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Dissertations / Theses on the topic 'Plagiarism detector'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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1

Arenhardt, Catiane Priscila Barbosa. "MISS MARPLE DESENVOLVIMENTO DE FERRAMENTA PARA AUXILIAR NA VERIFICAÇÃO E DETECÇÃO DE INDÍCIOS DE PLÁGIO COM BASE NO MÉTODO DIP DETECTOR DE INDÍCIOS DE PLÁGIO." Universidade Federal de Santa Maria, 2013. http://repositorio.ufsm.br/handle/1/5418.

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The work aimed to identify the needs that still permeated the tools of analysis and detect plagiarism for further development of a new tool, called Miss Marple, which met the requirements identified in the course of research, besides continuing the work called DIP - Evidence of Plagiarism Detector. The research conducted in this work allowed the survey of the characteristics of each tool enabling trace a comparative study between them and the development of the new tool. The validation of the developed tool was performed in two modes of travel, and distance, and by evaluating the usability of
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Pereira, Rafael Corezola. "Cross-language plagiarism detection." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/27652.

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Plágio é um dos delitos mais graves no meio acadêmico. É definido como “o uso do trabalho de uma pessoa sem a devida referência ao trabalho original”. Em contrapartida a esse problema, existem diversos métodos que tentam detectar automaticamente plágio entre documentos. Nesse contexto, esse trabalho propõe um novo método para Análise de Plágio Multilíngue. O objetivo do método é detectar casos de plágio em documentos suspeitos baseado em uma coleção de documentos ditos originais. Para realizar essa tarefa, é proposto um método de detecção de plágio composto por cinco fases principais: normaliz
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Mengoli, Chiara. "Plagiarism." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20928/.

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This document aims to provide an overview of the current situation of plagiarism. This survey presents a taxonomy of various plagiarism forms and includes discussion on each of these forms. Moreover, it presents the existence of various tools and systems for detecting plagiarism. The easy access to the Web, its increasing use, and the development of technologies have led to the need to adapt plagiarism laws, implement new mechanisms anti-plagiarism or mechanisms of detection and empower people on the problem of plagiarism. Therefore, there will be a dedicated section for each of these aspects.
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Liaqat, Ahmad Gull, and Aijaz Ahmad. "Plagiarism Detection in Java Code." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13231.

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5

Lancaster, Thomas. "Effective and efficient plagiarism detection." Thesis, London South Bank University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618675.

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Chong, Man Yan Miranda. "A study on plagiarism detection and plagiarism direction identification using natural language processing techniques." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/298219.

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Ever since we entered the digital communication era, the ease of information sharing through the internet has encouraged online literature searching. With this comes the potential risk of a rise in academic misconduct and intellectual property theft. As concerns over plagiarism grow, more attention has been directed towards automatic plagiarism detection. This is a computational approach which assists humans in judging whether pieces of texts are plagiarised. However, most existing plagiarism detection approaches are limited to super cial, brute-force stringmatching techniques. If the text has
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7

Nilsson, Erik. "Abstract Syntax Tree Analysis for Plagiarism Detection." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-80888.

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Today, universities rely heavily on systems for detecting plagiarism in students’essays and reports. Code submissions however require specific tools. A numberof approaches to finding plagiarisms in code have already been tried, includingtechniques based on comparing textual transformations of code, token strings,parse trees and graph representations. In this master’s thesis, a new system, cojac,is presented which combines textual, tree and graph techniques to detect a broadspectrum of plagiarism attempts. The system finds plagiarisms in C, C++ and Adasource files. This thesis discusses the met
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8

Alsallal, M. "A machine learning approach for plagiarism detection." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/7e903a56-4845-4852-b1a8-2849b1cdb08a/1.

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Plagiarism detection is gaining increasing importance due to requirements for integrity in education. The existing research has investigated the problem of plagrarim detection with a varying degree of success. The literature revealed that there are two main methods for detecting plagiarism, namely extrinsic and intrinsic. This thesis has developed two novel approaches to address both of these methods. Firstly a novel extrinsic method for detecting plagiarism is proposed. The method is based on four well-known techniques namely Bag of Words (BOW), Latent Semantic Analysis (LSA), Stylometry and
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Perleka, Erisa. "Plagiarism Detection : An Overview of Text Alignment Techniques." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23404.

