With the development of the Internet, the academic and educational circles have an increasingly strong demand for plagiarism checking submitted by students and researchers. The plagiarism check is designed to detect plagiarism and ensure academic integrity and the sustainability of academic development. Let's take a look at the impact of the weight reduction of the machine on the repetition rate.
However, there are some shortcomings of the traditional plagiarism checking system. On the one hand, manual duplicate checking is time-consuming and laborious, and the results may have subjective factors. On the other hand, the traditional automated plagiarism checking system can often only detect the same text, and cannot effectively identify the duplicate content that has been modified or slightly modified. This makes it impossible to ensure the accuracy and coverage of the plagiarism checking system.
Compared with traditional plagiarism checking systems, machine weight reduction technology has obvious advantages. Machine weight reduction refers to the use of artificial intelligence, natural language processing and other technical means to intelligently reduce the dimension of documents, and convert documents into representative feature vectors to achieve effective detection of duplicate content of documents. Compared with the traditional text matching algorithm, the machine weight reduction technology can better deal with the meaning similarity and semantic similarity between texts, so as to improve the accuracy and coverage of duplicate checking.
Secondly, the weight reduction of the machine can significantly reduce the duplicate check rate. Specifically, at present, the robot weight reduction is for the red statement with a relatively high degree of similarity in the report to reduce the weight, according to the ** professional, similar proportion is different, the weight reduction amplitude and effect are not the same, the machine weight reduction is only an auxiliary to the manual weight reduction, and the individual sentences that have been reduced also need to be manually corrected.
Further analysis found that machine weight reduction was particularly effective in detecting duplicate content for revisions and rewrites. Compared to traditional systems, machine weight reduction systems are better able to capture the repetitive content in a document, whether it's fine-tuning the choice of words or changes in sentence structure.
In short, the machine weight reduction technology has a significant effect on the repetition rate. The machine weight reduction system can better handle the semantic similarity of the text, which improves the efficiency and accuracy of the duplicate checking system.