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Paperfree detection system is a paper similarity comparison system developed by Hunan Shubang science and Technology Co., Ltd. the system uses multi-level fingerprint comparison technology combined with deep semantic mining identification and comparison, and uses fingerprint index to quickly and accurately find all similar articles in the paper data resource database deployed by cloud detection service In order to achieve efficient and high-quality paper detection.
Massive comparison Library
It consists of over 90 million academic journals and dissertations, and a database of over 1 billion internet pages
The main steps of paperfree system detection are: text preprocessing, semantic mining, depth recognition, and the detection accuracy is more than 99%
The system adopts distributed cloud computing, which can effectively speed up the calculation efficiency and promote the process of the project, which is 10 times faster than the conventional comparison speed. Under the condition of ensuring the quality of duplicate checking, the duplicate checking results can be removed in a few seconds.
Safety in sight
Using fingerprint comparison, the original text is converted into encrypted fingerprint after uploading, so there is no fear of original text leakage.
Self built comparison library function supports accurate duplicate checking
Users can upload the characteristic literature resources to the self built comparison database, and the system will automatically identify the contents of the self built comparison library to achieve accurate duplicate checking.
Support multilingual paper duplication checking
Paperfree supports duplicate checking in multiple languages, including Chinese (Chinese), English, Japanese, Spanish, French and other small languages.
Detailed duplicate check report, convenient for users to modify and polish the paper later
① Duplicate checking report includes web page report, zip offline report and PDF concise report, which supports local download and printing;
② The paper free duplicate checking report mainly reflects the overall similarity of the submitted articles, and the contents of comprehensive evaluation, detailed report, similar fragments and reference fragments can be classified and inquired;
③ Plagiarized, original and quoted contents are marked with different colors in the duplicate check report, and the detailed report provides suggestions for segment modification to facilitate later modification.
Intelligent reference recognition
Citation content is an essential part of the structure of a paper. Due to the differences of citation and labeling methods, some duplicate checking systems can not correctly identify the cited content, which makes the duplicate checking results unreasonable. The intelligent citation recognition technology of paperfree paper duplication checking system can effectively identify the citation content in duplicate checking articles, including some special reference symbols, which can also effectively identify and correctly avoid unreasonable quotation.
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