Plagiarism Detection 2017


  • Automated plagiarism detection
  • Automatic plagiarism detection
  • Plagiarism checker
  • Plagiarism checkers
  • Plagiarism detection system
  • Plagiarism detection systems
  • Plagiarism detection tool
  • Plagiarism detection tools
  • Plagiarism detector
  • Plagiarism detectors


  • .. monitors your rss feed to find where content has been republished
  • .. premium plagiarism checker to check if content is original
  • .. online anti plagiarism detection tool (1000 word limit)
  • .. plagiarism checker software to verify the originality of written work
  • .. copyscape and turnitin alternative
  • .. fast way to analyze your papers
  • .. easy-to-use means to check text against possible plagiarism
  • .. first-rate plagiarism checking software
  • .. online duplicate content checker
  • .. check your paper online and detect plagiarism
  • .. tools that improve writing and prevent plagiarism
  • .. plagiarism detection software with similarity detection capabilities



See also:

AES (Automated Essay Scoring)LMS (Learning Management System) & Dialog SystemsSemantic Textual Similarity 2017

An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE
RMA Nawab, M Stevenson… – IEEE/ACM transactions on …, 2017 –
The identification of duplicated and plagiarized passages of text has become an increasingly active area of research. In this paper, we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, particularly

Plagiarism in the context of education and evolving detection strategies
AY Gasparyan, B Nurmashev… – Journal of Korean …, 2017 –
Abstract Plagiarism may take place in any scientific journals despite currently employed anti-plagiarism tools. The absence of widely acceptable definitions of research misconduct and reliance solely on similarity checks do not allow journal editors to prevent most complex

UsingWord Embedding for Cross-Language Plagiarism Detection
J Ferrero, F Agnes, L Besacier, D Schwab – arXiv preprint arXiv …, 2017 –
Abstract: This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection. The main contributions of this paper are the following:(a) we introduce new cross-language similarity detection methods based on

Semantics-based obfuscation-resilient binary code similarity comparison with applications to software and algorithm plagiarism detection
L Luo, J Ming, D Wu, P Liu, S Zhu – IEEE Transactions on …, 2017 –
Existing code similarity comparison methods, whether source or binary code based, are mostly not resilient to obfuscations. Identifying similar or identical code fragments among programs is very important in some applications. For example, one application is to detect

CompiLIG at SemEval-2017 Task 1: Cross-language plagiarism detection methods for semantic textual similarity
J Ferrero, F Agnes, L Besacier, D Schwab – arXiv preprint arXiv …, 2017 –
Abstract: We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score between 0 and 5. In our submission, we use syntax-based,

A Method For Arabic Documents Plagiarism Detection
YA Abdelrahman, A Khalid… – International Journal of …, 2017 –
Abstract Plagiarism has become an infamous problem in the global academic community. Detecting plagiarism in Arabic documents is particularly a challenging task due to the complexity of the structure of the language. This paper introduces a framework and methods

English-Persian Plagiarism Detection based on a Semantic Approach
F Safi-Esfahani, S Rakian… – Journal of AI and Data …, 2017 –
Abstract 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,

Deep Investigation of Cross-Language Plagiarism Detection Methods
J Ferrero, L Besacier, D Schwab, F Agnes – arXiv preprint arXiv …, 2017 –
Abstract: This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres, languages and sizes

Reviving sequential program birthmarking for multithreaded software plagiarism detection
Z Tian, T Liu, Q ZHENG, E Zhuang… – IEEE Transactions on …, 2017 –
As multithreaded programs become increasingly popular, plagiarism of multithreaded programs starts to plague the software industry. Although there has been tremendous progress on software plagiarism detection technology, existing dynamic birthmark

Detection of idea plagiarism using syntax–semantic concept extractions with genetic algorithm
K Vani, D Gupta – Expert Systems with Applications, 2017 – Elsevier
Abstract Plagiarism is increasingly becoming a major issue in the academic and educational domains. Automated and effective plagiarism detection systems are direly required to curtail this information breach, especially in tackling idea plagiarism. The proposed approach is

The detection of plagiarism
SY Kim – Korean journal of family medicine, 2017 –
Recently, during the review process of submitted manuscripts, one of our journal reviewers informed me about a case of suspected plagiarism. I thanked the reviewer and checked the degree of copying and found blatant plagiarism. There was unattributed use of large

Plagiarism Detection by Online Solutions
I Masic, E Begic, A Dobraca – Stud Health Technol Inform, 2017 –
Abstract. The problem of plagiarism represents one of the burning issues of the modern scientific world. Detection of plagiarism is a problem that the Editorial Board encounters in their daily work. Software solutions represent a good solution for the detection of plagiarism.

