There are a variety of commonly used plagiarism checking systems, which are mainly based on text comparison algorithms and database comparison techniques, supplemented by semantic analysis and other methods to detect duplicate or plagiarized content in papers. Here is a detailed introduction to some commonly used plagiarism checking systems and how they work:
1. Commonly used paper plagiarism checking system
1. CNKI duplicate checking system
- Introduction:CNKI is a widely used plagiarism checking system in China, especially favored by major universities and scientific research institutions.
- Working principle: Through its huge database, the CNKI duplicate checking system compares the papers to be detected with the documents in the database, and uses advanced text comparison algorithms to calculate the similarity. The system can not only detect text repetition, but also identify semantic similarities to a certain extent.
2. Census system
- Introduction: VIP is one of the leading plagiarism checking systems in China, which is suitable for many types of plagiarism checking needs.
- Working principle: Based on the database comparison technology, the paper to be detected is compared with the literature in the self-built database of VIP, and the duplicate content is identified by calculating the similarity. In addition, VIP also provides a wealth of plagiarism check reports to help users understand the plagiarism check results in detail.
3. Wanfang duplicate checking system
- Introduction: Wanfang plagiarism checking system is also one of the well-known paper plagiarism checking tools in China, with a huge academic literature resources.
- Working principle: Wanfang Duplicate Check compares and analyzes the papers to be detected with the documents in the database through its rich database resources, and uses the text comparison algorithm to calculate the similarity, so as to identify the duplicate or plagiarized content in the papers.
4.PaperYY
- Introduction: PaperYY is a website that provides free plagiarism checking services, which is very popular among college students.
- How it works: PaperYY uses its self-built database and advanced comparison algorithm to quickly check the plagiarism of uploaded papers. While the free version has certain limitations, the Pro and Premium versions offer more accurate plagiarism results and more features.
5.Turnitin
- Introduction: Turnitin is an internationally renowned plagiarism checking system that is widely used in universities and academic institutions around the world.
- How it works: Turnitin's global database and advanced comparison technology enable it to quickly and accurately detect duplicate or plagiarized content in papers. Not only does the system support multiple languages, but it also identifies plagiarism from external sources.
Second, the working principle overview
The working principle of the plagiarism checking system can be divided into the following steps:
- Text pre-processing: Convert the paper to be detected into a computer-readable form, including removal of formatting, word segmentation, and removal of stop words.
- Database comparison: Compare the preprocessed text with the database in the plagiarism checking system to find similar documents.
- Similarity calculation: Text comparison algorithms (such as cosine similarity algorithm, Jaccard similarity algorithm, etc.) are used to calculate the similarity between the paper to be tested and the Chinese contribution of the database.
- Generate a plagiarism check report: Generate a detailed plagiarism check report based on the similarity calculation results, point out the duplicate or plagiarized content in the paper, and provide the corresponding source information.
In addition, some advanced plagiarism checking systems also use semantic analysis techniques to better understand the meaning and context of the text, so as to more accurately judge the similarity between papers.
In summary, the commonly used plagiarism checking system can effectively detect duplicate or plagiarized content in papers and maintain academic integrity and intellectual property rights through text comparison algorithms, database comparisons, and semantic analysis.
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