Lexical Analysis Research Articles

ENRICHMENT OF STUDENTS' VOCABULARY WITH PHRASEOLOGICAL UNITS WITH INDEFINITE QUANTITATIVE MEANING

The article talks about the importance of enriching students' vocabulary, identifying unfamiliar words for lexical analysis, paying attention to reading and translating texts, and the multiple meanings of words. Use of innovative technologies: clusters, brainstorming, insert and other types.

Building Urban Resilience through Mega-Events: A Systematic Review using Text Mining and Natural Language Processing (NLP)

This research aims to explore the link between urban resilience and urban mega-events and to better understand how effective planning, sustainable development, and social capital can be used to enhance urban resilience. The research will seek to explore how urban mega-events can be planned in ways that not only explode economic impacts but also promote strategies for enhancing resilience in cities. To investigate the relationship between urban resilience and mega-events, a systematic review of the existing literature (2500 articles) was carried out. To investigate the relationship between urban resilience and mega-events, we conducted a systematic review of 2500 articles, but we acknowledge the limitations of qualitatively reviewing such a large number of publications. Therefore, we differentiated between keyword analysis and systematic literature analysis for identifying success factors and good practices. After that, eleven articles on different aspects of urban resilience and mega-events were analyzed using lexical analysis (text mining) to measure and quantify the sentiment of the articles. We are conscious of the fact that 11 articles are not enough for the corpus analyzed, but we have tried to make a sample and a selection according to the theme, the keywords, and the most cited in the bibliometric search so that this selection is as representative as possible. A hierarchical analysis was also used to group the articles into comparable groups. The results of this analysis provided a better understanding of common views on urban resilience, the implications of mega-events on urban areas, and ways to improve the resilience of cities. According to the findings, adequate organization and action planning are essential for the successful development of cities hosting mega-events. In particular, the implementation of sustainability initiatives is imperative to ensure long-term resilience. In conclusion, future research must focus on the current understanding of mega-events and their influence on urban resilience and look at their long-term impacts. It should be conducted in different contexts, taking into account the various aspects of equity involved in these events.

EXPLORING LEXICAL COMPLEXITY IN SCIENTIFIC WRITING: A CORPUS-BASED STUDY ACROSS DISCIPLINES

This study examines the lexical complexity of scientific writing. It specifically focuses on the degree of lexical density and lexical diversity in the results and discussion sections of research articles. Using a qualitative approach with quantification to back it up, this study scrutinized 60 results and discussion sections of research articles written by Tunisian linguistics and engineering scholars. The analysis was conducted using the lexical complexity analyzer developed by Lu (2010). Moreover, descriptive analysis and the independent T-test were conducted to ascertain the statistical distinctions between the discussion and results sections of linguistics and engineering disciplines. The findings suggest that engineering scholars wrote in a more concise and information-dense style, with a greater lexical density, while linguistics scholars used a broader range of linguistic forms, resulting in more diverse and richer expressions. The differences in writing style can be attributed to the nature of the disciplines and the types of research conducted within each field. The results obtained from this study may offer valuable implications for English for Academic Purposes (EAP) writing instructions.

ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ СЛЕНГИЗМОВ В СФЕРЕ ВОЕННОЙ АВИАЦИИ

The article is devoted to the sociolinguistic study of slang in the field of military aviation. The relevance of the study is determined by the interest in issues related to the theoretical study of slangisms and their use in the language of military aviation. The purpose of the study is to study the distinctive features of slangisms in the field of military aviation in the lexical and semantic aspect.The research material was slangisms denoting the names of various aircraft, words and expressions that are used to designate certain objects, concepts or actions. As a result of the study: it has been proven that slang is a complex linguistic formation that reflects in the language the linguistic, sociological and cultural characteristics of an individual, manifested in the verbalization of his speech. A thematic classification of slang expressions is presented, based on their lexical and semantic analysis, conclusions are drawn about the peculiarities of the mentality of military aviation specialists.

