Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model
Highly obfuscated plagiarism cases contain unseen and obfuscated texts, which pose difficulties when using existing plagiarism detection methods. A fuzzy semantic-based similarity model for uncovering obfuscated plagiarism is presented and compared with five state-of-the-art baselines. Semantic rela...
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| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
King Saud University
2015
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utm.my/55950/ http://eprints.utm.my/55950/ http://eprints.utm.my/55950/ |
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http://eprints.utm.my/55950/http://eprints.utm.my/55950/
http://eprints.utm.my/55950/