Linguistic model of describing video game vocabulary: in relation to the problem of terminology unification

This work is dedicated to the development of a linguistic model for the unification of the vocabulary of video game discourse. The relevance of the study is determined by the rapid growth of the role of video games in culture and communication, as well as the lack of a unified systematic source of gamer terminology. During the research, a comprehensive linguistic analysis was conducted based on a complete sample of 50 terms. It was established that existing online resources do not possess a unified system for describing video game vocabulary, which leads to the existence of many different interpretations for the same lexical units. This work proposes to create a linguistic model for describing video game vocabulary by considering the functional-pragmatic qualities of the selected lexical units, which can unify this broad array of material and serve as a foundation for creating an electronic reference resource. The research methods used include descriptive, functional, pragmatic, typological, structural, component analysis, and comprehensive linguistic analysis. The key approach for analyzing the material is the functional-pragmatic approach. The novelty of the work is reflected in the fact that the parameters for the unification of video game vocabulary are systematized in a single linguistic model based on the functional-pragmatic feature. Earlier works in the field of video game discourse usually examine specific language classes and units but do not attempt to systematize the system as a whole, which this research aims to address by proposing how to systematize a vast amount of information. As a result of the research, a functional-pragmatic classification of video game vocabulary has been proposed, including five main classes (communicative, game design, economic, technical terms, and player typology terms) and the justification for highlighting genre terminology as a meta-class. It has been demonstrated that the proposed model allows for the systematization of vocabulary according to pragmatic criteria and can serve as a basis for creating a dynamic online dictionary with elements of AI moderation.