Research of Text Plagiarism Detection Process

  • Qin Xu
  • Yan Tang
  • Lan-su Nie
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 219)


The paper analyzes and summarizes the main types and forms of the present document copying. Then according to the process of document plagiarism detection, there are many main methods and the corresponding researches used in the various stages. The paper provides an overview of the meaning of text plagiarism detection, and proposes some further work on text plagiarism detection.


Text pre-processing Similarity between texts Text comparison Chinese text segment 


  1. 1.
    Bao J-P, Sheng J-Y, Liu X-D, Song Q-B (2003) A survey on natural language text copy detection. J Softw 10:95–102Google Scholar
  2. 2.
    Zhao J (2010) Detective ways against academic plagiarism. J HuNan Univ Technol Soc Sci Ed 1:157–159Google Scholar
  3. 3.
    Zhao J, Wang L, Wang P (2010) The research on how to detect plagiarism in the theses based on automatic abstraction. Comput Telecommun 2:31–33Google Scholar
  4. 4.
    Jin B, Shi Y, Teng H (2007) Document-structure-based copy detection algorithm. J Dalian Univ Technol 1:125–130Google Scholar
  5. 5.
    Zhao J, Hu X (2009) A way to judge plagiarism in academic papers based on word-frequency statistics of paragraphs. Comput Technol Dev 19:231–233Google Scholar
  6. 6.
    Cao Y (2005) Research of Chinese text plagiarism recognition system, vol 5. Nanjing Agricultural College, Nanjing, pp 25–26Google Scholar
  7. 7.
    Feng S, Xu X, Yang C (2002) The progress of domestic study for Chinese participle technology. J Inf 11:29–30Google Scholar
  8. 8.
    Wen X, Hou J, Qiu J, Zhang Y (2005) New way for Chinese word automatic segmentation: no dictionary segmentation. J Inf 2:2–4CrossRefGoogle Scholar
  9. 9.
    Gong C, Zhou Z (2004) Chinese word segmentation system research. J Beijing Inst Mach 19:52–55Google Scholar
  10. 10.
    Li X (2005) Copy detection system based on string matching documents, vol 36. Yanshan University, Qinhuangdao, pp 25–27Google Scholar
  11. 11.
    Shivakumar N, Molina HG (1995) SCAM a copy detection mechanism for digital documents. In: Proceedings of the 2nd international conference in theory and practice of digital libraries,vol 47. Austin, Texas, pp 9–17Google Scholar
  12. 12.
    Molina HG, Gravano L, Shivakumar N (1996) DSCAM: finding document copies across multiple databases. In: Proceedings of the 4th international conference on parallel and distributed systems, vol 35. San Diego, California, pp 46–52Google Scholar
  13. 13.
    Shivakumar N, Molina HG (1998) Finding near-replicas of documents on the web. Inf Technol: Res Educ 8:24–29Google Scholar
  14. 14.
    Wang S, Wang Y (2009) Algorithm of the text copy detection based on text structure tree. Xian Dai Tu Shu QingBao JiShu 10:50–55Google Scholar
  15. 15.
    Zheng T, Xu H, Dong L (2010) Research on the Chinese text plagiarism checker. J Hangzhou Dianzi Univ 10:117–120Google Scholar
  16. 16.
    Yu G, Pei Y, Zhu Z, Cheng H (2006) Research of text similarity based on word similarity computing. Comput Eng Des 2:241–244Google Scholar
  17. 17.
    Ma H, Liu G, Li X (2007) Research on Chinese document copy detection based on extraction key words. Comput Eng Sci 10(63–64):88Google Scholar
  18. 18.
    Zhao J (2008) The design and realization of classification-based paper plagiarism judgment system. Digit Libr Fo-rum 11:73–75Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.College of Computer and Information ScienceSouthwest UniversityChong QingChina

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