Review of the source base of the study of neural network modeling of linguistic units

The article highlights the peculiarities of the source base of neural network modeling research, which consists of the differentiation of the modern concept of ‘source’, as well as transformational changes in the functional role of the latter in modern (in particular, humanitarian and linguistic) research. The author emphasizes the productivity of dividing the above-mentioned base into: a) legal documents (the Constitution of Ukraine, laws, orders, regulations, concepts), which allow to identify the core principles of regulation of the analyzed issues and its specific features; b) analytical and reporting documents (reports, plans, etc.), which are representative of the formal indicators of achievement of certain tasks, deadlines, compliance with the work algorithm, etc; c) mass media (Internet platforms, portals, social networks, scientific blogs, websites, telegram channels, etc.) that illustrate socio-cultural changes in the linguistic landscape and can be productive for studying various regional changes (languages of national minorities, studies of certain age groups, etc.) and comprehending changes in the linguistic polysystem, contributing to a deeper understanding of the correlation between the components of the problem under study; d) artificial neural networks (ChatGPT (3.5 and 4), DALL E2, Gemini, LeiaPix, Narakeet, Pika, Runway, Sora, etc.) – a controversial group of sources, which is produced by the dual nature of the latter: they are both a tool and a source of research on neural network modeling of linguistic units; by their nature, they are one of the most representative types, since their actualization produces the practical implementation of certain hypotheses of the researcher with the comprehension of the proper parameterization of their functioning. Thus, the actualization of a diverse range of sources produces objectivity and completeness of modern humanitarian (in particular, linguistic) research, allowing a comprehensive analysis of the studied issues and ensuring the reproducibility, knowledge intensity, modernity, etc. of the scientific work carried out.