Style Analysis for Source Code Plagiarism Detection—An Analysis of a Dataset of Student Coursework
OM Mirza, M Joy, G Cosma – Advanced Learning Technologies …, 2017 –
Plagiarism has become an increasing problem in higher education in recent years. Coding style can be used to detect source code plagiarism that involves writing and deciding the structure of the code which does not affect the logic of a program, thus offering a way to

Plagiarism Detection in Texts Obfuscated with Homoglyphs
F Alvi, M Stevenson, P Clough – European Conference on Information …, 2017 – Springer
Abstract Homoglyphs can be used for disguising plagiarized text by replacing letters in source texts with visually identical letters from other scripts. Most current plagiarism detection systems are not able to detect plagiarism when text has been obfuscated using

Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review
R Ibrahim, S Saeed, K Wakil – Kurdistan Journal of Applied Research, 2017 –
Abstract Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages,

Plagiarism detection of C program using assembly language
S Chauhan, A Arora, Y Singhal – International Journal of …, 2017 –
Abstract Source code plagiarism is becoming a common practice among higher education community. People duplicate and modify the source code of other people and show the program as their own program. In this paper, we want to draw researchers’ attention towards

Fast plagiarism detection based on simple document similarity
K Baba – Digital Information Management (ICDIM), 2017 Twelfth …, 2017 –
Plagiarism detection in a large number of documents requires efficient methods. This paper proposes a plagiarism detection algorithm based on approximate string matching to be specified in “copy and paste”-type plagiarisms, and a speed improvement to an

Unsupervised learning based approach for plagiarism detection in programming assignments
J Yasaswi, S Kailash, A Chilupuri, S Purini… – Proceedings of the 10th …, 2017 –
Abstract In this work, we propose a novel hybrid approach for automatic plagiarism detection in programming assignments. Most of the well known plagiarism detectors either employ a text-based approach or use features based on the property of the program at a syntactic

Fuzzy vectorial-based similarity detection of music plagiarism
R De Prisco, D Malandrino… – … Systems (FUZZ-IEEE …, 2017 –
Plagiarism, ie, copying the work of others and trying to pass it off as one own, is a debated topic in different fields. In particular, in music field, the plagiarism is a controversial and debated phenomenon that has to do with the huge amount of money that music is able to

Social network aided plagiarism detection
A Zrnec, D Lavbi? – British Journal of Educational Technology, 2017 – Wiley Online Library
Abstract The prevalence of different kinds of electronic devices and the volume of content on the Web have increased the amount of plagiarism, which is considered an unethical act. If we want to be efficient in the detection and prevention of these acts, we have to improve

Docode 5: Building a real-world plagiarism detection system
JD Velásquez – Engineering Applications of Artificial Intelligence, 2017 – Elsevier
Abstract Plagiarism refers to the appropriation of someone else’s ideas and expression. Its ubiquity makes it necessary to counter it, and invites the development of commercial systems to do so. In this document we introduce Docode 5, a system for plagiarism detection

Flowchart Plagiarism Detection System: An Image Processing Approach
JS Kuruvila, R Roy, T Baby, S Jamal… – Procedia Computer …, 2017 – Elsevier
Abstract Plagiarism is any identical or lightly-altered use of one’s own or someone else’s work. Text plagiarism detection systems are widely available. Even though image plagiarism detection systems exists, flowchart based plagiarism detection systems are rarely

Fuzzy-Semantic Similarity for Automatic Multilingual Plagiarism Detection
H Ezzikouri, M Erritali… – INTERNATIONAL …, 2017 –
Abstract—A word may have multiple meanings or senses, it could be modeled by considering that words in a sentence have a fuzzy set that contains words with similar meaning, which make detecting plagiarism a hard task especially when dealing with

