О конъюнктивном употреблении разделительных союзов (на материале польского и русского языков)

The author considers the problem of conjunctive use of disjunctive conjunctions in the perspective of functional grammar. In the first part of the article, the author verifies the logical approach to conjunctions, especially disjunctive conjunctions. The linguistic meaning of a conjunction is defined as information on the credibility or applicability of a (semantically) compound sentence under condition [10, 01], which means an alternative participation of referents in the described situation. In the following chapters, the author analyzes several language facts, namely sentences that contain a disjunctive relationship and which nevertheless express the general meaning of conjunction. The author explains these phenomena by the fact that in such sentences there are the types of configurations of conjunction with the exponents of other semantic categories: quantification and modality.

Interior of coworking center as a unique art space of the XXI century

The purpose of the article is to identify trends and patterns of organization of the artistic space of the modern interior of the coworking center, as well as the creation of scientifically sound methods that argue appropriate ways to solve design problems in the field of aesthetics of the XXI century. Research methodology. The theoretical, structural, philosophical, and aesthetic method is applied; method of artistic and stylistic analysis to identify features of the interior design of Kyiv coworking centers; structural-semiotic method, which determines the artistic and figurative content in the interior design of modern coworking space. Scientific novelty. The main theoretical concepts that became the basis for defining the interior of the coworking center as a unique type of artistic space are considered; -an analysis of the basic spatial concepts developed by famous philosophers who understand it as an artistic space; identified and analyzed the features of artistic solutions in the process of designing working interiors of domestic coworking centers; the factors of influence on the artistic and figurative decision of the interior of the coworking space are determined. Conclusions. Based on the analysis of existing spatial concepts, it is determined that the space of a modern coworking center can be considered one of the types of artistic space and identify certain semantic categories (according to Gabrichevsky, Spengler, Heidegger, etc.). Characteristic techniques and means of artistic expression of modern interiors of coworking centers, which are related to the understanding of space as an artistic concept, reflect the idea of ​​its polyphony and determine the artistic and aesthetic principles of domestic interior coworking center in the first decades of the XXI century. The study found that in the interiors of modern Kyiv coworking spaces ("Magazine", "Platform" (Leonardo Business Center and Art Factory), "New Work Labs", "Kooperativ", "Hub 4.0", "Creative Quarter", "LIFT99 Kyiv Hub", "Anthill Space", "Lofti Space", "Creative States", "Toloka", "Garden - Smartwork") implemented Eurasian and European types of organization of artistic space. Keywords: coworking center, interior design, artistic space, subject-spatial environment.

The Lexical Availability of “Daily Activities” in Learners of Spanish (SFL)

The objective of the present work, which focuses on the teaching and learning of Spanish vocabulary, is to present the lexical availability of Slovene students of Spanish as a foreign language (SFL) in the semantic category “daily activities”. The quantitative and qualitative differences and similarities of lexical availability output in this semantic category, as obtained by two groups of informants of different levels of SFL, are compared: 100 high school students (approximate level B1) and 100 university students (approximate level B2 +). The results obtained from this sample are compared with those of a study carried out by Sánchez-Saus Laserna (2011), which presents a sample of 322 SFL informants of different mother tongues in the same semantic category. This category, which is not one of those traditionally used in the studies of lexical availability, has been chosen since the lack of other grammatical categories than nouns is one of the main problems that has been attributed to the studies of lexical availability, which makes it impossible to closely reflect the vocabulary that SFL students know. Likewise, it is intended to check if the associations correspond to the grammatical category of the stimulus (in this case the verbs), since other semantic categories are indicated by the nouns. We intend to check the validity of the following hypotheses: 1) The production of lexical availability of high school students with less knowledge (B1) of Spanish is lower than that of university students (B2 +). 2) There is a qualitative similarity between the results of the two groups of Slovene SFL students. 3) For the most part, the associations correspond to the same grammatical category indicated by the cue words of the semantic category; in this case the verbs. 4) There is quantitative and qualitative similarity between the results of the present study and those of Sánchez-Saus Laserna (2011).

A Personality Prediction Method of WEIBO Users based on Personality Lexicon

Personality is the dominant factor affecting human behavior. With the rise of social network platforms, increasing attention has been paid to predict personality traits by analyzing users' behavior information, and pay little attention to the text contents, making it insufficient to explain personality from the perspective of texts. Therefore, in this paper, we propose a personality prediction method based on personality lexicon. Firstly, we extract keywords from texts, and use word embedding techniques to construct a Chinese personality lexicon. Based on the lexicon, we analyze the correlation between personality traits and different semantic categories of words, and extract the semantic features of the texts posted by Weibo users to construct personality prediction models using classification algorithm. The final experiments shows that compared with SC-LIWC, the personality lexicon constructed in this paper can achieve a better performance.

Metonymy and Croatian adverbial clauses

In this article I examine some metonymic aspects of the semantics of Croatian connectives introducing adverbial clauses of cause, condition, purpose, and concession. The analysis leans on the theory of conceptual metaphor and metonymy and, to a lesser extent, on cognitive grammar. It is also informed by grammaticalization scholarship within typological functionalism. I explore metonymic mappings between the categories of time and cause, manner and cause, cause and condition, purpose, cause and concession, condition and concession, time and condition, and metonymic mappings operating at the level of speech acts. The goal is to contribute to the growing, though still arguably small, body of cognitive linguistic research into the relevance of metonymy for the semantics of complex sentences, specifically the role it plays in subordination, and to expand this analysis to subordinate constructions in Croatian. Some attention is given to grammaticalization studies, where metaphor and metonymy are seen as two types of pragmatic inferencing facilitating interactions between the mentioned semantic categories in complex sentences.