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The task of plagiarism detection is to look at a given document and establish whether it is an original or not. More specifically, it concerns the disclosure of which sentences or passages are plagiarised from which respective passages. The strategies of uncovering plagiarism rely on the kind of natural language representation chosen. Plagiarism detection asks for two major tasks. Retrieving a possible source document, and then performing the detailed analysis that would produce the exact detection result. This thesis is mainly concerned with the detailed analysis phase, more specifically with
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Nawab, Rao Muhammad Adeel. "Mono-lingual paraphrased text reuse and plagiarism detection." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2785/.

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11

Oetsch, Johannes, Martin Schwengerer, and Hans Tompits. "Kato: a plagiarism-detection tool for answer-set programs." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4148/.

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We present the tool Kato which is, to the best of our knowledge, the first tool for plagiarism detection that is directly tailored for answer-set programming (ASP). Kato aims at finding similarities between (segments of) logic programs to help detecting cases of plagiarism. Currently, the tool is realised for DLV programs but it is designed to handle various logic-programming syntax versions. We review basic features and the underlying methodology of the tool.
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Albrektsson, Fredrik. "Detecting Sockpuppets in Social Media with Plagiarism Detection Algorithms." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208553.

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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 seemingly ordinary, but centrally controlled and coordinated user accounts – sockpuppets. In this paper we examine a number of potential methods for identifying these by way of applying plagiarism detection algorithms for text, and evaluate their performance against this type of threat. We identify one type of algorithm in particular – that
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Bergman, Adam. "Automatic Detection of Source Code Plagiarism in Programming Courses." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104883.

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Source code plagiarism is an ongoing problem in programming courses at higher academic institutions. For this reason, different automated source code plagiarism detection tools have been developed. However, they require several manual steps before the submissions can be compared. Linnaeus University uses GitLab to handle their students’ code-related assignments but lacks an integrated workflow for checking submissions against plagiarism. Instead, Linnaeus University’s plagiarism-checking process is done manually, which is a challenging and time-consuming process. This thesis is a case study on
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Kimler, Marco. "Using Style Markers for Detecting Plagiarism in Natural Language Documents." Thesis, University of Skövde, Department of Computer Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-824.

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<p>Most of the existing plagiarism detection systems compare a text to a database of other texts. These external approaches, however, are vulnerable because texts not contained in the database cannot be detected as source texts. This paper examines an internal plagiarism detection method that uses style markers from authorship attribution studies in order to find stylistic changes in a text. These changes might pinpoint plagiarized passages. Additionally, a new style marker called specific words is introduced. A pre-study tests if the style markers can fingerprint an author s style and if they
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McCorkle, Sarah. "Exploring Faculty Responses to Student Plagiarism." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1585050654270478.

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Grigas, Deividas. "Programinių modulių kokybės vertinimo sistema." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2004. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2004~D_20040920_132724-54676.

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Modern educational institutions use static methods e.g. tests in computer-based knowledge assessment systems. Tests have pattern questions with limited number of answers. Use of such methods does not guarantee objective knowledge assessment – numbers of the right answers could be guessed or memorized in advance. Practical skills can be tested by assigning programming tasks. In order to complete practical tasks students need good knowledge in the fields examined. This leads to better assessment of student knowledge in theory and practice. Teachers get better feedback. However practical tasks ne
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Anbalagan, Sindhuja. "On Occurrence Of Plagiarism In Published Computer Science Thesis Reports At Swedish Universities." Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5377.

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In recent years, it has been observed that software clones and plagiarism are becoming an increased threat for one?s creativity. Clones are the results of copying and using other?s work. According to the Merriam – Webster dictionary, “A clone is one that appears to be a copy of an original form”. It is synonym to duplicate. Clones lead to redundancy of codes, but not all redundant code is a clone.On basis of this background knowledge ,in order to safeguard one?s idea and to avoid intentional code duplication for pretending other?s work as if their owns, software clone detection should be empha
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Holma, Niklas. "Program Dependence Graph Generation and Analysis for Source Code Plagiarism Detection." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87446.

