Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing 2018 Help me understand this report
Fuzzy Cross Language Plagiarism Detection (Arabic-English) using WordNet in a Big Data environment
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Cited by 4 publications
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“…A study utilized semantic metrics and WordNet for gauging the degree of semantic similarity between words and used it to calculate the similarity for texts and paragraphs of English-French and English-Arabic plagiarism instances Hanane et al (2016). Ezzikouri et al (2018) employed a fuzzy semantic approach to identify cross-language plagiarism cases employing Wu and Palmer's (1994) similarity metrics and WordNet to compute semantic similarity between words.…”
Section: Related Workmentioning
confidence: 99%
“…A study utilized semantic metrics and WordNet for gauging the degree of semantic similarity between words and used it to calculate the similarity for texts and paragraphs of English-French and English-Arabic plagiarism instances Hanane et al (2016). Ezzikouri et al (2018) employed a fuzzy semantic approach to identify cross-language plagiarism cases employing Wu and Palmer's (1994) similarity metrics and WordNet to compute semantic similarity between words.…”
Section: Related Workmentioning
confidence: 99%
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