This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Plagiarism is one of the most serious academic offenses. However, people have adopted
different approaches to avoid plagiarism, such as transcribing excerpts from one language …

In recent years, the problem of Cross-Lingual Text Reuse Detection (X-TRD) has gained the
interest of researchers due to the availability of large digital repositories and automatic …

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 …

With the availability of digital data in different languages, cross-lingual plagiarism detection
has gained more importance. Cross-lingual plagiarism is difficult to detect because …

Cross-Lingual Text Reuse Detection (CLTRD) has recently attracted the attention of the
research community due to a large amount of digital text readily available for reuse in …

Identifying academic plagiarism is a pressing problem, among others, for research
institutions, publishers, and funding organizations. Detection approaches proposed so far …

Much progress has been made in the areas of diminishing, avoiding, and resisting
plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across …

Semantic analysis is an ongoing research area. This survey paper deals with the latest
updates in the field of text based semantic analysis. Various domains have been analyzed …

Cross-lingual plagiarism (CLP) occurs when texts written in one language are translated into
a different language and used without acknowledging the original sources. One of the most …