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http://dx.doi.org/10.3745/KTSDE.2019.8.3.109

Implementation of A Plagiarism Detecting System with Sentence and Syntactic Word Similarities  

Maeng, Joosoo (한국방송통신대학교 이러닝학과)
Park, Ji Su (동국대학교 융합소프트웨어교육원)
Shon, Jin Gon (한국방송통신대학교 컴퓨터과학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.8, no.3, 2019 , pp. 109-114 More about this Journal
Abstract
The similarity detecting method that is basically used in most plagiarism detecting systems is to use the frequency of shared words based on morphological analysis. However, this method has limitations on detecting accurate degree of similarity, especially when similar words concerning the same topics are used, sentences are partially separately excerpted, or postpositions and endings of words are similar. In order to overcome this problem, we have designed and implemented a plagiarism detecting system that provides more reliable similarity information by measuring sentence similarity and syntactic word similarity in addition to the conventional word similarity. We have carried out a comparison of on our system with a conventional system using only word similarity. The comparative experiment has shown that our system can detect plagiarized document that the conventional system can detect or cannot.
Keywords
Plagiarism; Partial Plagiarism; Similarity Measurement; Word Similarity; Sentence Similarity; Syntactic Word Similarity; Morpheme Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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