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Systems and tools that finds similarities among essays and reports are widely used by todays universities and schools to detect plagiarism. Such tools are however insufficient when used for source code comparisons since they are fragile to the most simplest forms of diguises. Other methods that analyses intermediate forms such as token strings, syntax trees and graph representations have shown to be more effective than using simple textual matching methods. In this master thesis report we discuss how program dependence graphs, an abstract representation of a programs semantics, can be used to
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Krisnawati, Lucia Dwi [Verfasser], and Klaus [Akademischer Betreuer] Schulz. "Plagiarism detection for Indonesian texts / Lucia Dwi Krisnawati ; Betreuer: Klaus Schulz." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2016. http://d-nb.info/111406808X/34.

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Krisnawati, Lucia D. [Verfasser], and Klaus [Akademischer Betreuer] Schulz. "Plagiarism detection for Indonesian texts / Lucia Dwi Krisnawati ; Betreuer: Klaus Schulz." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2016. http://d-nb.info/111406808X/34.

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21

Meuschke, Norman [Verfasser]. "Analyzing Non-Textual Content Elements to Detect Academic Plagiarism / Norman Meuschke." Konstanz : KOPS Universität Konstanz, 2021. http://d-nb.info/123532706X/34.

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22

Cosma, Georgina. "An approach to source-code plagiarism detection investigation using latent semantic analysis." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/3575/.

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This thesis looks at three aspects of source-code plagiarism. The first aspect of the thesis is concerned with creating a definition of source-code plagiarism; the second aspect is concerned with describing the findings gathered from investigating the Latent Semantic Analysis information retrieval algorithm for source-code similarity detection; and the final aspect of the thesis is concerned with the proposal and evaluation of a new algorithm that combines Latent Semantic Analysis with plagiarism detection tools. A recent review of the literature revealed that there is no commonly agreed defin
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Gipp, Béla [Verfasser], and Andreas [Akademischer Betreuer] Nürnberger. "Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications / Béla Gipp. Betreuer: Andreas Nürnberger." Magdeburg : Universitätsbibliothek, 2013. http://d-nb.info/105463890X/34.

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Gipp, Béla Verfasser], and Andreas [Akademischer Betreuer] [Nürnberger. "Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications / Béla Gipp. Betreuer: Andreas Nürnberger." Magdeburg : Universitätsbibliothek, 2013. http://nbn-resolving.de/urn:nbn:de:gbv:ma9:1-4798.

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25

Barrón, Cedeño Luis Alberto. "On the Mono- and Cross-Language Detection of Text Re-Use and Plagiarism." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/16012.

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Barrón Cedeño, LA. (2012). On the Mono- and Cross-Language Detection of Text Re-Use and Plagiarism [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/16012<br>Palancia
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Nečadová, Anežka. "Detekce plagiátů programových kódů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221352.

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This semestral thesis presents definition of plagiarism and focuses primarily on solving this problem in academic world. The main topic is the detection of plagiarism. It is discussed the various steps of the detection process and special attention is given to plagiarism detection of program codes. The work mentions question of the reliability of detection tools and divides the plagiarism detection methods into basic groups. One chapter is devoted metrics for comparing files. Mentioned are two tools available to detect plagiarism. In the last chapter is analyzed own draft program for plagiaris
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Mayes, Robin James. "A Content Originality Analysis of HRD Focused Dissertations and Published Academic Articles using TurnItIn Plagiarism Detection Software." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984233/.

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This empirical exploratory study quantitatively analyzed content similarity indices (potential plagiarism) from a corpus consisting of 360 dissertations and 360 published articles. The population was defined using the filtering search criteria human resource development, training and development, organizational development, career development, or HRD. This study described in detail the process of collecting content similarity analysis (CSA) metadata using Turnitin software (www.turnitin.com). This researcher conducted robust descriptive statistics, a Wilcoxon signed-rank statistic between the
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Donelavičius, Mantas. "Plagiato patikros e. sistema mMoodle aplinkai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130729_140119-61483.

