A Survey on Plagiarism Detection Techniques for Indian Regional Languages

Srivastava, Shruti; Govilkar, Sharvari

doi:10.5120/ijca2017913622

Cited by 5 publications

(1 citation statement)

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“…The development of information technology is now more advanced making documents that were previously physical have now been made in digital form so that digital copying can easily be carried out, which can lead to plagiarism. The vulnerability of plagiarism in digital documents encourages researchers to develop plagiarism checker software in detecting plagiarism, by measuring the level of similarity of the document with other documents using various techniques or algorithms [1]- [3]. In detecting digital document plagiarism, several methods can be used to measure the level of similarity of a document, namely the full-text comparison method, keyword similarity method, and fingerprinting method [4].…”

Section: Introductionmentioning

confidence: 99%

Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism

Rahmatulloh

Kurniati

Darmawan

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.

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Section: Introductionmentioning

confidence: 99%