SVM significant role selection method for improving semantic text plagiarism detection
AH Osman, OMB Barukab – International Journal of Advanced …, 2017 –
Abstract: This research introduces an approach for the prediction and detection of plagiarized text based on Semantic Role Labelling (SRL) and Support Vector Machine (SVM). The introduced method evaluates and analyses text based on semantic position for

Methods for intrinsic plagiarism detection
KF Safin, MP Kuznetsov, MV Kuznetsova – Informatika i Ee Primeneniya …, 2017 –
Abstract: There are two ways to find plagiarism in documents:“external” and “intrinsic” plagiarism detection. External plagiarism detection is the task with a known set of possible references. Intrinsic plagiarism detection aims at discovering plagiarism by analyzing only

Figure plagiarism detection based on textual features representation
TAE Eisa, N Salim, S Alzahrani – Student Project Conference …, 2017 –
In an academic environment, plagiarism is the process of copying someone else’s text, idea or data verbatim or without due recognition of the source, which is a serious academic offence. Many techniques have been proposed in the literature for detecting plagiarism in

Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review
R Bakhtyar, K Wakil, S Saeed –
Abstract: Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages,

Plagiarism detection using supervised machine learning algorithm
S Amidwar – Journal of Emerging Technologies and Innovative …, 2017 –
Abstract Due to large amount of work on various topics of notable authors available online, the work of well-known authors is copied as it is which leads to the spread of plagiarism. Plagiarism has become a worrying problem to various authors. In this project, we attempt to

A Music Search Engine for Plagiarism Detection
Y TAO, J WANG – 2017 –
In this project, We want to build a music search engine which could efficiently detect different types of music plagiarism. The system takes musical notation as input and retrieves most similar excerpts from songs in the database as output. Moreover, we all have the experience

Intrinsic Detection of Plagiarism based on Writing Style Grouping
M Elamine, SE Mechti, LH Belguith –
Abstract. In this paper, we tackle the task of intrinsic plagiarism detection, also referred to as author diarization. This task deals with identifying segments within a document written by multiple authors [2]. The main goal is to discover deviations in the writing style, looking for

Data warehouse designing for Vietnamese textual document-based plagiarism detection system
PH Ho, TH Vo, NAT Nguyen – System Science and …, 2017 –
In this paper, the significance role of data warehouse designing for textual anti-plagiarism system is investigated. The paper covers the central issues of data warehousing modeling including:(1) formulating the data representation,(2) establishing the foundations of storage

Plagiarism Detection Using FP-Growth Algorithm
V Nandu, S Nair – 2017 –
Plagiarism is the” wrongful appropriation” and” stealing and publication” of another author’s” language, thoughts, ideas, or expressions” and the representation of them as one’s own original work. Plagiarism is considered academic dishonesty and a breach of journalistic

Vector Representation of Words for Plagiarism Detection Based on String Matching
K Baba, T Nakatoh, T Minami – … Conference on Human Interface and the …, 2017 – Springer
Abstract Plagiarism detection in documents requires appropriate definition of document similarity and efficient computation of the similarity. This paper evaluates the validity of using vector representation of words for defining a document similarity in terms of the processing

Source code plagiarism detection: The Unix way
J Petrík, D Chudá, B Steinmüller – Applied Machine Intelligence …, 2017 –
The paper describes similarity detection method for language independent source code similarity detection. It is based on idea of maximum reusability of standard Unix filters. This method was implemented and benchmarked with different datasets from real world

Suitability of BlackBox dataset for style analysis in detection of source code plagiarism
OM Mirza, M Joy, G Cosma – … Computing Technology (INTECH …, 2017 –
Plagiarism is one of the most common problem that has been increasing in the field of higher education. Many research papers have highlighted the issue of plagiarism in context to its detection and source that is often obtained from the text books and online sources,

Plagiarism Detection Process using Data Mining Techniques
M Abid, M Usman, MW Ashraf – International Journal of Recent …, 2017 –
Abstract As the technology is growing very fast and usage of computer systems is increased as compared to the old times, plagiarism is the phenomenon which is increasing day by day. Wrongful appropriation of someone else’s work is known as plagiarism. Manually detection

Integrating new technologies into EAP practice: The case of” plagiarism detection” software
D Pecorari – … Conference on ESP, new technologies and …, 2017 –
Abstract Plagiarism is widely understood as a disruptive phenomenon, a problem to be combatted, detected and punished. In this sense it is a distraction from the teaching and assessment activities which are central to the mission of the EAP/ESP classroom.”