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Baigiamajame magistro darbe nagrinėjamos plagiatų aptikimas, vertinami skirtingi algoritmai, užsienio šalių patirtis šioje srityje. Išnagrinėti pagrindiniai būdai, kuriais remiantis nustatomi plagiatai. Darbo metu sukurta plagiatų patikros sistema ir įskiepis skirtas Moodle mokymosi aplinkai. Sistemoje naudojamo algoritmo efektyvumas matuojamas atsižvelgiant į duomenų saugojimo, bei gavimo būdus iš duomenų bazės, taip pat ir jo patikimumas. Baigiamajame darbe nagrinėjama kitų plagiatų patikros programų tikrinamų darbų skaičiaus įtaka jų darbo efektyvumui, bei lyginama su sukurtu produktu.<br>M
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Hattingh, F., AK Buitendag, and der Walt JS van. "Presenting an alternative source code plagiarism detection framework for improving the teaching and learning of programming." Journal of Information Technology Education: Innovations in Practice, 2003. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001990.

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Abstract The transfer and teaching of programming and programming related skills has become, increasingly difficult on an undergraduate level over the past years. This is partially due to the number of programming languages available as well as access to readily available source code over the Web. Source code plagiarism is common practice amongst many undergraduate students. This practice has a detrimental effect on the presentation of specific content relating to introduction to programming courses. One of the problems identified in the research conducted is that turnaround time with relation
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Tennyson, Matthew Francis. "Authorship Attribution of Source Code." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/322.

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Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is presented, while focusing on the two state-of-the-art methods: SCAP and Burrows. The primary goal was to develop a new method for authorship attribution of source code that is even more effective than the current state-of-the-art methods. Toward that end, a
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Lízal, Radek. "Detekce plagiátů textových dokumentů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-221154.

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This diploma thesis introduces the definition of plagiarism, distinguishes the types of plagiaries which often take place in praxis and the ways of determining the suspected texts. The means of detection are essential; therefore a whole chapter is dedicated to those. For the detection purposes, it is vital to pre-process the data to reduce the demand factor of the program. There is a preview of some programs which are already being used for the detection of plagiarism. The following chapter introduces some selected indications which have been implemented in the Matlab environment to create a d
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Šalplachta, Pavel. "Aplikace pro odhalování plagiátů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236723.

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This thesis is dealing with programming languages C and C++, various methods writing their constructions and development of application which detects very similar programs written in these languages. The application is intended to control plagiarism in school projects in which students have to create a program in C or C++. The application can check short programs as well as large programs divided into several modules.
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Anzén, Elizabeth. "The Viability of Machine Learning Models Based on Levenstein Distance and Cosine Similarity for Plagiarism Detection in Digital Exams." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240398.

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This paper investigates the viability of a machine learning model based on similarities in text structure compared to one based on statistical properties in the text to detect cheating in digital examinations. The machine learning model comparing similarity in text structure used Levenstein distance and the one comparing statistical text properties compared cosine distance between word vectors. The paper also investigates whether security has been a driving force impacting the industrial dynamics of the digitalization of examinations in Sweden. This is done using the multi-level perspective fr
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Přibil, Jiří. "Efektivní metody detekce plagiátů v rozsáhlých dokumentových skladech." Doctoral thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-19025.

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The work focuses on issues of plagiarism detection in large document repositories. Taking into account real situation that needs to be addressed now in the university environment in the Czech Republic and proposes a system that will be able to carry out this analysis in real time and yet be able to capture the widest possible range of plagiarism methods. The main contribution of this work is taking the definition of so-called unordered n-grams - {n}-grams - which can be used just to detect some forms of advanced plagiarism methods. All cited recommendations that relate to the various component
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Hedlund, Elin. "(Ur)kunden har alltid rätt : En studie om plagiat och användandet av plagiatkontrollsystem vid ett svenskt lärosäte." Thesis, Högskolan Väst, Avd för medier och design, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-14270.

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The purpose of this study was to better understand how the universities in Sweden work to prevent plagiarism, how they use plagiarism detection tools and what knowledge the students have or wish to have about plagiarism. This was studied through interviews with teachers and administration staff from one smaller university in Sweden together with a questionnaire for students attending any university in Sweden. The study shows that the information about plagiarism can be clearer from teachers according to the students, to prevent plagiarism as far as possible. It also shows that the university i
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Bančák, Michal. "Nástroj na vizualizaci plagiátů v různých programovacích jazycích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403102.

