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Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1] [2]Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies.
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
In particular, substring matching procedures achieve good performance for copy and paste plagiarism, since they commonly use lossless document models, such as suffix trees. The performance of systems using fingerprinting or bag of words analysis in detecting copies depends on the information loss incurred by the document model used.
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It is usually possible to find the exact version in article history from which a mirror copy was made. Conversely, if the text in question was added in one large edit, and the text closely matches the external source, this is an indication of direct copying. When in doubt, double check search engine results with an experienced Wikipedian.
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Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.