Use of Natural Language Processing Methods in Teaching Turkish Proverbs and Idioms

this study, a series of studies are proposed for easy learning of proverbs and idioms in the language. In Turkish, proverbs and idioms are structures that are used both in the academic environment and in their daily lives, especially by 10year-old students who have entered the abstract thinking stage. Since this structure contains abstract expressions, it seems difficult to learn at first. In the study, 2396 proverbs and 11209 idioms in the online dictionary of the Turkish Language Association were used. A pre-test was conducted to measure the knowledge level of 20 students selected as the study group. The structure of idioms and proverbs was analyzed using Natural Language Processing methods. With the analysis, difficulty groups were divided according to information such as word count, n-gram analysis, frequency level, and the student was asked questions from the online question pool for the tutorial and the test during the process. Generative artificial intelligence enables semantic analysis of texts containing idioms and proverbs. Following the studies, a test was applied to the students and the efficiency of the process was tried to be measured. As a result, students' idiom knowledge increased by 51.8% and proverb knowledge increased by 59.40%.