A Ranking Approach to Source Retrieval of Plagiarism Detection
L Kong, Z Lu, Z Han, H Qi – IEICE TRANSACTIONS on Information …, 2017 –
?? This paper addresses the issue of source retrieval in plagiarism detection. The task of source retrieval is retrieving all plagiarized sources of a suspicious document from a source document corpus whilst minimizing retrieval costs. The classification-based methods

Plagiarism Detection of C Program using Assembly
S Chauhan, A Arora, Y Singhal –
ABSTRACT Source code plagiarism is becoming a common practice among higher education community. People duplicate and modify the source code of other people and show the program as their own program. In this paper, we want to draw researchers’

A Plagiarism Detection Algorithm based on Extended Winnowing
X Duan, M Wang, J Mu – MATEC Web of Conferences, 2017 –
Plagiarism is a common problem faced by academia and education. 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

Plagiarism Detection in Homework Based on Image Hashing
Y Chen, L Gan, S Zhang, W Guo, Y Chuang… – … Conference of Pioneering …, 2017 – Springer
Abstract The problem of high similarity in homework has troubled teachers with time. Previous plagiarism detection systems are mainly realized by string matching which has a limitation, ie, image homework cannot be detected. To this issue, we propose a new method

Relevancy of free online software and websites in detection of plagiarism
H Mondal, S Mondal – International Journal of Clinical and Experimental …, 2017 –
Abstract Background and Aim: Plagiarism is disgraceful to authors and opposed in the scientific community. Before submitting articles to journals, authors should check whether the article is unintentionally plagiarized or not. However, online premium plagiarism

Plagiarism Detection in SQL Student Assignments
N Scerbakov, A Schukin, O Sabinin – International Conference on …, 2017 – Springer
Abstract An original method for plagiarism detection in SQL student assignments has been proposed. The method is based on identifying so-called “SQL lexemes”-persistent elements of an SQL statement, and “SQL variables”-easily modifiable elements of SQL statements.

Modern programming assignment verification, testing and plagiarism detection approaches
A Grocevs, N Prokofjeva – 2017 –
Aleksejs Grocevs Department of Software Engineering Riga Technical University Riga, Latvia e-mail: … Nat?lija Prokofjeva Department of Software Engineering Riga Technical University Riga, Latvia e-mail: … Abstract—This paper provides

Plagiarism detection on bigdata using modified map-reduced based SCAM algorithm
J Dwivedi, A Tiwary – Innovative Mechanisms for Industry …, 2017 –
Plagiarism is one of the biggest problems of scientific research and engineering. Plagiarism is understood as presenting, intentionally or otherwise, someone else’s words, thoughts, analyses, argumentation, pictures, techniques, computer programmers etc. Plagiarism has a

A Plagiarism Detection Method Based on Learning Behavior Analysis
W TANG, ZOU Du, L ZHANG – DEStech Transactions on Social …, 2017 –
Abstract Plagiarist detection is a complicate topic in plagiarism detection area. Most existing algorithms can only compare similarity between assignments, but cannot detect plagiarist. This paper designed a homework assessment model based on the South China University

Plagiarism Detection in Malayalam Language Text using a Composition of Similarity measures
L Sindhu, SM Idicula – Proceedings of the 9th International Conference …, 2017 –
Abstract Plagiarism refers to the actof using someone else’s work without permission or without due acknowledgement. It has become a main concern in educational and research organisations. Though plagiarism existed from the very old times, the fast technological

CSPlag: A Source Code Plagiarism Detection Using Syntax Trees and Intermediate Language
D Puflovi?, MF Gligorijevi?, L Stoimenov –
Abstract–Different techniques can be used to detect plagiarism in the source code. However, they do not always give good results, especially when the code is deliberately altered to disguise the copied parts from different sources. This paper describes an approach that uses