TRANSLATION PROBLEMS OF ENGLISH LEGAL DISCOURSE

When dealing with legal texts, it is necessary to take into account not only the typical basic features of Uzbek and British legal arguments, but also the existing differences in the legal systems of each country. When translating from one language to another, it is important to properly convey the content of legal documents. In order to identify the typical basic features of English legal vocabulary and to provide a methodology for solving the problems that arise when translating legal texts, the authors study syntactic analysis, lexical analysis, comparative translation and comparative translation. applying the method. The materials studied include specific lexemes (commonly used words, jargon, jargon, Latin words, abbreviations, and

Лексико-стилистический анализ рекламных текстов через призму философии Эриха Фромма («Иметь или Быть?») (на примере постов из официального телеграм-канала «Росмолодежь»)

<p>This article is dedicated to the lexical and stylistic analysis of advertising texts published in the official Telegram channel of Federal Agency for Youth Affairs («Росмолодежь», hereafter Rosmolodezh), in which Erich Fromm's philosophy is traced. The author identifies the category of advertising texts with such telegram posts that contain advertisements of Rosmolodezh’s projects and elements of social advertising. The author analyzes the lexical and stylistic techniques used by writers who create texts for the social network Telegram to influence the target audience (young people of Russia) through the Fromm's ideas «To Have or to Be?». As a result of the study, the author of the article identifies the main linguistic features used by writers in texts to attract readers’ attention in the advertising message.</p>

A Glimpse of the Semantic Structure of the Bulgarian Preposition na

This paper demonstrates the applicability of a cognitive lexical semantic analysis to some of the meanings of the highly polysemous Bulgarian preposition na. It proposes an account of the various senses of na as a radial (conceptual) category with a prototypical sense and various extensions referred to as lexical concepts in the Principled Polysemy Approach developed by Tyler and Evans. Similarly, it is argued that, in addition to the spatio-geometric parameters, the core spatial lexical concept of the Bulgarian na includes also functional information from which non-spatial meanings such as ‘active state’ derive.

Do Sitcom Conversations Fully Depict Those in Natural Settings: A Corpus-Based Lexical Analysis

An increasing number of studies in pragmatics, second language acquisition, and related fields have opted to use sitcom conversations as a substitute for natural conversations in their analyses. However, few studies have critically examined the validity of this substitution. Taking this into consideration, the present study aims to examine the lexical similarities and differences between sitcom and natural conversations by utilizing the Friends Corpus and the Santa Barbara Corpus of Spoken American English as samples under a synthesized analytic framework of six lexical categories that have been frequently examined in previous research. The findings indicate that there are significant differences between sitcom and natural conversations at the lexical level, particularly in terms of word lengths, keywords, and the use of discourse markers, personal pronouns, vocatives, and religious words. While sitcom conversations tend to be more concise, interactive, evaluative, and involving, natural conversations provide more explanations for their speech acts and refer to their parties who are not present in the conversations. Additionally, sitcom conversations use more intensifiers and vocatives while using fewer tentative modals, expletives, and religious words. Based on these results, it can be concluded that sitcom conversations do not fully depict the conversations in sitcoms, and thus substituting natural conversations with those in sitcoms should be approached with caution in language teaching and research. This study provides insight into the differences in lexical patterns between two types of conversations, and highlights the importance of using natural conversations as a basis for language teaching and research.

드라마 대사의 어휘 계량을 통한 교사-학생 관계의 변화 연구

This paper aims to explore the alteration of teacher-student relationships in youth dramas aired from 1991 to 2012, through the transcription of dialogues and quantitative lexical analysis. Selecting one drama per decade from the 1990s to the 2010s, the study employs morphological analysis and the weighted log- odds ratio to extract key words, categorized into nouns, verbs, adjectives, and sentence-closing ending. By ranking the extracted keywords by their centrality and selecting those of significance, the study examines how the dynamics between teachers and students have changed, discussing these changes in the context of actual drama dialogues. This paper is significant for its quantitative approach to drama dialogues, previously limited to socio-cultural interpretations based on a limited selection of works, offering a diachronic perspective on the shifting dynamics of teacher-student relationships. Dramas, reflecting the thoughts of their times, serve as a suitable medium for studying generational shifts, yet the extensive volume of material has hindered comprehensive research. This study anticipates future holistic approaches to drama analysis, enabling meaningful exploration of cultural and educational shifts over time.

Manipulation of lexical choice aspects in the creation of stereotypes and ideas in Russian propaganda

The aim of the research is to analyse the mechanisms of manipulation of lexical choice aspects in the creation of mass stereotypes and ideas in Russian propaganda (based on examples of the analysis of Russian mass media and blogs). The research employed the methods of quantitative, comparative, and statistical analysis. In the course of the study, results were obtained in the form of a count of lexical units used in five sources of Russian propaganda and an assessment of their meaning. The results give reason to draw a conclusion about the use of certain lexical choices (euphemisms, emotionally charged vocabulary, slogans, hate speech, historical myths and falsifications) by Russian propaganda to redefine military realities and justify the war crimes of the Russian occupation army. The academic novelty of the study is the selected various academic sources to illustrate the imperial thinking of Russian mass media correspondents. Prospects. Further research may diversify the materials for the lexical analysis of the mechanisms of Russian propaganda in mass media.

