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


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 3, pp. 109-114, Mar. 2019
https://doi.org/10.3745/KTSDE.2019.8.3.109,   PDF Download:
Keywords: Plagiarism, Partial Plagiarism, Similarity Measurement, Word Similarity, Sentence Similarity, Syntactic Word Similarity, Morpheme Analysis
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.


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Cite this article
[IEEE Style]
J. Maeng, J. S. Park, J. G. Shon, "Implementation of A Plagiarism Detecting System with Sentence and Syntactic Word Similarities," KIPS Transactions on Software and Data Engineering, vol. 8, no. 3, pp. 109-114, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.3.109.

[ACM Style]
Joosoo Maeng, Ji Su Park, and Jin Gon Shon. 2019. Implementation of A Plagiarism Detecting System with Sentence and Syntactic Word Similarities. KIPS Transactions on Software and Data Engineering, 8, 3, (2019), 109-114. DOI: https://doi.org/10.3745/KTSDE.2019.8.3.109.