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Copy check system

Copycheck is a similarity checking system for Chinese academic papers. It is an authoritative and reliable online website for Chinese academic plagiarism inspection. On October 30, 2015, the development and testing of beta version of copycheck paper detection system was completed, and trial operation was started to provide services. Copycheck focuses on Chinese academic plagiarism. Based on 100 million level academic journals, dissertations, Internet data and public number data, copycheck adopts big data Chinese semantic recognition and comparison technology to protect academic originality.

Applicable population: graduation thesis, journal published testing time: 60 minutes testing quantity: 31267

Refund after submission: once the system is submitted, it will not be refunded after testing! If you have any questions, please contact customer service before submitting.

Introduction to the process of checking duplicate papers

Sample of paper duplicate checking report

Copycheck is a similarity checking system for Chinese academic papers. It is an authoritative and reliable online website for Chinese academic plagiarism inspection. On October 30, 2015, the development and testing of beta version of copycheck paper detection system was completed, and trial operation was started to provide services. Copycheck focuses on Chinese academic plagiarism. Based on 100 million level academic journals, dissertations, Internet data and public number data, copycheck adopts big data Chinese semantic recognition and comparison technology to protect academic originality.

Massive database

The comparison database of copycheck consists of tens of millions of academic journals and dissertations, as well as a database of over one billion internet pages and public number databases. The comparison library only extracts the key feature information of the article, without the full text.

Advanced detection algorithm

Using the self-developed big data text fingerprint comparison technology, combined with the characteristics of Chinese semantic recognition, using text preprocessing, semantic mining, depth recognition, full-text retrieval, intelligent matching detection mechanism to make plagiarism nowhere to hide.

The detection results are accurate

The accuracy rate of detection is more than 96%.

The detection speed is fast and the test report format is rich

Normally, the whole test process takes 5 to 10 minutes. It may take a long time if there is a peak time for duplicate checking.

Four kinds of test reports (concise web report, full-text web report, similar fragment comparison PDF report and original red report) meet the needs of users for different types of reports.

Reference citation recognition

Identify and distinguish the correct references cited in the paper, and issue (not) the similarity ratio of the two situations, so that users can know it well.

Provide modification suggestions for similar segments

Combined with semantic analysis, it provides a variety of modification schemes for similar fragments, which is conducive to users' faster completion.

4 test reports

It includes concise web report, full-text web report, similar fragment comparison PDF report and original red report, which meets the needs of users for different reports.

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