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A Set-Based Approach to Plagiarism Detection

Robin Küppers, Stefan Conrad
2012 Conference and Labs of the Evaluation Forum  
We use a simple set-based algorithm, that employs Dice's coefficient as a similarity measure.  ...  This paper describes our approach to the Detailed Analysis subtask of the PAN 2012 competition. Our experiments deal with monolingual plagiarism cases, only.  ...  Due to the simple approach we are not able to detect cross-language plagiarisms adequately.  ... 
dblp:conf/clef/KuppersC12 fatcat:2rhubkwk3bcy7jgdkzei7yechi

AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments [article]

M.A.C. Jiffriya, M.A.C. Akmal Jahan, R.G. Ragel, S. Deegalla
2014 arXiv   pre-print
Three sets of text based assignments were tested by AntiPlag and the results were compared against an existing commercial plagiarism detection tool.  ...  Therefore, we present AntiPlag, a fast and effective tool for plagiarism detection on text based electronic assignments.  ...  As explained earlier, a clustering approach was used to improve the detection latency of plagiarism in text based assignments.  ... 
arXiv:1403.1310v1 fatcat:cnsecmcbpncotgd6ac4oists44

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
Since we seek to cover the most influential papers on academic plagiarism detection, we consider a relevance ranking based on citation counts as an advantage rather than a disadvantage.  ...  Academic Plagiarism Detection: A Systematic Literature Review 112:3 a. Did researchers propose conceptually new approaches for this task? b.  ...  Approaches using n-gram comparisons first split a document into (possibly overlapping) ngrams, which they use to create a set-based representation of the document or passage ("fingerprint").  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu

Demonstration of citation pattern analysis for plagiarism detection

Bela Gipp, Norman Meuschke, Corinna Breitinger, Mario Lipinski, Andreas Nürnberger
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
Figure 1: Screenshot of CbPD prototype (left plagiarized translation, right source document)  ...  Acknowledgements We wish to acknowledge André Gernandt, Leif Timm, Markus Bruns, Markus Föllmer and Rebecca Böttche for their contributions.  ...  and citation-based approaches to plagiarism detection complement each other.  ... 
doi:10.1145/2484028.2484214 dblp:conf/sigir/GippMBLN13 fatcat:5lckq6xcnfgfbf24xl7gl567ye

Revisiting the Challenges and Opportunities in Software Plagiarism Detection

Xi Xu, Ming Fan, Ang Jia, Yin Wang, Zheng Yan, Qinghua Zheng, Ting Liu
2020 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)  
Furthermore, we have implemented a set of tools collectively called TOB based Plagiarism Detection tool (TOB-PD) by applying TOB to three existing representative dynamic birthmarks, including SCSSB [32  ...  For the application of existing approaches in practical software plagiarism detection, it is difficult for the plaintiff to file a software plagiarism lawsuit since it needs to provide clear evidence to  ... 
doi:10.1109/saner48275.2020.9054847 dblp:conf/wcre/XuFJW0ZL20 fatcat:adqsuz265jafjiyu2xygl2pvri

A Novel Approach for Plagiarism Detection in English Text

Shivani S, Vishal Goyal
2016 International Journal of Computer Applications  
web-based PD system to discover the similarity in English written text only.  ...  This paper presents Plagiarism detection system for the English language. Digital World provides text easily available on web interrelated to several academic areas.  ...  on textual based plagiarism detection by utilizing Exterior Detection Approach under both the web (Google) and offline (database) checking.  ... 
doi:10.5120/ijca2016912041 fatcat:xgqcfpvnpnbuxjwtamcw2tszqu

Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection [chapter]

Nava Ehsan, Azadeh Shakery
2018 Lecture Notes in Computer Science  
To retrieve plagiarised passages a plagiarism detection method based on vector space model, insensitive to context reordering, is presented.  ...  We will report our monolingual plagiarism detection system which is used to process the Persian plagiarism corpus for the task of pairwise document similarity.  ...  Acknowledgement We would like to acknowledge the assistance and information provided by Hossein Nasr Esfahani and Mahsa Shahshahani.  ... 
doi:10.1007/978-3-319-73606-8_9 fatcat:k63odg25fvawxfbptss73bqvte

Reducing computational effort for plagiarism detection by using citation characteristics to limit retrieval space

Norman Meuschke, Bela Gipp
2014 IEEE/ACM Joint Conference on Digital Libraries  
This paper proposes a hybrid approach to plagiarism detection in academic documents that integrates detection methods using citations, semantic argument structure, and semantic word similarity with character-based  ...  The proposed hybrid approach uses citation-based methods as a preliminary heuristic to reduce the retrieval space with a relatively low loss in detection accuracy.  ...  To identify plagiarism forms beyond copy and paste, non-character-based detection approaches have been explored; however, thus far, only in prototypical settings.  ... 
doi:10.1109/jcdl.2014.6970168 dblp:conf/jcdl/MeuschkeG14 fatcat:vie6oxpm2zfzpgt3jlmxrz6iom

