Abstract
The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti-plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus.
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References
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Kong, L. et al. (2015). HawkEyes Plagiarism Detection System. In: Wang, H., et al. Intelligent Computation in Big Data Era. ICYCSEE 2015. Communications in Computer and Information Science, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46248-5_56
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DOI: https://doi.org/10.1007/978-3-662-46248-5_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46247-8
Online ISBN: 978-3-662-46248-5
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