ithenticate查重入口

ithenticate查重入口介绍

ithenticate查重是一款功能强大的论文查重软件,它可以帮助用户对学位论文、研究报告、论文集、会议论文、期刊文章等文献资料进行查重检测,可以快速准确地检测出学术论文中的抄袭次数、重复率,帮助用户进行论文审查、修改等工作。此外,ithentica... 详细

支持语言语种 检测需要多久
中文与英文等小语种 7分钟左右高峰期或许延迟。
数据库优势 查重报告
互联网数据,学位库,大学论文、研究生论文、硕士论文、期刊职称论文,报纸、杂志库,法律法规数据库,外文文献及小语种论文数据库。 四个报告,各类查重参数齐全;检测速度快;安全无痕迹,可自主删除检测记录和报告。
在线查重

ithenticate查重复权威靠谱

ithenticate查重介绍

ithenticate查重是一款用于查重的软件,主要用于学术论文查重,是一款功能强大、精确度高的软件。ithenticate查重专为学术论文查重而设计,支持全文查重和摘要查重,查重结果报告详细且准确,查重结果的报告还支持查看查重和抄袭的比例,以及查重报告中的重复文本段落,让用户可以更清晰的了解查重结果,分析出论文中存在的抄袭内容,有助于提高学术论文的质量。

1.ithenticate查重精确度高

ithenticate查重精确度高ithenticate查重系统采用了深度学习、机器学习等技术,支持海量数据,实现了更准确、更可靠的查重结果。

2.安全可靠

安全可靠ithenticate查重系统采用了安全的数据传输方式,保障了传输过程中数据的安全性,可以有效保护用户的数据隐私。

3.速度快

速度快ithenticate查重系统采用文本比对算法,支持多种文档格式,可以毫秒级处理上千篇文档,效率极高。

4.多样的提交检测方式且支持多种文档格式

多样的提交检测方式且支持多种文档格式支持复制&粘贴和上传文档两种方式提交论文检测,上传文档提交支持(doc、docx、txt)。采用自主提交的方式,实现论文检测过程“零接触”。

ithenticate相似度怎么查重

1、选择所需查重系统,点击【立即查重】进入论文查重入口。 2、上传word文档或输入需要查重的论文全文。
3、选择微信或者支付宝扫码支付,点击【提交论文】按钮。 4、提交论文成功后,请等待10-30分钟左右(高峰时期可能要排队一至两小时),可以点击【下载检测报告】下载检测结果。
5、下载检测报告(也可以稍后通过“报告下载”获取您的查重报告)。 6、ithenticate查重报告包括网页报告、ZIP离线报告和PDF简洁报告,用相应的软件打开即可。

ithenticate检测价格是多少

价格表:参考价位
1、本科/专科/:1元1000字 2、硕士查重:2元1000字
3、职称评定检测:12元1篇 4、杂志社期刊发表:20元1次
5、博士/书籍:6元1000字 6、函授/成人自考:2元千字

ithenticate注意事项

问:ithenticate查重安全吗?

ithenticate查重安全吗?答:ithenticate检测服务各产品支持多种送检方式与多种格式文件上传,传输存储技术安全可靠,检测过程放心安心。

问:提交论文后多久能获得检测报告?

提交论文后多久能获得检测报告?答:正常情况下,整个检测过程为五至十分钟,检测速度与长短、相似程度有关系。整个检测过程为系统自动操作,在此期间退出系统对于检测结果没有任何影响。

问:论文查重原理是什么?

论文查重原理是什么?答:原理是把论文内容跟查重系统收录的文献内容进行核对比对,如相似内容就识别为重复,就会标红,多少个字相似算重复,不同的反抄袭检测系统规定各不相同。

问:相似率多少才能通过呀?

相似率多少才能通过呀?答:相似率百分比只是描述检测文献中重合文字所占的比例大小程度,并不是指该文献的抄袭严重程度。百分比越大,重合字数越多,存在抄袭的可能性越大。是否属于抄袭及抄袭的严重程度需由学校或者审查后决定。当然,抄袭比例愈多所受的惩罚会愈严重,在某些国家地区,如果是整篇大量的抄袭甚至会触犯著作权法,必须负上赔偿的责任。

iThenticate学术报告英文文章查重规则和原理介绍

iThenticate 学术报告英文文章查重规则和原理介绍

iThenticate is an online plagiari detection service that helps to identify text that has been copied from other sources. It is a powerful tool for academic institutions, publishers, and authors to ensure that their work is original and accurate.

iThenticate uses a number of algorithms and rules to detect copied or similar content. It has a database of over 60 billion web pages and documents and uses a variety of technologies to compare documents for originality. The system looks at the structure of the text and compares it to the structure of other documents in the database. It then looks for similarities in content and formatting. In addition, iThenticate checks for proper citation and attribution of sources.

When a document is uploaded to iThenticate, the system will generate a score indicating the similarity of the text to other documents. This score can be used to determine if the text is properly cited, or if it contains plagiarized content. If plagiari is detected, iThenticate will provide the user with a list of sources from which the content was copied. The user can then review the sources and make corrections as needed.

iThenticate is also able to detect self-plagiari, which is when an author reuses portions of their own work without proper citation or attribution. This is an important feature, as it helps to ensure that authors don’t unfairly benefit from their own work.

Overall, iThenticate is a powerful tool for academic institutions, publishers, and authors to ensure that their work is original and accurate. By utilizing its algorithms and rules, it can detect copied or similar text and provide a score that can be used to determine if the text is properly cited or if it contains plagiarized content. This helps to ensure that authors are held accountable for their work and that their work is properly attributed.

iThenticate 学术报告英文文章查重规则和原理

iThenticate is a leading plagiari detection software that helps users identify textual similarities in documents. It is widely used in academic writing and research to ensure that all content is original and properly cited. The following are the main principles and rules behind iThenticate's plagiari detection system.

First, iThenticate compares documents to its database of webpages, academic journals and other sources to identify any matches. If a document contains text that matches with content from another source, it will be flagged. This helps users identify and address any potential plagiari.

Second, iThenticate also uses a proprietary algorithm to identify passages that are similar but not necessarily exact matches. This helps users identify potential plagiari that may not he been detected by a simple word-for-word comparison.

Third, iThenticate also provides users with a comprehensive report outlining the source of any matches that were found. This helps users address any potential issues and properly cite any sources that were used.

Overall, iThenticate is a powerful tool for identifying potential plagiari. It uses a combination of comparison algorithms and a database of sources to quickly and accurately identify any potential matches.

iThenticate 学术报告英文文章查重规则算法和原理详细介绍

iThenticate is an advanced plagiari detection software that helps detect and prevent plagiari in academic papers. It uses sophisticated algorithms to scan submitted papers for similarities to a variety of sources, including published works, websites, and other documents.

The iThenticate algorithm works by comparing the submitted paper to a database of over 50 million published works and web pages. It looks for similarities between the submitted text and the content in the database, and it highlights any potential matches. It also uses a variety of metrics to evaluate the similarity of the two sources, such as word choice, sentence structure, and overall writing style.

In addition to checking for plagiari, iThenticate can also suggest changes to the submitted paper that may help reduce the risk of plagiari. It can suggest rephrasing of sentences, alternative words, and other changes that can help make the paper more original.

Overall, iThenticate is an effective tool to help detect and prevent plagiari in academic papers. It is reliable, easy to use, and can help ensure that academic work is original and properly attributed.