Plagiarism detection has been considered as a classification problem which can be approximated with intrinsic strategies, considering self-based information from a given document, and external strategies, considering comparison techniques between a suspicious document and different sources. In this work, both intrinsic and external approaches for plagiarism detection are presented. First, the m...

In this paper we have done an overview of effective plagiarism detection methods that have been used for natural language text plagiarism detection, external plagiarism detection, clustering-base plagiarism detection and some methods used in code source plagiarism detection, also we have done a comparison between five of software used for textual plagiarism detection: (PlagAware, PlagScan, Chec...

External plagiarism detection is a unique retrieval process where the algorithm has to provide an evidence of plagiarism if any for a suspicious section from the pool of source documents available. This paper focuses on paraphrasing involved in detection of plagiarism both from monolingual and cross-lingual aspect. In order to investigate the challenges in detection, we further analyse the perf...

This paper overviews eleven plagiarism detectors that have been developed and evaluated within PAN’11. We survey the detection approaches developed for the two sub-tasks “external plagiarism detection” and “intrinsic plagiarism detection,” and we report on their detailed evaluation based on the third revised edition of the PAN plagiarism corpus PAN-PC-11.

Here we describe our algorithm for detecting external plagiarism in PAN-10 competition. The algorithm has two steps 1. Identification of similar documents and the plagiarized section for a suspicious document with the source documents using Vector Space Model (VSM) and cosine similarity measure and 2. Identify the plagiarized area in the suspicious document using Chunk ratio.

This paper aims to explain the performance of plagiarism detection system which can detect External as well as Intrinsic Plagiarism in text. It reports the results on PAN-PC-2011 test corpus. We investigated Vector Space Model based techniques for detecting external plagiarism cases and discourse markers based features to detect intrinsic plagiarism cases.

The 1st International Competition on Plagiarism Detection, held in conjunction with the 3rd PAN workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, brought together researchers from many disciplines around the exciting retrieval task of automatic plagiarism detection. The competition was divided into the subtasks external plagiarism detection and intrinsic plagiarism dete...

The 1st International Competition on Plagiarism Detection, held in conjunction with the 3rd PAN workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, brought together researchers from many disciplines around the exciting retrieval task of automatic plagiarism detection. The competition was divided into the subtasks external plagiarism detection and intrinsic plagiarism dete...

Currently there are lots of plagiarism detection approaches. But few of them implemented and adapted for Persian languages. In this paper, our work on designing and implementation of a plagiarism detection system based on preprocessing and NLP technics will be described. And the results of testing on a corpus will be presented. Keywords— External Plagiarism, Plagiarism, Copy detection, natural ...

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...