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What is the duplicate checking system of HowNet?
HowNet duplicate checking system is a paper detection system based on artificial intelligence and big data technology, which can quickly and accurately detect duplicate contents in papers and provide corresponding suggestions for revision. The system is suitable for academic papers in various disciplines, which provides great convenience for teachers, students and researchers.

The working principle of HowNet duplicate checking system is to adopt hierarchical and multilevel fingerprint structure. For any document that needs to be detected, the system first processes it in layers, and creates fingerprints according to chapters, paragraphs and sentences. The same technology is also used to create a fingerprint index for the contrast documents in the resource library. This hierarchical multi-level fingerprint structure can not only meet the rapid detection of long documents, but also accurately identify citations and plagiarism in papers.

The duplicate checking system of HowNet has played an important role in preventing academic misconduct, which can improve the quality and academic integrity of papers and help users to better modify and polish papers. At the same time, the duplicate checking system of HowNet also provides corresponding duplicate checking reports and modification suggestions to provide users with more comprehensive and professional services.