Структурні моделі нейронаукових термінів-словосполучень англійської та української мов: зіставний аспект

Abstract

У статті здійснено зіставний аналіз структурних моделей англійських та українських термінів-словосполучень у галузі нейронаук. Розкрито особливості синтаксичного способу творення терміносполук нейронаукової сфери. Визначено найбільш продуктивні моделі утворення нейронаукових термінів-словосполучень в англійській та українській мовах та представлено результати їх кількісного аналізу.

The article focuses on the contrastive analysis of the structural models of English and Ukrainian terminological word-combinations in the field of neuroscience. The characteristic features of the syntactic method of neuroscientific term formation are revealed. The most productive models of the formation of neuroscientific multicomponent terms in the English and Ukrainian languages are identified and the results of their quantitative analysis are presented. The importance of the research arises from the social significance of terminology studies in view of the rapid development of international cooperation, the intensification of professional communication and the lack of contrastive studies of the structural features of English and Ukrainian neuroscientific terms. The syntactic method of term formation is extremely important for replenishing specialized terminology. The contrastive analysis has shown that neuroscientific terminology in the English and Ukrainian languages is characterized by the dominance of two-component terminological word-combinations with attributive semantic-syntactic relations, and the most productive structural models are A + N and N + N. Among three-component structures, the most common are neuroscientific terminological word-combinations which are formed according to A + A + N model in both samples. Among four-component terminological word-combinations in the field of neuroscience, the most productive models are A + A + N + N in English and A + N + A + N in Ukrainian. In addition, the following regularity was revealed: with an increase in the word-combination length, the number of multicomponent terms decreases in both languages.