Ukrainian language

This article presents an expanded experimental comparison of the effectiveness of machine learning methods for the task of three-class sentiment classification (negative, positive, neutral). The research focuses on the specific domain of Ukrainian-language citizen appeals to city administration bodies, which is a relevant and practically significant task for the development of modern e-Governance and decision support systems.

The problem of automated error detection in Ukrainian texts is becoming particularly relevant in the context of the growth of digital content. A mathematical model of a decision support system for detecting errors in Ukrainian-language texts has been developed. The process of error identification has been studied as a multi-class classification task at the token level, considering the context of the text. The use of probabilistic models has been proposed to determine the type of error depending on the environment of tokens in the text.

The relevance of the research is due to the growing need to automate the processes of text analysis and correction, in particular for Ukrainian-language content, which is characterized by a wealth of morphological and syntactic structure. Due to the wide range of errors that can occur in texts, from spelling to contextual, there is an urgent need to create systems that can accurately identify errors and offer their correct corrections.

This article is dedicated to the study and analysis of grammatical error correction (GEC) tasks in Ukrainian language texts, which is a significant issue in the field of natural language processing (NLP). The paper addresses the specific challenges faced by automatic error correction systems due to the peculiarities of the Ukrainian language, such as its morphological complexity and contextuality. Examples of typical errors are provided, and the reasons why existing GEC methods often prove insufficient for Ukrainian are analysed.

The article focuses on the discussion of hyperhyponymy in the gender linguistics terminology. The systemacity as one of the main characteristics of the term is pointed out, the concepts of terminology and terminology systems are analyzed. It is noted that the hyponymic paradigm is one of the most important categories which form terminological structures. Among the mentioned hyponomic groupsthe two- and multilevel structures, the presence of which is one of the important grounds for the classification of gender linguistics terminology as a category of systems, are allocated.

The article deals with question of Latin lexicon as an integral component of museum staff professional language. Peculiarities of prepositive and postpositive components of Latin origin in the language of the recipient are determined. The most common terms are outlined. These terms coined by using components of Latin origin. Their semantics and formal structure are analyzed.

Ukrainian pharmaceutical terminology has been studied thematically and thematical classification has been fulfiled. Special features of thematical groups of Ukrainian pharmaceutical terminology have been analysed.

“Weapons of doomsday” – this is a documentary-fantastic novel about the alleged reproduction of rocket-nuclear weapons at a time, when the fare of Ukraine is being solved. This was facilitated by the use of modern military terms and nominations. They are the subject of the analysis in the article.

The nomenclature and nomination processes of naming and producing technical color nomens of automotive paints based on secondary nomination and transonymization are investigated. The main and most numerous groups of the automotive paint nomenclature are systematized and considered in detail, motivational aspects of nominating such items, as well as their structure, semantic field, and pragmatic frequency of using are determined.

The article deals with the words with the electro- component in the Ukrainian language. Fixation of such tokens in lexicographic works of different time slices is traced. Thematic groups of such words are identified, their belonging to different scientific fields, and also tracing the dynamics of changes in the semantic structure – its narrowing or expansion – some terms. Such words are compared with their counterparts in other Slavic languages.