Kontrastywna analiza językowa z wykorzystaniem modeli sztucznej inteligencji: porównanie języka niemieckiego i innych języków
Contrastive Linguistic Analysis Using Artificial Intelligence Models: A Comparison of German and Other Languages)

Summary/Abstract: With the rapid development of artificial intelligence (AI) and natural language processing (NLP), new opportunities are emerging in linguistic analysis, particularly in contrastive and comparative studies. Traditional methods of linguistic analysis are time-consuming and resource-intensive, making AI a valuable tool for such research. This paper aims to present an innovative approach to contrastive analysis of the German language in comparison with other languages, utilizing the latest AI models, such as transformer-based models (e.g., BERT, GPT). The analysis includes a comparison of grammatical and semantic structures, as well as an attempt at large-scale automated identification of differences and similarities. Compared to previous research, the discussed approach stands out due to the use of advanced AI tools that enable faster and more precise identification of linguistic differences. The research objectives included comparing AI-based methods in contrastive linguistics and assessing their effectiveness. The analysis revealed that AI can successfully identify structural patterns in languages; however, it remains dependent on the quality of the provided data. Based on the study’s results, conclusions regarding the role of AI in linguistic research will be presented. A potential practical application of these findings is the acceleration of research processes and the enhancement of precision in analyzing linguistic differences and similarities.

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