When learning languages, writing an essay is one of the main methods for assessing students’ knowledge. However, with the development of information and communication technologies, language learning is also being transferred to online platforms. At the same time, as the number of students increases, the problem of evaluating students’ essays arises. In this paper, we offer an automated system that facilitates instructors while evaluating students’ essays. Currently, the system works for essays written in Turkish. The system was built using the Zemberek library. It allows one to extract text features the essay of several people at the same time on several indicators, namely, morphological analysis, vocabulary, the use of different language structures, etc. Currently, many automated essay grading tools are proposed, and one of the main factors that defined their accuracy it the extraction of text features. Thus, as further work, it is planned to use the data obtained using this essay assessment system together with instructors’ evaluation to create an expert system for automatic essay evaluation using machine learning techniques.
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