Abstract
One problem of building a Thai plagiarism corpus is the unavailability of the corpus with real examples of plagiarized texts. To solve the problem, we present a new design and construction of a Thai plagiarism corpus, called TPLAC-2019, to evaluate the plagiarism detection algorithms for Thai. The process of Thai plagiarism corpus creation consists of two methods: 1) simulated plagiarism method, and 2) artificial plagiarism method. For the simulated plagiarism method, we provided a Thai plagiarism tagging tool called PlaTool and a Thai plagiarism guideline for assisting human annotators to plagiarize the text passages. As for artificial plagiarism method, plagiarized documents are automatically generated by a machine. Besides, a new method to automatically create plagiarized text passages is proposed in the artificial plagiarism method. The objective of this proposed method is to automatically create plagiarized text passages that resemble human language. To evaluate the performance of machine-generated Thai plagiarized text passages, we prepared the test sets which are generated from the baseline and the proposed methods. The experiments are set up to compare the readability of human-readable texts in plagiarized documents between two different methods. The experimental results show that the proposed method helps improve the readability of human-readable texts which is increased up to 40%.
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Thaiprayoon, S. et al. (2020). Developing a Framework for a Thai Plagiarism Corpus. In: Nguyen, LM., Phan, XH., Hasida, K., Tojo, S. (eds) Computational Linguistics. PACLING 2019. Communications in Computer and Information Science, vol 1215. Springer, Singapore. https://doi.org/10.1007/978-981-15-6168-9_42
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DOI: https://doi.org/10.1007/978-981-15-6168-9_42
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