Corporate news disclosure on intangible assets during the COVID-19 crisis in pharmaceutical companies

Purpose: This study explores corporate news communication about intangible assets during the COVID-19 crisis in the largest global pharmaceutical companies. Methodology/approach: Computerised lexical content analysis was performed on 297 articles (texts) from 34 companies, amounting to 280,246 words. We generated a bottom-up clustering of the keywords, titles and abstracts. The qualitative data were obtained from the ProQuest textual database by Clarivate. Findings: The research demonstrates that the biggest global pharmaceutical companies focused intensively on intangible assets during the crisis. They disclosed information on three main intangibles: (1) brand, (2) patent and (3) license, covering 78.17% of the entire corpus text. Research limitations: The study limitations include the fact that the sample concerns only the biggest pharmaceutical companies that met our criteria. Further research could cover small and medium-sized companies and other industries. Finally, further analysis could combine quantitative and qualitative methods within the same research. Originality/value: The research article contributes to the current literature on intangible asset narratives, showing how the biggest pharmaceutical companies tend to achieve a competitive advantage, stay successful during a crisis and address messages to their key stakeholders. Considering the high risks and existing uncertainties, these messages could be of the utmost importance.

Глокальное пространство в Твиттер-коммуникации на испанглийском языке

The study of linguistic phenomena in media texts based on code-switching and code-mixing is a pressing issue, since their linguistic level reflects global processes of the multipolar world development. In particular, it results in post-standard modern languages and translingual idioms where language contact occurs. The article aims at determining the Spanglish language glocal space continuum at the lexical, semantic and grammatical levels. The material is based on tweets by the American satirist Rachel Figueroa, writing under the pseudonym Miguel Bloombito, for 2017–2022, selected using the continuous sampling method. A corpus of 1073 tweets was compiled and studied using morphological, syntactic, lexical and semantic analysis followed by statistical processing and mapping. The result is the identification of four modus categories that express meanings corresponding to glocal space. Methods for transmitting these meanings at the lexical, semantic and grammatical levels in Spanglish have been identified as well. Thus, it has been established that this translingual idiom boasts a full-fledged system of units and levels, which effectively conveys the meanings of all modus categories under consideration. In addition, data mapping allows us to conclude that Spanglish effectively performs communication tasks both within the same locale and between different locales. Finally, the study does not only empirically prove the validity of one of the hypotheses regarding the glocal space infinity, including its linguistic representation, but also demonstrates that modern language contact models correspond not to geography, but to the logistics of communication flows between various glocalized locales determined by geostrategic interests.

Transmission of direct speech of characters in the Yakut heroic epic Olonkho

The relevance of the research is determined by the fact that the study of the ways of introducing direct speech of the characters in the Yakut heroic epic would allow us to identify characteristic formulas, representativeness of the style, peculiarities of local traditions, stability or changes in time, originality of textological techniques in fixing olonkho, etc., which is important for understanding the originality of the poetics of the folklore text. The aim of the work is to identify the peculiarities of the transmission of the direct speech of the characters in olonkho. To achieve this goal, the following tasks were set: to define direct speech as an element of Olonkho narrative; to study the structure and lexical features of the introduction of direct speech by characters in Olonkho; to characterise characters in formulaic constructions that precede direct speech. Structural, lexical analysis, comparative method, system analysis of Yakut epic poetics were used. It is found that the presentation of direct speech has its own structure, consisting mainly of constructions with verbs of speech, common places, typical expressions, which can be before direct speech, within direct speech and after direct speech. The Olonkho mainly use constructions before and after direct speech. We have discovered an abundance of epic formulae, verbs that characterise the speech and singing of the heroes. In addition, there are sometimes verbs not related to 'speaking' and constructions without a verb. The dialogues of the Olonkho characters by D.A. Tomskaya from the Verkhoyansk region are characterised by simplified repetitions of a single verb. In some cases, while recording the text, the collectors were able to introduce sentences of their own, in which the name of the character and his action are indicated. It turned out that the formulaic constructions that precede direct speech contain character descriptions: first of all, this applies to the abasy bogatyr, female images, shamans, shamanesses, a child, zoomorphic images.

