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Comparing and combining Content- and Citation-based approaches for plagiarism detection

Solange de L. Pertile, Viviane P. Moreira, Paolo Rosso
2015 Journal of the Association for Information Science and Technology  
Comparing and Combining Content-and Citation-based Approaches for Plagiarism Detection.  ...  In this context, the contributions of this paper are twofold: (i) we survey the existing approaches for plagiarism detection based on content, based on content and structure, and based on citations and  ...  Finally, we thank the voluntary annotators, for identifying the significant reuse cases.  ... 
doi:10.1002/asi.23593 fatcat:muxoetm4zvdnhc3q63enfvdamy

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
The section Plagiarism Detection Systems discusses the application of detection methods in plagiarism detection systems.  ...  For each class of computational plagiarism detection methods, the section provides a description and an overview of research papers that employ the method in question.  ...  PLAGIARISM DETECTION SYSTEMS Plagiarism detection systems implement (some of) the methods described in the previous sections.  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu

Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods

Salha M. Alzahrani, Naomie Salim, Ajith Abraham
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Our study corroborates that existing systems for plagiarism detection focus on copying text but fail to detect intelligent plagiarism when ideas are presented in different words.  ...  We conduct extensive study of state-of-the-art techniques for plagiarism detection, including character n-gram-based (CNG), vector-based (VEC), syntax-based (SYN), semantic-based (SEM), fuzzy-based (FUZZY  ...  Textual Features for Extrinsic Plagiarism Detection Textual features to represent documents in extrinsic plagiarism detection include: lexical features, such as character n-gram and word n-gram; syntactic  ... 
doi:10.1109/tsmcc.2011.2134847 fatcat:umjzayni2bdobiwpkdtu7upir4

Plagiarism Detection for Indonesian Texts

Lucia D. Krisnawati, Klaus U. Schulz
2013 Proceedings of International Conference on Information Integration and Web-based Applications & Services - IIWAS '13  
We plan to improve seed alignment by regarding the offsets of sentences in which the seeds occur. This is to address the drawback of the passage boundary detection. 3 .  ...  Expectantly, this alignment method will increase the recognition rate on summarized passages too. 4 .  ...  Designing a framework for alternate execution of various detection methods based on distinct document representations in a system workflow.  ... 
doi:10.1145/2539150.2539213 dblp:conf/iiwas/KrisnawatiS13 fatcat:r6p2h4oiq5fi3mhlazokatknrq

A Plagiarism Detection Algorithm based on Extended Winnowing

Xuliang Duan, Mantao Wang, Jiong Mu, Yansong Wang
2017 MATEC Web of Conferences  
This paper introduces the method of extending classic Winnowing plagiarism detection algorithm, expands the algorithm in functionality.  ...  Mature commercial plagiarism detection system has the advantages of comprehensive and high accuracy, but the expensive detection costs make it unsuitable for real-time, lightweight application environment  ...  Acknowledgements The research is supported by the Sichuan Provincial Department of Education natural science project of "Construction of Big Data Hierarchical Storage Model for Agricultural Internet of  ... 
doi:10.1051/matecconf/201712802019 fatcat:q47nf3pk5nbxlmhhlxhro3tbhy

An Adaptive Image-based Plagiarism Detection Approach

Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel Keim, Bela Gipp
2018 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries - JCDL '18  
Plagiarism detection systems available for productive use reliably identify copied text, or near-copies of text, but often fail to detect disguised forms of academic plagiarism, such as paraphrases, translations  ...  We propose an adaptive, scalable, and extensible image-based plagiarism detection approach suitable for analyzing a wide range of image similarities that we observed in academic documents.  ...  For candidate retrieval, the systems commonly employ efficient text retrieval methods, such as n-gram fingerprinting or vector space models [15, 26] .  ... 
doi:10.1145/3197026.3197042 dblp:conf/jcdl/MeuschkeGSBKG18 fatcat:uesb4oemsjdrre5kyn7q5sle6u

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke, Michael L. Nelson, Harald Reiterer, Bela Gipp
2021 Zenodo  
To demonstrate the benefit of combining non-textual and text-based detection methods, the thesis describes the first plagiarism detection system that integrates th [...]  ...  To enable plagiarism checks of figures in academic documents, the thesis introduces an image-based detection process that adapts itself to the forms of image similarity typically found in academic work  ...  Table 2 . 4 . 24 Word n-grams detection methods. Parad.  ... 
doi:10.5281/zenodo.4913344 fatcat:xmpaahvwuva53l5l5i2gaidvi4

Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14) [article]

MAC Jiffriya, MAC Akmal Jahan, Roshan G. Ragel
2014 arXiv   pre-print
This paper focuses on an effective plagiarism detection tool on identifying suitable intra-corpal plagiarism detection for text based assignments by comparing unigram, bigram, trigram of vector space model  ...  Therefore, we present our new tool and it could be used as an effective tool to evaluate text based electronic assignments and minimize the plagiarism among students.  ...  Therefore, unigram vector space model is not an appropriate approach to detect copying of text based assignments and bigram or trigram approach can be more preferable.  ... 
arXiv:1412.7782v1 fatcat:rjv3m34e7fatliqutz22am7iyu