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The thesis describes the design and implementation of a plagiarism tool for programming languages C, Python and PHP. It describes techniques that are used to cover a plagiarism. The aim of this work is to create a tool for detection and visualization of plagiarisms covered up using these techniques. The tool performs detection by transforming input projects into an abstract syntactic tree, which is obtained by lexical and syntactic analysis. These trees will be compared by a proposed algorithm that uses node and subtree valuation using the {hash} function. The found parts of the code that coul
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Joeckel, George Louis. "An Evaluation of Compatibility, Effectiveness, Utility, and Implementation of Plagiarism-Detection Software Operating in the Honor Code Environment at Brigham Young University." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2193.pdf.

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Pertile, Solange de Lurdes. "Combinando métricas baseadas em conteúdo e em referências para a detecção de plágio em artigos científicos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/122510.

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A grande quantidade de artigos científicos disponíveis on-line faz com que seja mais fácil para estudantes e pesquisadores reutilizarem texto de outros autores, e torna mais difícil a verificação da originalidade de um determinado texto. Reutilizar texto sem creditar a fonte é considerado plágio. Uma série de estudos relatam a alta prevalência de plágio no meio acadêmico e científico. Como consequência, inúmeras instituições e pesquisadores têm se dedicado à elaboração de sistemas para automatizar o processo de verificação de plágio. A maioria dos trabalhos existentes baseia-se na análise da s
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Ãvila, Ricardo Lima Feitosa. "Emprego de tÃcnicas de prÃ-processamento textual e algoritmos de comparaÃÃo como suporte à correÃÃo de questÃes dissertativas: experimentos, anÃlises e contribuiÃÃes." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10572.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>Esta dissertaÃÃo apresenta um estudo de tÃcnicas que podem ser empregadas como apoio para a correÃÃo de questÃes dissertativas com base na adaptaÃÃo de algoritmos de comparaÃÃo textual combinados a tÃcnicas de prÃ-processamento de textos. O principal desafio na concepÃÃo de uma ferramenta para este tipo de aplicaÃÃo à a ambiguidade da linguagem natural. Para analisar situaÃÃes de correÃÃo de questÃes subjetivas, foram efetuados testes com esses algoritmos, tendo-se desenvolvido uma ferramenta para tal propÃsito. Confrontando respos
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Kašpar, Jakub. "Vyhodnocení podobnosti programových kódů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241092.

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Main goal of this work is to get acquainted with the plagiarism problem and propose the methods that will lead to detection of plagiarism in program codes. In the first part of this paper different types of plagiarism and some methods of detection are introduced. In the next part the preprocessing and attributes detection is described. Than the new method of detection and adaptive weights usage is proposed. Last part summarizes the results of the detector testing on the student projects database
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Luquini, Evandro. "Uma proposta para promover a aprendizagem nas disciplinas de programação utilizando-se de redes sociais modeladas por técnicas de detecção de plágio." Universidade Presbiteriana Mackenzie, 2010. http://tede.mackenzie.br/jspui/handle/tede/1387.

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Made available in DSpace on 2016-03-15T19:37:29Z (GMT). No. of bitstreams: 1 Evandro Luquini.pdf: 2663730 bytes, checksum: 45c13b956053ea1328342984d7ecf01c (MD5) Previous issue date: 2010-08-05<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The broad topic of this research is related to computer supported learning and teaching environment. In particular due to the high society´s demand for human resources capable of building and maintaining computer systems the specific topic of this research is focused on computer tools to support programming learning and teaching using t
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Maciel, Danilo Leal. "Sherlock N-Overlap: normalization invasive and overlap coefficient for analysis of similarity between source code in programming disciplines." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12195.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>This work is contextualized in the problem of plagiarism detection among source codes in programming classes. Despite the wide set of tools available for the detection of plagiarism, only few tools are able to effectively identify all lexical and semantic similarities between pairs of codes, because of the complexity inherent to this type of analysis. Therefore to the problem and the scenario in question, it was made a study about the main approaches discussed in the literature on detecting plagiarism in source code and as a main co
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Marshall, Laura Ann. "Uncharted Territory: Receptions of Philosophy in Apollonius Rhodius’ Argonautica." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu150330016014072.

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Ferrero, Jérémy. "Similarités textuelles sémantiques translingues : vers la détection automatique du plagiat par traduction." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM088/document.

