Topic
Plagiarism detection
About: Plagiarism detection is a research topic. Over the lifetime, 1790 publications have been published within this topic receiving 24740 citations.
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15 Sep 2014
TL;DR: This paper describes the approaches for the Plagiarism Detection – Source Retrieval task of PAN 2014, which combined and improved methodology used at PAN 2012 and PAN 2013 and combines three types of queries.
Abstract: This paper describes our approaches for the Plagiarism
Detection – Source Retrieval task of PAN 2014. We combined and
improved methodology used at PAN 2012 and PAN 2013. Our system
combines three types of queries: The keywords-based queries;
the paragraph-based queries; and the headers-based queries. The
queries are distinguished also by other properties such as the
phrase query or the positional query. The queries are submitted
to two search engines – Chatnoir and Indri – according to their
properties. The query’s position serves for the search control,
minimization of the total number of executed queries is the
system’s priority. Downloaded documents are textually compared
with the suspicious document and if a similarity is found, the
downloaded document is reported.
7 citations
TL;DR: In this article, the concurrent emergence of online writing assistance services and web-based plagiarism detection tools is discussed and the implications of both for student-faculty relations, faculty workload, and student learning.
Abstract: While there is nothing new about academic dishonesty, how it is committed, prevented, and detected has been dramatically transformed by the advent of online technologies. This article briefly describes the concurrent emergence of online writing assistance services and Web-based plagiarism detection tools and examines the implications of both for student-faculty relations, faculty workload, and student learning. Finally, we provide three alternative strategies for deterring, detecting, and documenting all forms of plagiarism.
7 citations
TL;DR: CrossCheck, a plagiarism detection service, is to be offered by the independent publishers’ membership association CrossRef, which functions as a sort of digital switchboard for articles from several hundred scholarly and professional publishers.
Abstract: Editors of scientific journals will soon have a new weapon at their disposal in the fight against research misconduct, delegates at the annual meeting of the Committee on Publication Ethics, held in London last week, were told.
Scheduled for launch in June, researchers and editorial staff will be able to access CrossCheck, a plagiarism detection service, offered by the independent publishers’ membership association CrossRef.
CrossRef is a collaborative reference linking service that functions as a sort of digital switchboard for articles from several hundred scholarly and professional publishers. Each item has …
7 citations
01 Oct 2019
TL;DR: String matching is an approach for plagiarism detection in computer sience that uses a “character by character” matching method and generates a percentage of the similarity of the document by calculating the N-Gram result with Dice's Similarity Coefficient.
Abstract: One method to prevent plagiarism is to rely on plagiarism checker application. However, prevention of plagiarism to date in Indonesia still relies on the plagisarism checker held by institutions/organizations outside Indonesia for example Turnitin, Dupli Checker, Copyleaks, PaperRater, gramarly, etc. Plagiarism checker applications currently use methods that are applied for English. Development of plagiarism checker application for Bahasa requires support from multiple disciplines. Bahasa has a very unique pattern and different from English. String matching is an approach for plagiarism detection in computer sience. String matching approach is a “character by character” matching method. This approach could also use hashing block of the character and then use n-Gram to match the hashing block. But before n-Gram, file or ducument need a preprocesing such as tokenization, stopword removal, stemming, dan hashing with Rabin-Karp algorithm. The plagiarism detection system with a string matching approach generates a percentage of the similarity of the document by calculating the N-Gram result with Dice's Similarity Coefficient. For text extraction on a system built with tokenization, stopword removal, and stemming. The text then randomized using the Rabin-Karp method.
7 citations
04 Apr 2013
TL;DR: Holmes can detect plagiarism in a substantial corpus of Haskell programs submitted by undergraduate students in a undergraduate level functional programming course over a period of ten years, and its sensitivity to superficial changes in the source code is considered.
Abstract: Holmes is a plagiarism detection tool for Haskell programs. In this paper, we describe Holmes and show that it can detect plagiarism in a substantial corpus (2,122 Haskell submissions spread over 18 different assignments) of Haskell programs submitted by undergraduate students in a undergraduate level functional programming course over a period of ten years, and consider its sensitivity to superficial changes in the source code.
7 citations