Cross-language variant of automatic plagiarism detection tries to detect plagiarism among documents across language pairs. In recent years a few approaches are proposed that use thesauri, alignment models or statistical dictionaries to deal with the similarity across languages. We propose a new approach to the crosslanguage plagiarism detection that makes use of a multilingual semantic network ...

Plagiarism detection created providing similar options are detected inside identical distance of options associated to connect blocks. Copy-move Plagiarism may be a specific style of image meddling wherever a vicinity of the image is traced and glued on another part usually to hide unwanted parts of the image. Hence, the goal of conversion of copy-move plagiarism is to detect image that are sam...

Plagiarism is a pervasive form of academic dishonesty in collegiate settings. Since it distorts learning and assessment, deterring and detecting it are crucial to maintaining academic integrity. Large class sizes and an increase in writing assignments that result from writing across the curriculum combine to make detection of plagiarism burdensome. The concomitant rapid increase of written mate...

Increasing access to and availability of electronic resources presents students with a rich library of opportunities for independent study. But students also find themselves in the confusing territory of how they should best use these resources within their assessment activities. Likewise, teaching institutions are faced with the problems of plagiarism and collusion, and the challenges of educa...

detection procedure consisted of automatic scanning of manuscripts using plagiarism detection software (eTBLAST and CrossCheck) and manual verification of manuscripts suspected of having been plagiarized (more than 10% text similarity). They found that 11% of manuscripts were plagiarized, 8% were true plagiarism, and 3% were self-plagiarism. The Korean Journal of family medicine (KJFM) has also...

This report discusses in detail methods of plagiarism and its detection in both natural and programming languages. The increase of material now available in electronic form and improved access to this via the Internet is allowing, with greater ease than ever before, plagiarism that is either intentional or unintentional. Due to increased availability of On-line material, people checking for pla...

Plagiarism is a widespread problem in assessment tasks; in computing courses, students often plagiarise source code. For all but the smallest classes, manual detection of such plagiarism is impractical, and, while automated tools are available, none has been applied to detect inter-lingual plagiarism, where source code is copied from one language to another. In this work, we propose a novel app...

Plagiarism has always been a concern in many sectors, particularly in education. With the sharp rise in the number of electronic resources available online, an increasing number of plagiarism cases has been observed in recent years. As the amount of source materials is vast, the use of plagiarism detection tools has become the norm to aid the investigation of possible plagiarism cases. This pap...

With the advent of the internet and easy access to digital libraries, plagiarism has become a major issue. Applying search engines is one of the plagiarism detection techniques that converts plagiarism patterns to search queries. Generating suitable queries is the heart of this technique and existing methods suffer from lack of producing accurate queries, Precision and Speed of retrieved result...