IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE TOOLS IN THE FIELD OF WRITTEN TRANSLATION TRAINING
DOI:
https://doi.org/10.31861/gph2025.855-856.106-115Keywords:
artificial intelligence (AI), computer-assisted translation (CAT) tools, generative AI applications, digital pedagogy, professional translation, German for agronomists, methodology of teaching written translationAbstract
The thesis is devoted to an in-depth study of methods for implementing artificial intelligence (AI) tools in the teaching of written translation of scientific and professional texts in the agricultural field. The research focuses on analyzing how digital technologies, particularly AI-powered translation programs and computer-assisted translation (CAT) systems, can enhance the process of developing translation competence among students of higher education institutions. The study aims to assess the effectiveness, feasibility, and pedagogical potential of integrating such tools into university courses on written translation, as well as to identify the challenges and limitations that accompany their use.
The object of the study is the process of teaching written translation in higher education under the conditions of the digital transformation of the educational environment. The subject of the research is the use of AI-based translation programs, CAT tools, and generative AI applications – such as machine translation engines, terminology management systems, and large language models – in the professional training of future translators and specialists in the agrarian sector. Special attention is paid to the translation of German-language scientific and technical texts on topics related to agronomy, animal husbandry, and environmental management into Ukrainian.
The thesis analyzes methodological approaches to the integration of artificial intelligence technologies into educational practice, emphasizing the balance between human translation competence and automated assistance. The results of the research demonstrate that a thoughtful combination of traditional teaching methods with modern AI tools contributes to improving translation accuracy, speed, and student motivation, thereby increasing the overall efficiency of professional language training.
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