Antonymy in the terminology of computational linguistics

   The article is devoted to the study of the phenomenon of antonymy in the terminology of computational linguistics.

   The purpose of the article is to reveal the features of antonymic relations in the terminology of computational linguistics on the basis of their comprehensive analysis.

   The research was carried out using the methods of description and definitive analysis of the actual material. As an auxiliary research method, a quantitative analysis of the prevalence of the analyzed types of antonym terms was used. As a result of the study in the terminology of computational linguistics, examples of lexical and word-forming types of antonymy have been identified. Polar prefixes are used to express opposite concepts. A classification of terms-antonyms of the professional field of computational linguistics has been compiled. According to the type of opposition expressed in the terminology of computational linguistics, antonyms function, expressing the opposite and complementary opposites. Within the framework of counterterms, antonyms with one or more mesonyms are identified. It has been established that antonymic units in the terminology under study express predominantly complementary relationships, which are characterized by the absence of mesonyms. On a structural basis, heterogeneous and single-root antonymic terms of computational linguistics are revealed. One-root antonymic pairs are formed using root prefixes with opposite meanings. In the terminology of computational linguistics, antonyms function, which differ in the following signs of opposition: direction and position in space, qualitative properties and characteristics, quantitative indicators, function performed, place, method and result of action. According to the number of components, antonymic units can be divided into one-word, two-word, threeword and multi-word. In the terminology of computational linguistics, the presence of antonymic-synonymous relationships has been revealed. The results of the study are of significant theoretical and applied importance, they can be used in lexicographic activities, teaching terminology disciplines and training courses for training specialists in the field of computational linguistics.

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