Naming of a female person in the explanatory dictionary of the Russian language edited by D. N. Ushakov (1935-1940)

The object of the study was the lexical material of the first volume of the «Explanatory dictionary of the Russian language» edited by D. N. Ushakov. The purpose of the study was to conduct a comprehensive analysis of nouns naming a female person. The results of the study will allow in the future to identify the features and trends in the ways of naming female persons, the statics and dynamics of their use in speech from the point of view of stylistic norms, as well as to determine their status in the Russian literary language. As a result of the semantic, stylistic, etymological, comparative lexical analysis of nouns naming a female person conclusions were drawn: there are 15 lexical and semantic groups of nouns naming a female person by profession, nationality /nationality, place of residence, religious beliefs, title etc. were identified. It was found that a large number of obsolete words were included in the dictionary. A special place is occupied by dialectal and colloquial names of women. Etymological analysis showed that most of the names of female persons are of native Russian origin, formed in a word-formation way using suffixes, partly in a metaphorical way. Some of the words are borrowed entirely from French, Latin, etc. Russian languages, the other part has a borrowed root, but the word itself is formed in the Russian language with the help of Russian suffixes. It is argued that some of the nouns naming a female person by profession, position, occupation are not recorded in modern explanatory dictionaries because of their status in the SRL - «outdated» or they are abnormal (dialectal, colloquial).

A Comparative Lexical Analysis of Kazakh, Russian and English Children’s Folklore

Occupying a special position in the oral folk art of any nation, children’s folklore is a complex field, which interrelates two areas: folklore for children and folklore created by children, learned from adults, and passed on from some children to other children. Human world and values are reflected in folklore - thus the ethnographic study of children’s folklore contributes to the understanding of the specifics of various cultures, and children’s participation in them. The purpose of the study is to describe children’s folklore in the Kazakh, Russian, and English languages from the linguistic and cultural comparative perspectives. The importance of identifying the lexical and phraseological features of different genres of children’s folklore and describing their common and culturally marked characteristics lies in the fact that despite the availability of ethnographic studies of children’s folklore in some cultures, there doesn’t exist a single research on cross-cultural comparative perspectives of various genres of children’s folklore. The study employed analytical descriptive, and comparative methods. The research data were collected through the online sociolinguistic surveys parallelly conducted in the Republic of Kazakhstan and the Russian Federation. Texts of children’s folklore in English were taken from the collections Nursery Rhymes and Mother Goose’s Songs . The amount of research data made nearly 2000 Kazakh, Russian and English children’s folklore texts. The study revealed that the genre variety of children’s folklore leaves an imprint on the language of each genre. The lexical and phraseological analysis of various genres of children’s folklore demonstrated an active use of neologisms, transrational language and personal names. Children’s folklore is characterized not only by genre and intragenre dynamics, but also by historical changes.

Information Extraction and Knowledge Map Construction based on Natural Language Processing

As a key branch of artificial intelligence, Natural Language Processing (NLP) focuses on making machines understand and generate human language. This paper introduces the basic tasks of NLP, such as lexical analysis, syntactic analysis and semantic understanding, and discusses the cutting-edge technologies such as word embedding. In the aspect of information extraction, this paper deeply discusses the methods of named entity recognition, relationship extraction and event extraction, and points out the challenges in dealing with complex texts. Finally, the paper focuses on the construction of knowledge map, expounds the complete process from data collection to entity identification, relationship extraction, graph construction and query, and emphasizes the core position of graph query in the application of knowledge map. On the whole, this paper provides a comprehensive perspective for understanding NLP, information extraction and knowledge map construction, and points out the importance and future development direction of these technologies in intelligent systems.

Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data

BackgroundLaboratory data can provide great value to support research aimed at reducing the incidence, prolonging survival and enhancing outcomes of cancer. Data is characterized by the information it carries and the format it holds. Data captured in Alberta’s biomarker laboratory repository is free text, cluttered and rouge. Such data format limits its utility and prohibits broader adoption and research development. Text analysis for information extraction of unstructured data can change this and lead to more complete analyses. Previous work on extracting relevant information from free text, unstructured data employed Natural Language Processing (NLP), Machine Learning (ML), rule-based Information Extraction (IE) methods, or a hybrid combination between them.MethodsIn our study, text analysis was performed on Alberta Precision Laboratories data which consisted of 95,854 entries from the Southern Alberta Dataset (SAD) and 6944 entries from the Northern Alberta Dataset (NAD). The data covers all of Alberta and is completely population-based. Our proposed framework is built around rule-based IE methods. It incorporates topics such as Syntax and Lexical analyses to achieve deterministic extraction of data from biomarker laboratory data (i.e., Epidermal Growth Factor Receptor (EGFR) test results). Lexical analysis compromises of data cleaning and pre-processing, Rich Text Format text conversion into readable plain text format, and normalization and tokenization of text. The framework then passes the text into the Syntax analysis stage which includes the rule-based method of extracting relevant data. Rule-based patterns of the test result are identified, and a Context Free Grammar then generates the rules of information extraction. Finally, the results are linked with the Alberta Cancer Registry to support real-world cancer research studies.ResultsOf the original 5512 entries in the SAD dataset and 5017 entries in the NAD dataset which were filtered for EGFR, the framework yielded 5129 and 3388 extracted EGFR test results from the SAD and NAD datasets, respectively. An accuracy of 97.5% was achieved on a random sample of 362 tests.ConclusionsWe presented a text analysis framework to extract specific information from unstructured clinical data. Our proposed framework has shown that it can successfully extract relevant information from EGFR test results.