Novel Code Plagiarism Detection Based on Abstract Syntax Tree and Fuzzy Petri Nets

Victor R. L. Shen
2019 International journal of engineering education  
This paper proposes a novel method to detect the source code plagiarisms by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax tree (AST).  ...  Furthermore, the experimental results have indicated that we can make better determination to detect the code plagiarism.  ...  Acknowledgments The authors are very grateful to the anonymous reviewers for their constructive comments which have improved the quality of this paper.Also, this work was supported by the Ministry of Science  ... 
doi:10.14710/ijee.1.1.46-56 fatcat:epmcyxg4anfopjttxzssszdjmi

Plagiarism Detection - State-of-the-art systems (2016) and evaluation methods [article]

Christina Kraus
2016 arXiv   pre-print
Based on this, we asses the current research situation in the field of plagiarism detection and derive further research questions and approaches to be tackled in the future.  ...  In this paper, we give an overview on the evaluation of plagiarism detection. We then use a taxonomy provided in former research, to classify recent approaches of plagiarism detection.  ...  Following we introduce 6 new approaches to plagiarism detection. Citation-based plagiarism detection In 2011 Gipp et al. [6] introduce a new approach to the problem of plagiarism detection.  ... 
arXiv:1603.03014v1 fatcat:mxfrxqyhznghfa7n7cc3xpslwa

Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing [chapter]

Marc Franco-Salvador, Parth Gupta, Paolo Rosso
2014 Lecture Notes in Computer Science  
In order to improve the paraphrasing detection, we use a knowledge graph-based approach to obtain and compare context models of document fragments in different languages.  ...  Experimental results in German-English and Spanish-English crosslanguage plagiarism detection indicate that our knowledge graph-based approach offers a better performance compared to other state-of-the-art  ...  This may be used in future to develop more effective plagiarism detectors. In recent years there have been a few approaches to CL similarity analysis that can be used for CL plagiarism detection.  ... 
doi:10.1007/978-3-642-54798-0_12 fatcat:ncsmncrjqjbnpd5tzmotyoh5xa


2016 Journal of Engineering Science and Technology  
Many works are already available in verbatim plagiarism detection which is a type of simple copy and paste plagiarism but when it comes to intelligent plagiarism the scenario becomes more complex.  ...  The results are compared with the baseline approach and performance is evaluated based on standard PAN measures.  ...  Classical approaches to plagiarism detection can be broadly classified into following genres via. Grammar based, Semantic based and Grammar-Semantic hybrid based approach.  ... 
doaj:966443565f4f49cf967fbcbf19dc0ccb fatcat:jgdw6p5dwfhmtlv6kvx6c777ci

Role of Text Mining in Detection of Plagiarism in Arabic Texts: An Architectural Perspective

Abdullah Al Hussein
2016 Research Journal of Applied Sciences Engineering and Technology  
A new text-mining algorithm namely Text Mining Algorithm for Plagiarism Detection (TMA-PD) is proposed to generate tokens from the given Arabic document.  ...  The aim of the study of to design and text mining tool for plagiarism detection in Arabic document.  ...  Kent and Salim (2010) propose a new approach to detect plagiarism which integrates the use of fingerprint matching technique with four key features to assist in the detection process.  ... 
doi:10.19026/rjaset.13.2943 fatcat:aganpyfs7barfiizbotc5f442u

A Plagiarism Detection Approach Based on SVM for Persian Texts

Fezeh Esteki, Faramarz Safi Esfahani
2016 Forum for Information Retrieval Evaluation  
To detect semantic similarities, a new method called "Index Words Replacement" was proposed. The proposed framework was tested on PAN data set.  ...  Numerous methods have been proposed to detect plagiarism in different languages; however, not a lot has been accomplished in Persian.  ...  In [1] , a combinational fuzzy approach was used to detect plagiarism. This approach utilized a dataset for e-learning domain.  ... 
dblp:conf/fire/EstekiE16 fatcat:tlxdq4xxkfcjhcq3hwqisppih4

Discovering Clusters of Plagiarism in Students' Source Codes

L. Moussiades, Journal of Engineering Science and Technology Review 9 (1) (2016) 8 - 12 Research Article Discovering Clusters of Plagiarism in Students' Source Codes L. Moussiades Computer and Informatics Engineering Department,Eastern Macedonia & Thrace Institute of Technology Kavala, St. Loukas 65404 Kavala, Greece
2016 Journal of Engineering Science and Technology Review  
In this paper, we propose a novel plagiarism detection algorithm that receives as input a set of source codes and calculates the clusters of plagiarism.  ...  Most of the aforementioned approaches receive as input a set of source files and calculate a similarity between each pair of the input set.  ...  Experimentally, we apply our approach on a set of real data and we show that it is efficient and compares favourably to existing plagiarism detection systems.  ... 
doi:10.25103/jestr.091.02 fatcat:y65gbta5jnbvxm4vzau7odrew4
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