Maulik: A Plagiarism Detection Tool for Hindi Documents

Urvashi Garg, Vishal Goyal
2016 Indian Journal of Science and Technology  
Maulik detects plagiarism in Hindi documents. Method: Maulik divides the text into n-grams and then matches it with the text present in repository as well as with documents present online.  ...  Objective: The objective of this paper is to present an automated plagiarism detection software tool called Maulik. There are many plagiarism detection tools available for English text.  ...  Doc Cop 23 is a web based plagiarism detection system for written text. It accepts both doc and pdf files.  ... 
doi:10.17485/ijst/2016/v9i12/86631 fatcat:26nz763pendrlmcxbjdzwpak3u

Plagiarism Detection in arXiv

Daria Sorokina, Johannes Gehrke, Simeon Warner, Paul Ginsparg
2006 IEEE International Conference on Data Mining. Proceedings  
We describe a large-scale application of methods for finding plagiarism in research document collections.  ...  The methods are also efficient enough to implement as a real-time submission screen for a collection many times larger.  ...  We thank Patrick Ng for his contributions to the data cleaning code. We also thank the Cornell Theory Center for usage of their equipment to run some of the experiments.  ... 
doi:10.1109/icdm.2006.126 dblp:conf/icdm/SorokinaGWG06 fatcat:ked6vrgvcnev7oxhk4p6ubtt54

2L-APD: A Two-Level Plagiarism Detection System for Arabic Documents

El Moatez Billah Nagoudi, Ahmed Khorsi, Hadda Cherroun, Didier Schwab
2018 Cybernetics and Information Technologies  
In this paper, we report a plagiarism detection system based on two layers of assessment: 1) Fingerprinting which simply compares the documents fingerprints to detect the verbatim reproduction; 2) Word  ...  Compared to the results obtained by the systems participating in the Arabic Plagiarism Detection Shared Task 2015, our system outperforms all of them with a plagiarism detection score (Plagdet) of 83%.  ...  Recently, H u s s e i n [33] proposed a new plagiarism detection system for Arabic documents based on modeling the relation between texts and their n-gram unique sentences.  ... 
doi:10.2478/cait-2018-0011 fatcat:vxwm6pegkzbf7cclzpmf56db7u

Measuring Code Similarity in Large-Scaled Code Corpora

Chaiyong Ragkhitwetsagul
2016 2016 IEEE International Conference on Software Maintenance and Evolution (ICSME)  
We perform an evaluation of 30 similarity analysers for source code.  ...  We propose a scalable search system specifically designed for source code.  ...  Similarly, software plagiarism is a copying of source code with an intention to hide its origin and found in both computer science education [8] , [9] c 2016 IEEE.  ... 
doi:10.1109/icsme.2016.18 dblp:conf/icsm/Ragkhitwetsagul16 fatcat:4564qxjym5aebosr3cfcmlacq4

iPlag: Intelligent Plagiarism Reasoner in scientific publications

Salha Alzahrani, Naomie Salim, Ajith Abraham, Vasile Palade
2011 2011 World Congress on Information and Communication Technologies  
Relevance ranking (R-RANK) and plagiarism screening approaches (P-SCREEN) are adjusted to incorporate structural weights, citation evidences, syntax-based and semantic-based methods into plagiarism detection  ...  Existing anti-plagiarism tools are, in fact, text matching systems but do not make accurate judgments about plagiarism.  ...  Exact string matching techniques have been applied widely to detect copied paragraphs, sentences and long sequences, such as word n-grams [24, 25] .  ... 
doi:10.1109/wict.2011.6141191 fatcat:djwvq23efvcjlg6ohboeg6iopu

State of the Art in Detecting Academic Plagiarism

Norman Meuschke, Bela Gipp
2013 Zenodo  
In the future, plagiarism detection systems may benefit from combining traditional character-based detection methods with these emerging detection approaches.  ...  Consequently, methods and systems aiding in the detection of plagiarism have attracted much research within the last two decades.  ...  Therefore, methods and systems capable of partially automating plagiarism detection (PD) are an active area of research.  ... 
doi:10.5281/zenodo.3482941 fatcat:e4bl72bt3nboxnjig5nvkpciv4


Norman Meuschke, Vincent Stange, Moritz Schubotz, Bela Gipp
2018 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18  
Current plagiarism detection systems reliably find instances of copied and moderately altered text, but often fail to detect strong paraphrases, translations, and the reuse of non-textual content and ideas  ...  To improve upon the detection capabilities for such concealed content reuse in academic publications, we make four contributions: i) We present the first plagiarism detection approach that combines the  ...  The first method performs basic set-based character 3-gram matching for all characters in an image.  ... 
doi:10.1145/3209978.3210177 dblp:conf/sigir/MeuschkeSSG18 fatcat:2cxpupoftfcqvej3bttv2ctpyq
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