Thesis Plagiarism Detection System By Using Rabin-Karp Algorithm
S Ramadhani, EP Cynthia – 2017 –
Abstract Plagiarism has been one of the subject penalties in final assignment then the form punishment in a reprimand to cancellation of certificates for those who have passed. Efforts should be made to prevent plagiarism to detect the occurrence of plagiarism by using string

Multi-Agents Machine Learning (MML) System for Plagiarism Detection
HA Bouarara – Handbook of Research on Biomimicry in …, 2017 –
ABSTRACT Day after day the cases of plagiarism increase and become a crucial problem in the modern world caused by the quantity of textual information available in the web. As data mining becomes the foundation for many different domains, one of its chores is a text

Plagiarism detection of flowchart images in the texts
B Hadi, MJ Kargar – Web Research (ICWR), 2017 3th …, 2017 –
Today, much more than in the past are discussed of plagiarism in the research. Conditions of the Web and Possibility of complex and smart searches in a short time, is rated to this, and as a result has arrived significant damages to the research. Tools designed to deal with

Detecting Sockpuppets in Social Media with Plagiarism Detection Algorithms
F Albrektsson – 2017 –
Abstract As new forms of propaganda and information control spread across the internet, the need for novel ways of identifying them increases as well. One increasingly popular method of spreading false messages on microblogs like Twitter is to disseminate them from

Fast Plagiarism Detection in Large-Scale Data
R Szmit – International Conference: Beyond Databases …, 2017 – Springer
Abstract This paper presents some research results involved in building Polish semantic Internet search engine called the Natively Enhanced Knowledge Sharing Technologies (NEKST) and its plagiarism detection module. The main goal is to describe tools and

Survey of Plagiarism Detection Approaches and Big data Techniques related to Plagiarism Candidate Retrieval
O Hourrane, EH Benlahmar – … of the 2nd international Conference on Big …, 2017 –
Abstract The easy and fast access to the web and the massive existence of databases of information systems today have led to an agile increase in the phenomenon of plagiarism as a serious problem for publishers and researchers. Fact, a number of researchers have

Cross-Language Plagiarism Detection System Using Latent Semantic Analysis and Learning Vector Quantization
AAP Ratna, PD Purnamasari, BA Adhi, FA Ekadiyanto… – Algorithms, 2017 –
Computerized cross-language plagiarism detection has recently become essential. With the scarcity of scientific publications in Bahasa Indonesia, many Indonesian authors frequently consult publications in English in order to boost the quantity of scientific publications in

Intelligent Plagiarism Detection for Electronic Documents
MHJ Al-Bayed – 2017 –
Abstract Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant

Plagiarism detection using document similarity based on distributed representation
K Baba, T Nakatoh, T Minami – Procedia Computer Science, 2017 – Elsevier
Abstract Accurate methods are required for plagiarism detection from documents. Generally, plagiarism detection is implemented on the basis of similarity between documents. This paper evaluates the validity of using distributed representation of words for defining a

Categorizing students, categorizing texts: will plagiarism detection leave blood on the tracks?
LE Nilsson, A Eklöf, T Kullenberg – Earli 2017 Biennal conference, 2017 –
Within research on examination cheating, a common assumption is that plagiarism in the context of examination is increasing epidemically. A uniform definition of plagiarism does not exist, but plagiarism is the category most frequently used when students at Swedish

Comparison of string matching based algorithms for plagiarism detection of source code
T Delev, D Gjorgjevikj – 2017 –
In this paper we present the implementation and comparison of several string matching based algorithms for the purpose of comparing source code ?les written in the C programming language for similarity or potential plagiarism. We describe the complete

A Fast Algorithm for Plagiarism Detection in Large-scale Data.
K Baba – Journal of Digital Information Management, 2017 –
ABSTRACT: This paper proposes a fast plagiarism detection algorithm in large-scale data. Plagiarisms of superficial descriptions, such as “copy and paste”, can be detected using a simple document similarity based on string matching. The algorithm reduces the effort for

