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This task is rendered difficult by the use of sophisticated plagiarism techniques such as paraphrasing and summarization, which mask the occurrence of plagiarism. In this work, a monolingual plagiarism detection technique has been developed to tackle cases of paraphrased plagiarism. A support vector machine based paraphrase recognition system, which works by extracting lexical, syntactic, and semantic features from input text has been used. Both sentence-level and passage-level approaches have been investigated. The performance of the system has been evaluated on various corpora, and the passage level approach has registered promising results.<\/jats:p>","DOI":"10.1515\/jisys-2014-0146","type":"journal-article","created":{"date-parts":[[2015,4,2]],"date-time":"2015-04-02T13:57:06Z","timestamp":1427983026000},"page":"351-359","source":"Crossref","is-referenced-by-count":13,"title":["Plagiarism Detection Using Machine Learning-Based Paraphrase Recognizer"],"prefix":"10.1515","volume":"25","author":[{"given":"A.","family":"Chitra","sequence":"first","affiliation":[{"name":"Professor and Head, Computer Applications, PSG College of Technology, Coimbatore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anupriya","family":"Rajkumar","sequence":"additional","affiliation":[{"name":"CSE Department, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2015,4,2]]},"reference":[{"key":"2025120523262707289_j_jisys-2014-0146_ref_001_w2aab3b7d141b1b6b1ab2ab1Aa","doi-asserted-by":"crossref","unstructured":"S. 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