Exploring the Association Between Textual Parameters and Psychological and Cognitive Factors.

Textual data analysis has become a popular method for examining complex human behavior in various fields, including psychology, psychiatry, sociology, computer science, data mining, forensic sciences, and communication studies. However, identifying the most relevant textual parameters for analyzing complex behavior is still a challenge. This paper aims to explore potential textual parameters that could be useful in analyzing behavior through complex textual data. Furthermore, we have examined the randomly generated text based on different textual parameters. To achieve this goal, we conducted a comprehensive review of the literature on textual data analysis and identified several potential topics that could be relevant, such as sentiment analysis, discourse analysis, lexical analysis, and syntactic analysis. We discuss the theoretical background and practical implications of each parameter and provide examples of how they have been used in previous research. Furthermore, we highlight the importance of considering the context in which these parameters are applied and the need for interdisciplinary collaboration to gain a deeper understanding of complex behavior through textual data analysis. Furthermore, we have provided Python code in the Supplementary Materials to facilitate a comprehensive analysis of such behaviors. In addition, to generate the text for analysis, we utilized ChatGPT 3.5 Turbo by requesting it to generate a random text of 1000 words divided into five paragraphs. Afterwards, we applied the provided Python code to analyze the randomly generated text. Overall, this paper provides a foundation for researchers to identify relevant textual parameters to analyze complex human behavior in their respective fields such as linguistics, sociology, psychiatry, and psychology.

Metaphorical nominations of national leaders of the past as a phenomenon of actual political communication

The article is devoted to the analysis of the metaphorical nomination of the subject as an instrument of deep-datified mediatization of a political incident of a special nature - the death/departure from active politics of a political leader on a national scale. The theoretical basis is the theory of deep mediatization, the cognitive theory of metaphor and the sociology of memory. The authors prove that the analysis of the metaphorical nominations of outstanding statesmen who left this world makes it possible to identify the public's attitude to the current state of political problematization and the structural profile of current political conflicts. Media texts and user-generated content in foreign English-language media were selected as empirical material for analysis. The resulting dataset is analyzed on the basis of the theory of metaphor in political discourse. The article shows that the death/departure from active politics of a political leader of the distant or relatively close past acts as a significant information event that generates the actualization of the political discursive field in a datatized online environment. English-language online media or online versions of traditional media were selected by the monitoring method in the system Semanticforce.ai : Associated Press, Bloomberg News, Reuters for the period 08.30.2022 ‒ 09.10.2022. A total of 12320 texts were taken into account. By means of lexical and semantic analysis, the nominations were selected from the texts and their classification into lexical and thematic groups was carried out. As a result of the study, it is shown that the death/departure from active politics of a political leader of the distant or relatively close past acts as a significant information event that generates the actualization of the political discursive field in a datatized online environment. - English-speaking online media assess the personality of Mikhail Gorbachev in a generally positive way: one of a kind, democrat, peacemaker, etc. - The thematic group of lexemes with the meaning of paradoxicity and inconsistency in English-speaking media is one of the most representative in the analyzed media discourse. - The paradoxical nature of personality assessment is linked to the counter-predictive assessment of Mikhail Gorbachev's activities during his presidency in European and Russian politics.

Does the Name Matter? Ways of Conducting Communication of Public Relations Agencies with the Public on the Basis of Quantitative-Corpus Research on Language

Abstract The current article presents the results of a study conducted using the quantitative-corpus analysis of discourse (CADS) based on the theory of social constructivism and the linguistic picture of the world (henceforward LPW). The research examined two text corpora, constructed from available self-presentation texts posted on 415 public relations (PR) agency websites in Poland (this is the largest such study in the country). K1 corpus, where the agency’s name is aimed directly at the communication/PR area, and K2 corpus, where there is no such link in the company name. In the course of the analysis, the authors focus on reconstructing the agency’s self-description and self-presentation (frequency and cross-section through the lexical structure of the corpora) in the context of the communication and demographic profile of the studied PR agencies. The lexical analysis of the corpora also made it possible to identify elements that—in the eyes of market practitioners—are considered essential to professional PR, and thus form the basis of the PR industry’s professional identity.