Analytical Study of Traditional and Intelligent Textual Plagiarism Detection Approaches

Abstract

The Web provides various kinds of data and applications that are readily available to explore and are considered a powerful tool for humans. Copyright violation in web documents occurs when there is an unauthorized copy of the information or text from the original document on the web; this violation is known as Plagiarism. Plagiarism Detection (PD)can be defined as the procedure that finds similarities between a document and other documents based on lexical, semantic, and syntactic textual features. The approaches for numeric representation (vectorization) of text like Vector Space Model (VSM) and word embedding along with text similarity measures such as cosine and jaccard are very necessary for plagiarism detection. This paper deals with the concepts of plagiarism, kinds of plagiarism, textual features, text similarity measures, and plagiarism detection methods, which are based on intelligent or traditional techniques. Furthermore, different types of traditional and algorithms of deep learning for instance, Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) are discussed as a plagiarism detector. Besides that, this work reviews many other papers that give attention to the topic of Plagiarism and its detection.

A Quantum Genetic Algorithm for Building a Semantic Textual Similarity Estimation Framework for Plagiarism Detection Applications

“…Yet, simply applying the hash function based on the generated table may result in cases where the hash codes for the pattern and text are the same, yet the pattern’s characters do not match those in the text. For current surveys that include the most up-to-date research in the plagiarism detection area, please refer to [ 39 , 40 ].…”

DocCompare: An Approach to Prevent the Problem of Character Injection in Document Similarity Algorithm

“…Further, the hash values generated for the input document and the reference document are matched. The similarity measures between the documents shows the level of plagiarism in the document [15][16][17]. Many plagiarism tools were developed to detect the plagiarism based on fingerprints.Docol©c [18] Ithenticate [19], Turnitin, Urkund,Copycatch,WCopyfind,Plagiarism Detect,Exactus Like,DupliChecker,Plagiarisma, Plagiarism Checker, Viper and Plagiarism Scanner [7,20,21] are different software tools to check textual plagiarism based on finger prints.…”