With the occurrence of degree fraud, universities and even countries pay more and more attention to academics, and the supervision of thesis review such as degree graduation is also growing. The paper's duplicate checking rate must reach the assessment standard before it can really pass the duplicate checking. Different types of papers have different duplicate checking rates, and the duplicate checking rate of 5% is very low.
In general, the standard of qualified duplicate checking rate is 30%. When the duplicate checking rate of papers is 5%, paper users can choose excellent papers at junior college level. 5% duplicate checking rate is a perfect display of their academic ability and a profound manifestation of academic rigor, which is of great help to future work in the field of academic research.
Few users have a duplicate check rate of 5%. Because there are so many documents in society, paper users will quote some documents more or less when writing papers, so the duplicate rate of papers is very high, and some even have a duplicate check rate as high as 50%. For those users whose duplicate checking rate can't meet the assessment standard, it is necessary to reduce the paper repetition rate, but it is also skillful to reduce the paper repetition rate.
Judgment of duplicate checking of papers;
When the system checks, the duplicate checking system will automatically divide the paper into chapters according to a specific algorithm. If more than 65,438+03 characters in a fragment are similar, then this part will be considered to be repeated. The content of duplicate checking paper is mainly abstract and text, and the pictures, codes and mathematical formulas in the text do not participate in duplicate checking.
The paper duplicate checking system contains a very rich paper database, including graduation papers of previous students, papers published in periodicals, online documents, conference papers and so on. The rule of duplicate detection is to compare the uploaded papers with the contents of the system in the database through the algorithm of duplicate detection system, so as to get the overall similarity, that is, the repetition rate of the papers.
When the author uploads the paper to the duplicate checking system, the system will compare the whole paper with the database and mark the same or similar parts in red. If a large section of red text appears, it means that the text is plagiarized.