AC: an integrated environment for the study of plagiarism and a powerful tool for its detection. We explain the special design of AC, prepared for unlimited improvement and external ...

In automatic plagiarism detection with reference, the text fragments in a suspicious document are exhaustively searched in a set of original (reference) documents in order to determine whether they have been plagiarised or not. One of the most important factors for the success of this kind of applications is the size of the reference corpus that, at the same time, may represent a problem when w...

With the burst of open source software, software plagiarism has been a serious threat to the software industry. In this paper, we present the demo tool DBPD: Dynamic Birthmark-based Software Plagiarism Detection. Major features of DBPD could be summarized as: 1) dynamic birthmark. The execution process of software is captured to generate the birthmark reflecting intrinsic properties of software...