Mass Media and Conflicts: Media-Geographical Studies

This article presents the results of media geographical studies of publications of American and European mass media covering conflicts and crises of different levels and scales (global, international, regional, and local). Through the prism of media-geographical views on the processes of media reality formation, the author examined mass media approaches of different countries on the topic of coverage. The research methodology included media metric analysis, rank analysis (rank distributions of the popularity of semantic categories for Internet audiences around the world), quantitative and qualitative content analysis of media texts and analysis of publications according to the criteria of the theory of peaceful journalism. The results of the rank analysis illustrated the possibilities of using this method to study the mental landscapes of different countries and regions. Special attention was paid to the interpretation of meanings and their transformation in space and time, as well as to the spatial analysis of big data (based on Google Trends statistics) with an emphasis on the dynamics of changes in media behavior and media consumption of Internet audiences in different time periods. The empirical basis for content analysis was made up of publications of online versions of 10 American and European mass media in English, German and French of 2020. The main result of the study: the majority of media texts — about 80 % — do not contribute to the search for ways of peaceful settlement of conflicts (they abound in emotionally colored vocabulary, negative markers, categorical assessments, journalists do not make attempts to deeply analyze the situation, synthesize different positions and search for creative non-violent ways to resolve contradictions). Mass media publications often become a source of increasing tension in society, the parties of conflicts are represented as antagonists in media texts, journalists fail to establish a connection between them and bridge the gap between their interests. The results of a comparative analysis of media texts according to the criteria of the theory of peaceful journalism allowed us to classify the main approaches for the mass media conflicts covering and develop a number of proposals and recommendations to use in journalistic practice.

ТАКСОНОМІЯ АСОЦІАЦІЙ ПРОВІДНИХ КОНЦЕПТІВ РЕЛІГІЙНОГО ДИСКУРСУ

The abstract reveal the problem of the prevailing ideas of young people about the leading religious concepts. The aim of the research is to analyze students" verbal representations of religious discourse concepts. To define the leading concepts, we used a structural approach, which the classic components are: behavioral (prayer, sermon, sacraments), emotional-motivational (faith, sin) and cognitive (religion, church, priest). We used free WAT (word association test) for psycholinguistic analysis. The results of the cluster analysis showed that in the minds of young people religious discourse is represented through two main semantic categories, namely faith and the church - the priest.

A Few Remarks on Prototype Theory in Cognitive Linguistics

The purpose of the present paper is to demonstrate both the historical background of the prototype theory and its definitional problems. It presents two fundamental tenets of cognitive linguistics and the origin of prototype theory. Eleonor Rosch introduced her theory (1975) in order to explain how semantic categories are perceived by our mind.

The Meaning of Plurality in Voice and Aspectual Constructions (Based on the Material of the Yakut Language)

The article is devoted to the functional-semantic analysis of the Yakut predicative constructions which are derived from verb stems in the form of comitative-reciprocal voice and frequentative aspect. Yakut verb forms under discussion, when expressing the categories of reciprocity and distributivity, fall into the functional-semantic field of plurality, in connection with which the problem of intersecting fields and of the interaction of semantic categories within a certain field inevitably arises. The analysis demonstrated that the difference between distributive constructions and reciprocal constructions in the Yakut language consists, first of all, in their content: the semantic invariant for the former is the multiplicity of the action itself whereas for the latter type it is the multiplicity of participants in the action. Objective distributive constructions, as a rule, have three arguments: apart from the agent and patient arguments they also contain an additional object argument which denotes the goal of the action. In reciprocal constructions indicating this participant of the situation is not obligatory. Furthermore, reciprocal and distributive constructions are formed on the basis of verbs which belong to different semantic groups. The majority of indicated verbs represent voice forms derived from the same stem and imply action performed on something plural or something consisting of many parts. Herewith, Yakut reciprocal and distributive constructions are characterized by nearly the same set of group arguments. However, the character of the group argument is particularly important for constructions with distributive content, in reciprocal constructions arguments are almost always singular animate objects.

A bio-inspired adaptive model for search and selection in the Internet of Things environment

The Internet of Things (IoT) is a paradigm that can connect an enormous number of intelligent objects, share large amounts of data, and produce new services. However, it is a challenge to select the proper sensors for a given request due to the number of devices in use, the available resources, the restrictions on resource utilization, the nature of IoT networks, and the number of similar services. Previous studies have suggested how to best address this challenge, but suffer from low accuracy and high execution times. We propose a new distributed model to efficiently deal with heterogeneous sensors and select accurate ones in a dynamic IoT environment. The model’s server uses and manages multiple gateways to respond to the request requirements. First, sensors were grouped into three semantic categories and several semantic sensor network types in order to define the space of interest. Second, each type’s sensors were clustered using the Whale-based Sensor Clustering (WhaleCLUST) algorithm according to the context properties. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was improved to search and select the most adequate sensor matching users’ requirements. Experimental results from real data sets demonstrate that our proposal outperforms state-of-the-art approaches in terms of accuracy (96%), execution time, quality of clustering, and scalability of clustering.