In this research we looked for such metrics by an experimental approach that was carried out in three phases. In the first phase we learned the possible ways to plagiarize, which was done by interviewing students. Categorizing the known methods lead us to the most popular plagiarism approach that was applied by the students. Therefore an experiment was designed to simulate the real plagiarism s...

Today, Plagiarism has become a menace. Every journal editor or conference organizers has to deal with this problem. Simply Copying or rephrasing of text without giving due credit to the original author has become more common. This is considered to be an Intellectual Property Theft. We are developing a Plagiarism Detection Tool which would deal with this problem. In this paper we discuss the com...

This paper overviews 17 plagiarism detectors that have been evaluated within the sixth international competition on plagiarism detection at PAN 2014. We report on their performances for the two tasks source retrieval and text alignment of external plagiarism detection. For the third year in a row, we invite software submissions instead of run submissions for this task, which allows for cross-ye...

AraPlagDet is the first shared task that addresses the evaluation of plagiarism detection methods for Arabic texts. It has two subtasks, namely external plagiarism detection and intrinsic plagiarism detection. A total of 8 runs have been submitted and tested on the standardized corpora developed for the track. This overview paper describes these evaluation corpora, discusses the participants’ m...

This study reports on research article (RA) authors’ definitional understanding and sociocultural perceptions of intertextuality and plagiarism in academic writing. To meet this end, a questionnaire, consisting of three sections, was constructed and emailed to Iranian RA authors who have published in leading international and local applied linguistics journals. The findings of the first two sec...

Research in external plagiarism detection is mainly concerned with the comparison of the textual contents of a suspicious document against the contents of a collection of original documents. More recently, methods that try to detect plagiarism based on citation patterns have been proposed. These methods are particularly useful for detecting plagiarism in scientific publications. In this work, w...

Cross lingual plagiarism detection has recently caught attention due to copy-right violations occurring in many fields such as education, journalism, scientific research, literature, screenplays, etc, where an author would translate an article in language L1 into language L2 and then either publish/submit it or change some of the sentences to suit his/her motivations. Therefore, the need for a ...

The string matching and global word frequency model are two basic models of Document Copy Detection, although they are both unsatisfied in some respects. The String Kernel (SK) and Word Sequence Kernel (WSK) may map string pairs into a new feature space directly, in which the data is linearly separable. This idea inspires us with the Semantic Sequence Kin (SSK) and we apply it to document copy ...

Background: Planning for the decrease of scientific misconducts among students requires the recognition of subjects and relevant cases. The aim of the current study is determining the categories of scientific immorality among university students and categorizing them. Method: The current study is in the category of descriptive studies and data gathering is done using the systematic review meth...