" Linguistic features of the words related to fashion in English and Uzbek languages"


Chapter II. Practical value of fashion words in pragmalinguistic branch



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Chapter II. Practical value of fashion words in pragmalinguistic branch

2.1. Bewilderment category is expressed mostly in speech act in Uzbek



A costume is the main reflection of the people's material culture. In the cultural heritage of the Tatar people, a special place belongs to national clothes, the traditional features of which were forming over many centuries. The study of Tatar language clothes names provides an opportunity for a complete representation of the people's way of life, their social and aesthetic taste. Accordingly, as one of the important elements of the people's material culture, clothing reflects its ethnicity and geographical environment. Clothes also contain the information about the belonging to this ethnos, about the culture of clothes wear, about life, age and marital status. Being the most volatile part of a single language system, the changes that occur in the life of society are reflected in vocabulary, particularly in the thematic group "clothes". This is due to the improvement of people and society material well-being as a whole; a gradual erasure of ethnic differences, distinctive features of peoples; the generalization of the people to the world culture; the development of fashion and the spread of fashionable standards and trends, etc. Due to the mentioned above, new words appear in the vocabulary of clothing, most often borrowings. The lexical composition of Uzbek language, in particular, the names of clothes in Uzbek language, were studied by many researchers and were reflected in a rather large number of scientific works. However, the field of the thematic group study chosen by us was more ethnographic, descriptive, and a complete linguistic analysis of the names of clothes was not studied sufficiently. Thus, the systematization of clothes names of Tatar language determines the relevance of our study with an attempt to produce a linguistic analysis of these units. A tall inventiveness of cutting edge forms of planning, making and utilizing dress, quick and steady changes, which are associated, in specific, with the globalization of mold within the clothing segment, the impact of linguistic (borrowing, transposition, etc.) and chronicled and social variables (worldwide contacts) also entail for changes and the appearance of modern names of dress in Tatar dialect. In this manner, a comprehensive ponder of clothing names gives a total thought around the national and cultural characteristics, the changes in culture, design patterns and almost the fabric riches of individuals. The choice of methods is determined by the specific nature of the material being studied and the purpose of this work. The main method of the study is a descriptive method, including such techniques as the study of factual material, generalization, classification; structural-morphological one, with the identification of lexical unit development models; and the method of semantic analysis and quantitative method were also used. The research interest in the lexicon that nominates and characterizes clothing is determined by the following circumstances: first of all, this layer of vocabulary is closely connected with the practical and spiritual life of a person, therefore, its study brings the researcher closer to the understanding of ethnos cultural and historical development features; secondly, the description of this lexicon in the form of a lexical-semantic field allows us to represent the lexical richness of the language fully. The materials for the think about were extricated from the informative word references of Uzbek dialect some information were gotten from etymological lexicons. In this study, the semantic field "clothes" is presented on the material of more than 200 lexical units of Uzbek language. Most of them are in an active use in our time, but there are obsolete words among them. The genetic layers of these lexemes are diverse: there is large number of Uzbek words among them, but there are also the borrowings from other languages. The micro field "Names of hats" includes 50 lexemes: a hood (a knitted hat), telpak(a veil), kepka (a cap), qalpoq (national women's headdress, beaded or pearled) kallapo’sh (a skullcap), sharf (a double scarf, i.e., the length of which is twice the width), do’ppi (a skullcap), hijob (a veil), ro’mol (a shawl), etc. These items include everyday women's clothing (khaki, kerchief, shawl) and men's, military (a helmet, a shishak, a field cap), religious (chadra, headscarf, turban), and other headgear. Naturally, some names have passed an obsolete layer of vocabulary. The microfield "Names of outerwear and their individual parts" consists of 110 lexemes. This microfield can be conditionally divided into several subgroups.

The study showed that the vocabulary of clothing in Uzbek language is a massive thematic group, which includes both denominations formed in antiquity and new lexemes, the appearance of which is associated with various factors. The lexical-semantic peculiarity of the thematic group under study consists in the presence of the semantic field "clothing" which includes four microfields. In order to form these lexemes, morphological, syntactic, morphological-syntactic, lexical-semantic methods of word formation are used. The results obtained during the study of Tatar language clothes vocabulary can be used to study other lexical and thematic groups during a regional dictionary compilation for the names of objects of material culture.



This study is the first attempt to study the names of Uzbek language clothes comprehensively in terms of complete linguistic analysis. In the process of work, the semantic composition of the studied thematic group was identified; the structure and the ways of clothes names word formation are defined; etymological layers are indicated. The study of the nomenclature of clothes in the Uzbek language revealed certain features and regularities in the system of lexical units. The analysis of the researched names adds to the information about the vocabulary, and it enriches the knowledge about the structure and the functioning of the language, about the material culture of Uzbek people. The study of clothing names is not final, it requires the continuation of research and vocabulary work with the involvement of historical sources and ethnic-cultural data. We investigate the identification and analysis of linguistic (lexico-grammatical) features that are characteristically used by articles of a specific year of publication. Linguistic features differ from shallow features because they represent authors’ lexico-grammatical writing styles and do not consider well-known bag-of-words model. Current literature focusses on shallow features rather than on linguistic features and existing methods for identifying linguistic features use well-known knowledge-structure based approaches. In contrast to this, we advance these existing methods by applying semantic clustering instead of using knowledge-structure based approaches. For evaluation purpose, a linguistic feature-based prediction model is built to enable an automated assignment of articles to their years of publication. In a case study, the proposed methodology is applied to articles of the Springer book series 'Communications in Computer and Information Science' published from 2009 to 2013. The Case study results show the feasibility of the proposed approach as compared to frequently used baseline. We investigate the occurrence of linguistic (lexico-grammatical) features in articles to show that they can be used for assigning articles to their years of publication. The Literature shows related approaches that can be used to assign articles to a pre-defined class. A domain- specific vocabulary (key words) is often used for this classification task. Different domains can be well distinguished by the distribution of specific key words as shown by existing bag-of-words approaches. Further, trend analysis and bibliometric research also show that key word distributions can be used to identify a time period. They trace topic changes over time within a domain. Thus, these approaches can estimate an article’s publication year based on the used topics. The approaches as mentioned above are based on shallow (bag-of-words) features. They are in contrast to linguistic features such as specific word class distributions that indicate authors’ lexico-grammatical writing styles. Literature also shows the possibilities of using linguistic features for classification. investigate the impact of linguistic features on different scientific disciplines and on different points in time.


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