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Evaluation of Different Plagiarism Detection Methods: A Fuzzy MCDM Perspective

Kamal Mansour Jambi, Imtiaz Hussain Khan, Muazzam Ahmed Siddiqui
2022 Applied Sciences  
This paper evaluates the different academic plagiarism-detection methods using the fuzzy MCDM (multi-criteria decision-making) method and provides recommendations for the development of efficient plagiarism-detection  ...  Plagiarism-checking software programs are useful for detecting plagiarism in examinations, projects, publications, and academic research.  ...  Semantics-preserving Semantics-preserving plagiarism relates to advanced kinds of obfuscation in which the words, as well as sentence structure, are changed while the sense of passages is preserved [43  ... 
doi:10.3390/app12094580 fatcat:ahqjb3djwvgyln76fwe4xopfza

Plagiarism Detection Process using Data Mining Techniques

Mahwish Abid, Muhammad Usman, Muhammad Waleed Ashraf
2017 International Journal of Recent Contributions from Engineering, Science & IT  
There are various tools which can be used for plagiarism detection. Some works on intrinsic plagiarism while other work on extrinsic plagiarism.  ...  Data mining the field which can help in detecting the plagiarism as well as can help to improve the efficiency of the process. Different data mining techniques can be used to detect plagiarism.  ...  These actions lead towards lack of learning in students. So there is a need of detecting the plagiarism to increase and improve the learning of students [2] .  ... 
doi:10.3991/ijes.v5i4.7869 fatcat:zinsrg5dgngk5pdq5ftrouujcq

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
The Discussion section summarizes the advances in plagiarism detection research and outlines open research questions.  ...  Over the period we review, the field has seen major advances regarding the automated detection of strongly obfuscated and thus hard-to-identify forms of academic plagiarism.  ...  While these are promising steps toward improving plagiarism detection for Arabic, Wali et al.  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu


Aleksejs Grocevs, Natālija Prokofjeva
2019 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
To address this issue in past decade multiple plagiarism detection techniques and algorithms were invented.  ...  detection.  ...  The Graph structure provides the different idea to the Structure based and Semantic plagiarism detection algorithms types.  ... 
doi:10.17770/etr2019vol2.4058 fatcat:wdhe7fl2lbckdc4z6gzderkpli

Identifying Cross-Lingual Plagiarism Using Rich Semantic Features and Deep Neural Networks: A Study on Arabic-English Plagiarism Cases

Salha Alzahrani, Hanan Aljuaid
2020 Journal of King Saud University: Computer and Information Sciences  
Detecting semantic relations across languages has become possible with the recent advances in lexical knowledgebase resources [5] [6] [7] [8] [9] [10] [11] [12] .  ...  This paper attempts to investigate two tasks, namely, cross-lingual semantic text similarity (CL-STS) and plagiarism detection and judgement (PD) using deep neural networks, which, to the best of our knowledge  ...  semantic similarity measures to detect highly obfuscated plagiarism cases on handmade paraphrases and artificial plagiarism cases [28] .  ... 
doi:10.1016/j.jksuci.2020.04.009 fatcat:tkptcplybfch5b7jxpqu5lh2iu

The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy [article]

Oscar Karnalim, Setia Budi
2018 arXiv   pre-print
Low-level approach is a novel way to detect source code plagiarism.  ...  We evaluate the effectiveness of state of the art in low-level approach based on Faidhi \& Robinson's plagiarism level taxonomy; real plagiarism cases are employed as dataset in this work.  ...  Having comment mismatches in advance.  ... 
arXiv:1805.11035v1 fatcat:iyhrqfqm5bezbm4npm4cxtzpp4

Social network aided plagiarism detection

Aljaž Zrnec, Dejan Lavbič
2015 British Journal of Educational Technology  
detection process, thereby enhancing the overall efficiency of the plagiarism detection process.  ...  the exploration of obtained data by seeking of advanced patterns of plagiarism.  ...  The communication interactions will be analyzed by using advanced methods of text analysis.  ... 
doi:10.1111/bjet.12345 fatcat:k7lamjaf3vhpjlfaqvli6isnzi

Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation

Oscar KARNALIM, Setia BUDI, Hapnes TOBA, Mike JOY
2019 Informatics in Education. An International Journal  
Unique to this dataset, both intention to plagiarise and advanced plagiarism attacks are considered in its construction.  ...  Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue.  ...  Further observation shows that, at higher levels, more advanced plagiarism attacks are used and those attacks are hard to detect.  ... 
doi:10.15388/infedu.2019.15 fatcat:6adbfnvohfg5tm6gpoif2ctaei

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)  
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  ...  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.  ...  This study extends the taxonomy in [33] and relates different types of plagiarism with recent advances of detection methods.  ... 
doi:10.1109/tsmcc.2011.2134847 fatcat:umjzayni2bdobiwpkdtu7upir4

Towards the Enhancement of Text Plagiarism Detection Effectiveness: Experimental Study

Waseem Alromema
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Most available Plagiarism Detection (PD) tools start the detection process with a preprocessing stage.  ...  As a result of massive insufficient plagiarism information, many academic researchers need to check their documents for plagiarism.  ...  However, huge effort was paid for plagiarism detection and even plagiarism prevention systems.  ... 
doi:10.30534/ijatcse/2020/201942020 fatcat:l7ciznuxrrasvcaofpnv6auk64

Similarity Check to Detect Text Data Plagiarism

robbery which is reliably kind of a zone subordinate and the ones that are tangling the issue in principal way.[1],[3] The setting of the dispute considered above prompts focusing in this doctoral theory, towards  ...  Plagiarism Checker Rate of plagiarism for each and every sentence is detected from that whole plagiarism rate is found.  ...  Step 5: Display the no of plagiarized sentences and total plagiarism rate. C. Finding similarity using Cosine Similarity Based on cosine similarity each sentence plagiarism is detected.  ... 
doi:10.35940/ijitee.e2882.039520 fatcat:bl7b5caohffb3pvac24wvpwipq

Attitude of Postgraduate Students towards Plagiarism in University of Port Harcourt

G. W. Orluwene, A. E. Magnus-Arewa
2020 Asian Journal of Education and Social Studies  
while the Master students had negative attitude towards plagiarism.  ...  Findings revealed that most postgraduate students of the University of Port Harcourt had a positive attitude towards plagiarism, the male postgraduate student had a negative attitude towards plagiarism  ...  Grammar Semantics Hybrid Plagiarism Detection Methods.  ... 
doi:10.9734/ajess/2020/v7i230193 fatcat:t4xhhdj5lrf3bi2ani7vevnzye

Plagiarism: Taxonomy, Tools and Detection Techniques [article]

Hussain A Chowdhury, Dhruba K Bhattacharyya
2018 arXiv   pre-print
Over the years, a good number tools and techniques have been introduced to detect plagiarism.  ...  To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection.  ...  This method is a new approach towards detecting plagiarism and scientific documents that have been read but not cited.  ... 
arXiv:1801.06323v1 fatcat:iljwroot6fdfdhrlcxj45kpp6i

Plagiarism in the Context of Education and Evolving Detection Strategies

Armen Yuri Gasparyan, Bekaidar Nurmashev, Bakhytzhan Seksenbayev, Vladimir I. Trukhachev, Elena I. Kostyukova, George D. Kitas
2017 Journal of Korean medical science  
The evolving preventive strategies are increasingly relying on intelligent (semantic) digital technologies, comprehensively evaluating texts, keywords, graphics, and reference lists.  ...  But such a tool alone proves inefficient for preventing complex forms of plagiarism.  ...  Intelligent (semantic) technologies may help detect more cases of plagiarism worldwide and across academic disciplines with inevitable retractions and dire consequences for plagiarists (78) (79) (80)  ... 
doi:10.3346/jkms.2017.32.8.1220 pmid:28665055 pmcid:PMC5494318 fatcat:2vtuscfc5fa4rnf7gbbwvg6bdy

A deep learning based technique for plagiarism detection: a comparative study

Hambi El Mostafa, Faouzia Benabbou
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
Indeed, a few strategies have been proposed to perform semantic plagiarism detection, but they are still numerous challenges to overcome.  ...  Each technique has strengths and weaknesses; however, none is quite mature for semantic plagiarism detection.</p></td></tr></tbody></table>  ...  This helped us to get a general idea about the different methods of deep learning used for plagiarism detection or especially semantic plagiarism detection.  ... 
doi:10.11591/ijai.v9.i1.pp81-90 fatcat:4nu4vjdy6vfd3a3exokgejqbyq
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