Turning it in: Experiences, Challenges and Recommendations for the Appropriate Use of Plagiarism Detection Software
LF Razon, RR Tan, MAB Promentilla, KB Aviso… – 2017 –
Abstract: Abstract: The global availability of vast amounts of information via the World Wide Web has led to significant progress in academic research. However, the copying of original material is now much easier and the tracking of the original source material of plagiarized

Plagiarism Detection System for the Kurdish
K Wakil, M Ghafoor, M Abdulrahman, S Tariq – 2017 –
Abstract—One of the serious issues is plagiarism, especially in the education field. Detecting the plagiarism became a challenging task, particularly in natural language texts. In the past years, some plagiarism detection tools have been developed for diverse natural languages,

Graduate research in plagiarism in Brazil: Overview and comments on prevention and detection
RMVR Almeida, AJ Fontes-Pereira – Políticas de integridade científica … –
Plagiarism,“… the appropriation of another person’s ideas, processes, results, or words without giving appropriate credit”[OSTP 2000] is a serious research misconduct. Despite this seriousness, its occurrence is well known to be widespread [Bohannon 2014]. Well-

Plagiarism detection in learning management system
AKS Sabonchi, AK Görür – Information Technology (ICIT), 2017 …, 2017 –
Learning Management Systems has become one of the teaching tool same as the pen, pencil, blackboard, book, and notebook. Learning Management System (LMS) is defined and types that are derived from this system such as those focused only on the curriculum

Plagiarism detection system for Armenian language
G Tomeyan, MJ Pereira… – … Conference on Computer …, 2017 –
In the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze

VI Shynkarenko, ?S Kuropiatnyk – Science and Transport Progress …, 2017 –
Purpose. This study is aimed at: 1) the definition of plagiarism in texts on formal and natural languages, building a taxonomy of plagiarism; 2) identify major problems of plagiarism detection when using automated tools to solve them; 3) Analysis and systematization of

A linguistic treatment for automatic external plagiarism detection
A Abdi, SM Shamsuddin, N Idris, RM Alguliyev… – Knowledge-Based …, 2017 – Elsevier
Abstract Plagiarism is the unauthorized use of the ideas, presentation of someone else’s words or work as your own. This paper presents an External Plagiarism Detection System (EPDS), which employs a combination of the Semantic Role Labeling (SRL) technique, the

Figure Plagiarism Detection Using Content-Based Features
T Eisa, N Salim, S Alzahrani – Recent Developments in Intelligent …, 2017 – Springer
Abstract Plagiarism is the process of copying someone else’s text or figure verbatim or without due recognition of the source. A lot of techniques have been proposed for detecting plagiarism in texts, but a few techniques exist for detecting figure plagiarism. This paper

Text Documents Plagiarism Detection using Rabin-Karp and Jaro-Winkler Distance Algorithms
B Leonardo, S Hansun – Indonesian Journal of Electrical Engineering …, 2017 –
Abstract Plagiarism is an act that is considered by the university as a fraud by taking someone ideas or writings without mentioning the references and claimed as his own. Plagiarism detection system is generally implement string matching algorithm in a text

Plagiarism: Detection And Prevention Methods
M Badiger, KG Badiger –
Abstract: Plagiarism becomes a big issue and challenge in academic space especially in India and other countries. Plagiarism is not restricted to scientific disciplines alone; Knowledge encroachment and literary theft are some of the lingering issues in research

Plagiarism Detection in MEDLINE Using Multiple Query Expansion and Approximate Phrase Match Techniques
VS Mhaskar – IJETT, 2017 –
Abstract Plagiarism is using others work and using them off as one’s own without appropriately acknowledging the source. Identifying duplicated and plagiarized passages of text is becoming popular area of research. Plagiarism is an important issue in every

Plagiarism Detection Framework: A Technique for Detecting Source Code Plagiarism
A Nagaich, A Bhargava, P Badal –
Abstract—Academic dishonesty is a universal problem. The educational community across the world is facing the increasing problem of plagiarism. This widespread problem has motivated the need of an efficient, robust and fast detection procedure that is difficult to be

COAT: Code ObfuscAtion Tool to evaluate the performance of code plagiarism detection tools
S Ko, J Choi, H Kim –
Abstract—There exist many plagiarism detection tools to uncover plagiarized codes by analyzing the similarity of source codes. To measure how reliable those plagiarism detection tools are, we developed a tool named Code ObfuscAtion Tool (COAT) that takes a program

An Analysis of the Impact of Introducing the Plagiarism Detection System in an Institute of Higher Education
R Kumar, RC Tripathi – Journal of Information & Knowledge …, 2017 – World Scientific
In the current technical scenario of the world, the importance of Intellectual Properties is growing at a fast pace in the business, education and the publishing industry particularly for those who have utilised the power of the internet to access any data, anytime, anywhere.