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La mise à disposition massive de documents via Internet (pages Web, entrepôts de données,documents numériques, numérisés ou retranscrits, etc.) rend de plus en plus aisée la récupération d’idées. Malheureusement, ce phénomène s’accompagne d’une augmentation des cas de plagiat.En effet, s’approprier du contenu, peu importe sa forme, sans le consentement de son auteur (ou de ses ayants droit) et sans citer ses sources, dans le but de le présenter comme sa propre œuvre ou création est considéré comme plagiat. De plus, ces dernières années, l’expansion d’Internet a également facilité l’accès à des
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Franco, Salvador Marc. "A Cross-domain and Cross-language Knowledge-based Representation of Text and its Meaning." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/84285.

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Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human languages. One of its most challenging aspects involves enabling computers to derive meaning from human natural language. To do so, several meaning or context representations have been proposed with competitive performance. However, these representations still have room for improvement when working in a cross-domain or cross-language scenario. In this thesis we study the use of knowledge graphs as a cross-domain an
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Vila, Rigat Marta. "Paraphrase Scope and Typology. A Data-Driven Approach from Computational Linguistics / Abast i tipologia de la paràfrasi. Una aproximació empíriica des de la lingüíística computacional." Doctoral thesis, Universitat de Barcelona, 2013. http://hdl.handle.net/10803/117850.

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Paraphrasing is generally understood as approximate sameness of meaning between snippets of text with a different wording. Paraphrases are omnipresent in natural languages demonstrating all the aspects of its multifaceted nature. The pervasiveness of paraphrasing has made it a focus of several tasks in computational linguistics; its complexity has in turn resulted in paraphrase remaining a still unresolved challenge. Two basic issues, directly linked to the complex nature of paraphrasing, make its computational treatment particularly difficult, namely the absence of a precise and commonly acc
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Pertile, Solange de Lurdes. "DESENVOLVIMENTO E APLICAÇÃO DE UM MÉTODO PARA DETECÇÃO DE INDÍCIOS DE PLÁGIO." Universidade Federal de Santa Maria, 2011. http://repositorio.ufsm.br/handle/1/5376.

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The distribution and access to information by a much larger number of people on the Internet has grown in a exponential, way has been hard the which control of the originality of the information and facilitating the work of plagiarists users who make use of such information inappropriately. It is in this context that stands the importance of evalute the texts produced in the post-graduate and graduate courses in the classroom and distance modalities, that this paper proposes a new method to detect signs of plagiarism in academic work, which performs to searche similar fragments with web docume
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Wang, Wei-Chuan, and 王偉全. "Document Plagiarism Detection." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/66579354079937686260.

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碩士<br>元智大學<br>資訊管理學系<br>94<br>With the growing of Internet technology, E-publish has been becoming a popular way of broadcasting information, and people can easily access digital version of a document on the web. It is very convenient to retrieve information now, but this also makes it easy to duplicate or distribute the content of digital documents. In order to protect Intellectual Property Right of digital documents, the purpose of this study is to construct a system to detect plagiarism candidates by using Chinese tokenization and sequence alignment algorithm.
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Yang, Jung-Sheng, and 楊榮生. "Plagiarism Detection Using Knowledge-based Techniques." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/18899988613701247679.

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碩士<br>樹德科技大學<br>資訊管理研究所<br>91<br>Plagiarism is an important issue in copyright and authorization protection.With the growth of the Internet, it is much more easier for plagiarists to copy from the Internet various materials and put them in their own documents without the permission of the original authors. Manual detection may be the most accurate detecting approach to this issue. Intuitively, to detect plagiarism of documents is to detect how similar the documents are. There are only several automated systems for plagiarism detection. The complexity and performance of th
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Yu, Ching-Hsiang, and 游景翔. "Hybrid Plagiarism Detection in Computer Programs." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/9sytpz.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>Plagiarism in computer programs occurs frequently. A plagiarized program is often modified from the original copy and does not change its behavior. We propose a new approach to comparing two programs to determine their similarity. We combine the tree matching-based comparison and string matching-based comparison. First, the method finds similarity of structures between two programs using tree matching-based comparison algorithm. Then, sequential statements within similar structures are compared by using the string matching-based comparison algorithm. We use thi
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