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What is text weight reduction? Let's talk about github changes

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2023-04-10 09:38:14942browse

In daily academic writing, plagiarism of papers or articles is becoming increasingly common. In order to prevent this situation, the application of text weight reduction technology has gradually become a hot topic in academia and industry. As the world's largest open source software development platform, whether Github can also be used to reduce text weight has become the focus of attention.

First of all, what is text weight reduction? Simply put, text reduction is to use technical means to determine whether there is duplication or plagiarism in an article or paper, and to mark or modify it. There are currently many text weight reduction methods, such as hashing, fingerprinting, LSH, etc. However, the limitation of these methods is that the accuracy of weight reduction is limited and it is difficult to deal with various complex text weight reduction situations.

Github is an open source community that integrates code hosting, task management, and collaborative development. It has more than 31 million users and 53 million code libraries worldwide. So can Github be used as a tool to reduce text weight? The answer is yes, some weight reduction tools in Github can provide some help.

One is JPlag, which is an open source cross-platform text weight reduction tool that can be used in Java, C, Python and other languages. Users can upload two or more code files in JPlag for weight reduction detection. JPlag will mark and count the similar codes or repeated parts, and finally display them in the form of a report.

The second is the code duplication checking system. This is a duplication checking tool developed based on Baidu’s intelligent text detection API. It can perform duplication detection on files and URLs submitted by users, and supports multiple file types. detection. It is simple to operate, just install it on Github and you can use it.

Generally speaking, although Github is not designed specifically for text weight reduction, some weight reduction tools in its community can play a certain role. Users need to weigh whether to use these tools and carefully consider the reliability, accuracy and ease of use of the tools.

In addition to these tools, there are many other weight reduction solutions in Github, such as combining text weight reduction with machine learning and other technologies to improve the accuracy of weight reduction. Therefore, we should use the tools and community resources provided by Github to actively explore text weight reduction technology and applications, and make our own contributions to academic research and industry development.

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