Plagiarism Detection Based on Citing Sentences
S Soleman, A Fujii – International Conference on Theory and Practice of …, 2017 – Springer
Abstract Plagiarism, which is one of the forms of academic misconducts, is problematic. It results in discouraging innovation, and losing trust in the academic community. We modeled the plagiarism for academic publications, by means of the similarity between textual

GA-ANFIS Approach to Language Independent Source Code Plagiarism Detection
A Nagaich, A Bhargava, P Badal –
Abstract-Plagiarism detection in source code of different programming language is area of concerns for identification similar or identical fragments of source code in source-code files. Mainly, the system computes and displays the similarity value between each pair of

Agents Oriented Genetic-K-Means (AOGK) System for Plagiarism Detection
HA Bouarara, Y Bouarara – International Journal of Operations …, 2017 –
Abstract In the last decade, the plagiarism phenomenon has widely spread and become a topical problem in the modern scientific world, caused by the wide availability of electronic documents online and offline. This work will be devoted to describe a new plagiarism

Comparative Analysis of Plagiarism Detection Systems
YM Shkodkina, D Pakauskas – 2017 –
This article compares plagiarism detection systems according to the list of criteria, compiled from the most challenging and important features for users in Ukrainian higher educational institutions. In addition it describes types of text-based plagiarism and provides an overview

WASTK: A Weighted Abstract Syntax Tree Kernel Method for Source Code Plagiarism Detection
D Fu, Y Xu, H Yu, B Yang – Scientific Programming, 2017 –
In this paper, we introduce a source code plagiarism detection method, named WASTK (Weighted Abstract Syntax Tree Kernel), for computer science education. Different from other plagiarism detection methods, WASTK takes some aspects other than the similarity between

A Survey on Plagiarism Detection Techniques for Indian Regional Languages
H Lamba, S Govilkar – International Journal of Computer …, 2017 –
Abstract Plagiarism is an illicit act of using other’s work wholly or partially as one’s own in any field such as art, poetry literature, cinema, research and other creative forms of study. It has become a serious crime in academia and research fields and access to wide range of

Source Code Plagiarism Detection using Machine Learning
D Heres – 2017 –
In this thesis we study how we can apply machine learning techniques to improve source code plagiarism detection. We present a system, InfiniteMonkey, that can identify suspicious similarities between source code documents using two methods. For fast retrieval of source

Plagiarism Detection in Programming Assignments Using Deep Features
J Yasaswi, S Purini, CV Jawahar –
Abstract—This paper proposes a method for detecting plagiarism in source-codes using deep features. The embeddings for programs are obtained using a character-level Recurrent Neural Network (char-RNN), which is pre-trained on Linux Kernel source-code.

Current trends in source code analysis, plagiarism detection and issues of analysis big datasets
M ?ura?ík, E Kršák, P Hrkút – Procedia engineering, 2017 – Elsevier
Abstract In this work, we analyze the state of the art in source code analysis area with a focus on plagiarism detection and provide a proposal for a future work in this area. Detection of plagiarism combines the detection of clones and methods for determining similarity.

