AI BASED PLAGIARISM CHECKER

COMPUTER SCIENCE AND ENGINEERING

Plagiarism is the act of copying another in recent years, plagiarism detection across languages has received particular attention; in this section, we will review various research from 2015 to the present. A study applied a new concept-based measure for weighing concepts in their graph representations, along with knowledge graph analysis. Their research centered on the utilization of several aspects from multilingual graphs, including word sense disambiguation, vocabulary expansion, and representation by similarities with a group of concepts. In addition to knowledge graph representation and plagiarism detection, an extension was made using continuous space representation (i.e., word embedding) and alignment similarity analysis. Another study combined semantic relatedness metrics from WordNet's knowledge networks between words and ideas to assess how comparable phrases person's work without giving that person or source credit or a source citation. Plagiarism detectors are made to detect this scam. Platforms powered by AI can offer a variety of techniques for making content readable, impactful, and grammatically sound. The primary justification for plagiarism is that it is the simplest and quickest approach to complete literary projects such as academic papers, articles, or essays. Sometimes students find it difficult to handle the workload and project deadlines, therefore they prefer to plagiarize rather than produce unique work.

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