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Automatic Plagiarism Detection Using Word-Sentence Based S-gram


Paper Type 
Contributed Paper
Title 
Automatic Plagiarism Detection Using Word-Sentence Based S-gram
Author 
Pakinee Aimmanee
Email 
pakinee@siit.tu.ac.th
Abstract:
Plagiarism is an academic problem that is caught more and more each year. Common tricks that the cheaters normally use is inserting and removing a few extra terms, sentences, or paragraph to the original copy to trick the reader that the plagiarist copy and the original copy are unalike. This paper provides a new way to detect the plagiarism by checking the similarity between sentences, and paragraphs using s-grams which is an n-gram unit that allows some terms to be skipped to be used in term, sentence, and paragraph representation in finding the similarity between two documents. We discovered that our technique considerably outperforms the existing techniques.

Keywords: s-gram, sentence similarity, paragraph similarity, document similarity, and plagiarism.
Start & End Page 
1 - 7
Received Date 
2010-07-15
Revised Date 
Accepted Date 
2011-01-31
Full Text 
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Keyword 
s-gram, sentence similarity, paragraph similarity, document similarity, and plagiarism
Volume 
Vol.38 (SPECIAL ISSUE 2011)
DOI 
SDGs
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Chiang Mai Journal of Science

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