The database comparison is very comprehensive, 1. China's scientific and technological, academic, social science, liberal arts periodical database and newspaper network database have a total of more than 60 million articles. Dissertation, excellent master's thesis, some university characteristic databases, foreign language databases such as emerald, heinonline, jstor and other Internet data, and billions of web pages on the Internet. Ensure the privacy of paper inspection system data. It is unnecessary for users to log in to the system to detect paper, so as to ensure the privacy and safety of the largest users. The detection steps are simple. 2. Check the results of paper detection and analysis, and export the highlighted document information for modification. 2. Submit the online test paper (supporting Word, txt and pdf formats).
Wip paper detection system adopts "character fingerprint identification technology", which can accurately hit the character target without over-detection. Using the concept of text contribution to capture the invariant keywords in the text as the basis for comparing sentence differences, this technology can achieve accurate hits without causing excessive detection.
Detailed detection and analysis report According to the results of plagiarism detection, the system will automatically generate a detailed paper analysis report. The results include: self-writing rate and repetition rate. Similar words are highlighted for comparison, and they are distinguished with different colors for easy reading.
Our characteristic social function: self-built library "self-built library", as its name implies, is more than self-built library resources. You can upload all the references cited in the writing process to the self-built library, select the library for self-test, realize accurate free paper detection, and modify the paper plagiarism detection system according to the needs of all users.
It can detect a variety of test papers, with high efficiency and fast detection speed, and it only takes one second to detect the topic test paper. Paper similarity detection supports two ways: single paper detection and batch detection. You can choose a suitable detection method according to your own needs.
Many papers are not open to the public, so it is suggested that students can ask for help to check the duplicate, and the accuracy can be guaranteed.