Second, the condition of hownet paper detection is that 13 consecutive similar or plagiarized words will be marked in red, but the prerequisite in 3 must be met: that is, the sum of A documents you quoted or plagiarized should reach 5% in each detection paragraph.
3. HowNet's dissertation is tested as a whole article, and the format may have an impact on the test results. It is necessary to submit the final submission format for testing, so as to minimize the impact, which may not be detected in a small segment with dozens of impacts. Papers over 30,000 words can be ignored.
Extended data
definition
Paper duplication checking, also known as paper detection, is a computer software system to deal with academic misconduct and plagiarism of academic papers.
Principle of duplicate checking system
The paper duplication checking system is to establish a set of paper comparison database first; The comparative database includes academic journals, dissertations, conference papers, full-text patents, web directories and documents, foreign language libraries and other unpublished or published papers. After the documents are submitted to the paper duplicate checking system, they are put into the comparison database for similarity detection. If a sentence, a paragraph or the whole article is similar to the article in the comparison database, it will be regarded as repetition.
After comparing the whole article, a corresponding comparison document will be generated. This kind of comparison file is usually called paper duplicate detection report. The report is usually in web online format or PDF format, and the detection report will have similar duplicate detection ratio, duplicate content and source of duplicate content.
Paper duplicate checking system seems simple, but it needs powerful technology.
Support, including resource acquisition technology, text database processing technology, text database technology, digital resource copyright protection technology, knowledge mining technology? Natural language processing technology, fast comparison technology, etc.
The above technology is the basic guarantee to realize fast and accurate detection on the basis of massive full-text data. In addition, the main resources related to scientific research and learning, such as periodicals, dissertations, conference papers, newspapers, yearbooks, reference books, patents, foreign documents and academic literature citations, need to be included in the detection and comparison database to support the paper duplication detection system.