This paper outlines the main approach and the general design of the plagiarism detection prototype application we have developed to take part in the 2nd International Plagiarism Detection Competition. The developed system is a part of the larger application used at Zhytomyr State University as CMS Thesis Storage and comes under the title "Plagiarism Detector Accumulator". This application proto...

plagiarism refers to “adopting someone else’s words, work or ideas and passing them off as one’s own”. it is potentially considered as the most prevalent form of scientific dishonesty discovered in research papers. the present review aims to provide a thorough account of plagiarism to build awareness about all dimensions of plagiarism.the key words “plagiarism”, “types”, “detection” and “conseq...

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...

This report explains our plagiarism detection method using fuzzy semantic-based string similarity approach. The algorithm was developed through four main stages. First is pre-processing which includes tokenisation, stemming and stop words removing. Second is retrieving a list of candidate documents for each suspicious document using shingling and Jaccard coefficient. Suspicious documents are th...

In this paper we report on our high-performance plagiarism detection system which is able to process the PAN plagiarism corpus for the external plagiarism detection task within relatively short timescales in contrast to previously reported state-of-the-art, and still produce a reasonable degree of performance (PAN 11, 4 place, PlagDet=0.2467329, Recall=0.1500480, Precision=0.7106536, Granularit...

In this paper we report on our high-performance plagiarism detection system which is able to process the PAN plagiarism corpus for the external plagiarism detection task within relatively short timescales in contrast to previously reported state-of-the-art, and still produce a reasonable degree of performance (PAN 11, 4 place, PlagDet=0.2467329, Recall=0.1500480, Precision=0.7106536, Granularit...

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 ...

This paper describes the evolution of our method Encoplot for automatic plagiarism detection and the results of the participation to the PAN’11 competition. The main novelties are the introduction of a new similarity measure and of a new ranking method, which cooperate to rank much better the source– suspicious document pairs when selecting the candidates for the detailed analysis phase. We hav...

In this paper we present an approach to generate document filtered sets using information retrieval techniques. This is presented in the context of external document plagiarism detection, although the techniques detailed in this paper are applicable to any sort of documents or queries. Producing filtered sets, and hence limiting the problem’s search space, can be a tremendous performance improv...

Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...