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"Encouraging originality and eliminating academic misconduct" is the original intention of the academic detection system since its operation, "big data, accurate duplicate checking" is our mission to serve the majority of scholars. Since the establishment of the brand, with excellent detection algorithm and good user experience, it has won a warm response in the market. The academic self-service testing platform has rich comparative database, which supports the repetition rate detection of university students, graduate students, editorial department, professional title recognition and other papers. In the long-term cooperation with universities and scientific research institutions and other resource units, academics have accumulated more than 50 billion comparative documents, and constantly growing and improving the comparative database, aiming to provide users with better, faster and more detailed detection services.
1. Rich duplicate check reports, showing repeated information in multiple dimensions
Academic detection system, support mobile terminal, PC terminal view report. After the detection, four Report PDF, web page and other offline browsing formats are generated, including concise report, detailed report, comparison report and PDF report. The comparison of similar contents, summary of similar literatures, source of quoted fragments, total similarity ratio, citation rate, duplication rate and self writing rate are shown in detail. The comparison between arbitrary repeated fragments and large database papers is pointed out in detail. Offline real-time viewing can effectively avoid the adverse effects of network environment.
2. Support duplicate checking of multi language papers
Academic support includes Chinese (Simplified), Chinese (traditional), English, Japanese, Korean and other small language papers repetition rate detection.
3. Word red document
The unique function of marking red word document by academic experts greatly facilitates the author to revise the paper after duplicate checking. Usually, in the revision, we should use the original text to mark the red part of the test report, which wastes a large part of the author's time, from now on! With the help of the red marking function of word document, the paper modification is no longer complex.
4. Self built comparison database
Users can upload their own literature resources to the academic self built comparison database, and the system will automatically identify the contents of the self built comparison library when checking duplication, so as to realize the specified article repetition rate detection.
5. Reference specification
According to the national standard for paper references, relying on the local database, the scholars standardize the source of references, and provide references for repetitive fragments of paper detection results, which effectively reduces the paper repetition rate and increases the real utilization rate of literature. At the same time, the number of times that the literature has been cited by others is calculated for reference.
6. Massive academic literature comparison database
The academic comparative database includes: the full-text database of Chinese Sci-tech Journals; the full-text database of Chinese major newspapers; the characteristic database of Chinese patents; the full-text database of doctoral and master's degree papers; the characteristic database of Chinese Conference Papers; the literature resources of Hong Kong, Macao and Taiwan; the full database of foreign characteristic literature; the Internet data resources / Internet document resources; and the self built resources of colleges and universities Library; book resources; ancient literature resources; personal self built resources; Yearbook resources.
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