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iThenticate 学术报告英语文章查重规则和原理介绍

iThenticate是一款学术报告英文文章查重软件,它通过对学术文章中的文本进行比较,来检测出文章之间的相似度,以及文章中是否存在盗用、抄袭等情况。其原理是,当用户提交文章时,iThenticate会将该文章中的文本提取出来,与它自己拥有的巨大文本库（包括SCI、SSCI、A&HCI、EI、ISTP、包括百度学术、知网、万方、CNKI等中文数据库）中的文本进行比对,计算出文章的相似度,根据相似度的大小,可以判断出文章中是否存在盗用或抄袭的情况。iThenticate还支持人工智能识别,可以检测出文章中的某些词语是否被替换掉,以避免文章被盗用抄袭。

iThenticate 学术报告英语文章查重规则和原理

iThenticate is an online plagiari detection service that allows users to check their documents for potential text overlap with other documents on the web. This service is widely used by universities, publishers and other organizations to ensure that the content they create is original and not plagiarized. The service uses several rules and principles to detect plagiari, which are discussed in this article.

The first rule used by iThenticate is to compare the text of the document being checked to other documents that are already published on the web. It does this by scanning the text for words and phrases that appear in other sources, and then calculating the percentage of overlap between the two documents. If the percentage of overlap is greater than a certain threshold, then the document is flagged as potentially plagiarized.

The second rule used by iThenticate to detect plagiari is to compare the document being checked to other documents that he been submitted by users of the service. This is done by scanning the text for words and phrases that appear in other documents submitted by the same user. If a certain percentage of the text in the original document matches the text in the submitted document, then the document is flagged as potentially plagiarized.

The last rule used by iThenticate to detect plagiari is the use of a database of over 200 million documents that are scanned for text overlap. This database is continually updated and is used to compare the text in the document being checked to other documents that are already published on the web. If there is a high degree of overlap between the two documents, then the document is flagged as potentially plagiarized.

In conclusion, iThenticate is a powerful tool for detecting potential plagiari in documents. It uses several rules and principles to compare the text of the document being checked to other documents on the web, as well as documents that he been submitted by users. The service also uses a database of over 200 million documents to check for text overlap. By using these rules and principles, iThenticate is able to quickly and accurately detect potential plagiari in documents.

iThenticate 学术报告英语文章查重规则算法和原理详细介绍

iThenticate is an online plagiari detection service developed by Turnitin. It is widely used by academic institutions, publishers, and researchers to detect potential plagiari. The service is based on a powerful algorithm that checks for similarities between a submitted document and other online sources.

The iThenticate algorithm uses a variety of techniques to detect potential plagiari. The first is a comparison of the submitted document to other online sources. The algorithm checks for areas of the document that are similar to other sources, such as direct quotes, paraphrasing, or close matches to existing text. The algorithm also checks for patterns of text that are commonly used in plagiari, such as “copy and paste” techniques.

The algorithm also takes into account the context of the submitted document. It looks at the structure of the document and the topic being discussed. If the document is about a well-known topic, it is more likely to he similarities to other sources. The algorithm also takes into account the source of the document, such as whether it is a published article, a student paper, or a blog post.

When a document is submitted to iThenticate, the algorithm returns a similarity score. This score indicates the percentage of the document that matches other sources. If the score is above a certain threshold, the user is alerted that the document may contain plagiari. The user can then review the document and make a decision about whether to take further action.

The iThenticate algorithm is an effective tool for detecting potential plagiari. It is fast and accurate, and can be used by academic institutions, publishers, and researchers to ensure the authenticity of submitted documents.