A Quantitative Comparison of Program Plagiarism Detection Tools
D Heres, J Hage – Proceedings of the 6th Computer Science Education …, 2017 –
Abstract In this work we compare a total of 9 different tools for the detection of source code plagiarism. We evaluated the plagiarism or copy detection tools CPD, JPlag, Sherlock, Marble, Moss, Plaggie and SIM and two baselines, one based on the Unix tool diff and one

Binary aggregation functions in software plagiarism detection
M Bartoszuk, M Gagolewski – Fuzzy Systems (FUZZ-IEEE) …, 2017 –
Supervised learning is of key interest in data science. Even though there exist many approaches to solving, among others, classification as well as ordinal and standard regression tasks, most of them output models that do not possess useful formal properties,

MS Sie, CC Chiang, HC Yang, YL Liu –
ABSTRACT This paper presents an Automatic Music Melody Plagiarism Detection (AMMPD) method to detect and locate the possible plagiarism in music melodies. This proposed method addresses the challenging issues encountered in the AMMPD problem, including

Plagiarism Detection in Text Collections
P Kalampokis – 2017 –
Abstract This is a dissertation thesis submitted for the degree of MSc in Mobile and Web Computing at the International Hellenic University. The main purpose of this dissertation was to find an efficient way to compare a big corpus of document texts among them and check

Parameter Adjustment in Gaining Accuracy of Plagiarism Detection
APU Siahaan, R Rahim, D Siregar – 2017 –
Abstract A parameter is a significant variable in determining the calculation result of a method. In Rabin-Karp, several parameters determine the accuracy of this algorithm. The role of the parameter acts as a determinant of the level of similarity of the document. The

Toward plagiarism detection using citation networks
S Soleman, A Fujii – Digital Information Management (ICDIM) …, 2017 –
Plagiarism makes people lose trust and discourages innovation in the research community. In this paper, we proposed a model for plagiarism using citation networks. More precisely, we used fragments of texts citing a document as surrogates for that document. Furthermore,

High Perfomance Plagiarism Detection Using Rabin’s fingerprint and Adaptive N-gram Methodologies
K Chege –
Abstract—Plagiarism poses a grave danger to the integrity of the higher education process. To address this threat, academic institutions invest in computerized tools that assist in verifying that academic works submitted by students and researchers are their original work.

Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning
A Polydouri, G Siolas, A Stafylopatis – International Conference on …, 2017 – Springer
Abstract In the context of intrinsic plagiarism detection, we are trying to discover plagiarised passages in a text, based on the stylistic changes and inconsistencies within the document itself. The main idea consists in profiling the style of the original author and marking as

An integrated approach for intrinsic plagiarism detection
M AlSallal, R Iqbal, V Palade, S Amin… – Future Generation …, 2017 – Elsevier
Abstract Employing effective plagiarism detection methods are seen to be essential in the next generation web. In this paper, we present a novel approach for plagiarism detection without reference collections. The proposed approach relies on using some statistical

Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System
A Sobecki, M Kepa – … Conference on Semantic Keyword-Based Search on …, 2017 – Springer
Abstract The plagiarism detection problem involves finding patterns in unstructured text documents. Similarity of documents in this approach means that the documents contain some identical phrases with defined minimal length. The typical methods used to find similar

Deep Learning Based Technique for Plagiarism Detection in Arabic Texts
D Suleiman, A Awajan, N Al-Madi – … International Conference on …, 2017 –
Abstract–Plagiarism detection is very important especially for academician, researchers and students. Although, there are many plagiarism detection tools, it is still challenging task because of huge amount of online documents. In this research, we propose to use word2vec

A unified approach to automate the usage of plagiarism detection tools in programming courses
AO Portillo-Dominguez, V Ayala-Rivera… – … (ICCSE), 2017 12th …, 2017 –
Plagiarism in programming assignments is an extremely common problem in universities. While there are many tools that automate the detection of plagiarism in source code, users still need to inspect the results and decide whether there is plagiarism or not. Moreover,

Enhancing the Detection of Plagiarism with Document Formatting Property Analyzer
R Ranatunga, AS Atukorale, KP Hewagamage –
Abstract At present, the problem of plagiarism is being increased by widespread use of online documents, the Internet and e-learning systems. It has been identified as one of the most crucial issues to be addressed to maintain the quality and effectiveness of the

Plagiarism: Software-based detection and the importance of (Human) hardware
DP Misra, V Ravindran… – Indian Journal of …, 2017 –
Misra DP, Ravindran V, Agarwal V. Plagiarism: Software-based detection and the importance of (Human) hardware. Indian J Rheumatol [serial online] 2017 [cited 2018 Jan 20]; 12: 188-9. Available from: http://www. indianjrheumatol. com/text. asp?

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