The problem of incorrect borrowing, or, simply put, plagiarism, in the works of students and scientific articles has existed for many tens, if not hundreds, of years. In the 21st century, along with the rapid development of the Internet, social networks, and neural network services, the problem of educational plagiarism has become extremely serious. In the context of an abundance of information, she touched not only negligent students, but also responsible excellent students who, due to inattention, do not indicate links to sources. Naturally, even isolated cases of plagiarism in student and scientific papers can seriously affect the reputation of a scientific journal or university.

For many years, universities and scientific organizations Kazakhstan used foreign solutions to search for incorrect borrowings . However, in 2021, a domestic software developer entered the scene. The company "Anti-Plagiarism.Kazakhstan has created a system of the same name for detecting unethical borrowings. The system is based on a neural network trained to identify text fragments in the materials being checked that have already been used in other works. The task of the service is not only to "catch" students on plagiarism, as it may seem, but also to help them correctly refer to the resources used and correctly design their work.

Relying on the resources of the international technopark Astana Hub, of which she is a resident, the company quickly took a leading position in the market and became an academic integrity partner of 67 large universities, 112 organizations, research universities and publishing houses. In 2021 Last year, the company won the competition of the Ministry of Science and Higher Education of the Republic of Kazakhstan and signed an agreement on the supply of the system to 50 republican organizations, including seven ministries, the presidential administration and other government agencies.

The company continues to develop domestic plagiarism search technologies. The functions of the system are not limited solely to the search for text borrowings, which is present in all solutions. The Anti-Plagiarism system.Kazakhstan" includes the search for translated texts from more than 100 languages, the search for borrowed images, taking into account various changes. The system understands the structure of the document, which allows you to more accurately determine its originality, discarding those parts that are used for the design of works, such as bibliography or content. At the exit, the examiner receives a detailed report with a percentage of originality and an indication of the sources in which the text elements from the work under review were found.

In 2023, services that generate texts based on user requests became popular . Such as ChatGPT and analogues. The company "Anti-Plagiarism.Kazakhstan" quickly responded to the changes by releasing a detector of texts written by a neural network in Russian and English. This is a tool that checks texts for the presence of artificially generated fragments and reports information about it. Thus , the report informs the system user that there are signs of artificial generation in the text.

The detection algorithm is also based on artificial intelligence, trained to solve not the task of generating texts, but the task of classifying texts into artificial and natural ones. The system divides each text into parts and classifies each of them separately. Rapid success in development was achieved thanks to many years of research experience in Natural language processing ( NLP).

The current stage of development is the work on the definition of artificially generated texts in the Kazakh language. This is an important step in ensuring academic integrity and maintaining a high level of education in the country.

For educational institutions, checking students' work for uniqueness through the Anti-Plagiarism system.Kazakhstan" is crucial. Firstly, it allows to improve the quality of education and science in the Republic of Kazakhstan, preventing cases of unethical borrowing. Secondly, the use of an automated system significantly saves the time of teachers and supervisors, speeding up the verification process and ensuring higher efficiency of training and research work.

Thus, "Anti-plagiarism.Kazakhstan" not only helps in the fight against borrowing, but also contributes to improving the quality of education and scientific research. Its functionality and capabilities are constantly being improved in accordance with the development of modern technologies and the challenges facing educational institutions and the scientific community.