Paper duplication checking is to detect whether there is plagiarism or other academic misconduct by comparing the papers uploaded by users with the documents in the duplication checking system. The duplicate checking system generally analyzes the language structure, semantic similarity and citation rules in the text to determine the similarity of the text.
The specific duplicate checking method can be divided into the following steps:
Users upload papers: users upload papers that need to be duplicated to the duplicate checking system.
The system automatically checks the duplicate: the duplicate checking system will perform segmentation detection according to the title, keywords, text and other contents of the paper, and record the repetition rate.
comparison resource library: the duplicate checking system will compare the papers uploaded by users with the comparison documents in the resource library to create a fingerprint index. Fingerprint index is a kind of data structure, which is used to efficiently find and identify duplicate content in the resource library.
detection result: the duplicate checking system will calculate the overall duplicate checking rate of the paper according to the comparison result, and feed back the result to the user. Users can make targeted modifications according to the repeated parts in the duplicate checking report to reduce the repetition rate of papers.
At the same time, when checking duplicate papers, we should also pay attention to maintaining the accuracy and credibility of documents, and we should not fabricate data or statements at will to reduce the repetition rate. If you have any other questions, it is recommended to consult a professional.