Classification Of Languages Research Articles

Efficient Indian sign language recognition and classification using enhanced machine learning approach

Efficient Indian sign language recognition and classification using enhanced machine learning approach

American sign language classification using deep learning

American sign language classification using deep learning

American sign language classification using deep learning

American sign language classification using deep learning

Enhancing Pre-Service EFL Teachers' Teaching Performance Through Action Research

Action research supports and empowers pre-service teachers as they plan lessons, act in the practicum, observe, and reflect on their teaching experiences. This study presents a professional development program based on action research to provide pre-service teachers with effective teaching skills in the EFL classroom and improve their students' language performance. The researcher implemented the training program for twelve male EFL majors enrolled in their practicum using a mixed-methods approach. By incorporating both individual and group experiences, action research improved pre-service teachers' understanding of methodology, encouraged reflection on their beliefs, tacit knowledge, and teaching practice, and assisted in the development of their teaching and learning theories. The findings show that pre-service teachers' performance improved significantly during and after receiving training. Additionally, there was substantial improvement in the students' overall language performance as well as their performance in each language category (vocabulary, grammar, listening, reading, and writing). It is concluded that action research fostered the cognitive evolution of these pre-service teachers and encouraged their synthesis of teaching theory and practice. These benefits of action research mark the beginning of a journey toward becoming a professional educator who can enhance both teaching practice and student outcomes.

The Status of English in the European Union after Brexit

The aims of the article are to analyse the legal status of English after Brexit and present possible scenarios for this language in the post-Brexit Union. Firstly, the article highlights the status of languages in the EU and depicts three major categories of languages in the EU: Treaty languages, official and working languages. Secondly, the article analyses two possible scenarios for retaining the official and working status of English through notifications by Ireland and Malta. Thirdly, the paper focuses on the third scenario of introducing English as a single EU official language. Finally, the article outlines the status quo of English in the EU after UK’s withdrawal from the EU. It concludes that English is likely to remain the official and working language of the EU as a result of proper notification made by either Ireland or Malta.

On the role of pauses – a qualitative and quantitative analysis of selected political speeches in the European Parliament

This paper presents an analysis of speech pauses occurring in selected political speeches, with a focus on both filled and silent types. The paper aims to highlight differences among pause categories in spoken language and assess potential gender differences. By analyzing speeches from male and female speakers in specific syntactic contexts, the paper reveals limited variations in fundamental frequency and pause duration. While certain subcategories exhibit slight differences in frequency, consistent patterns are lacking. Findings indicate that filled, hesitation, politeness, and perturbation pauses tend to be longer, whereas specification and personal stance pauses tend to have lower frequencies. Enumeration, opposition, and segmenting pauses strategically support a speaker's point, aligned with sentence structure. Investigating fundamental frequency trends before pauses demonstrates that a decrease in frequency signifies unit culmination, while an increase suggests non-final positions within units. The paper concludes that disparities exist among pause types, though differences between male and female speakers are generally minor. This emphasizes the need to consider multiple factors, including duration, frequency, and syntactic context, for comprehensive pause definitions. Overall, the paper provides insight into speech pause attributes, variations, and their significance in conveying meaning, thus enriching our understanding of speech patterns and communication strategies.

DIRECTIONAL MOTION VERB CONSTRUCTION IN MADURESE LANGUAGE: A STUDY OF LANGUAGE TYPOLOGY

Semantically, the construction of directional motion verbs has two significant points: manner of motion, which refers to the way the motion is performed, and path, which conveys the directional meaning. In the context of verbal construction with directional motion, the path component can be constructed through directional verbs or prepositional phrases as markers of the goal. Based on these patterns, Talmy (1975) and Slobin (2006) classified languages into three frameworks: verb-framed languages, satellite-framed languages, and equipollent-framed languages. This research aims to describe the construction of direct motion verb in Madurese language and critically analyze the position of Madurese as an Austronesian language based on the classification proposed by Talmy and Slobin. Using a descriptive-qualitative approach, this study collects primary data from native Madurese speakers, and the secondary data from article journal related to Madurese language as comparison. In conclusion, Madurese language can be categorized as a verb-framed language overall. Based on the analysis, there are several directional verbs in Madurese that can simultaneously carry meanings consistent with prepositional phrases, although in other sentence contexts, they may exhibit different semantic and syntactic patterns. Furthermore, Madurese tends to fall into the verb-framed language category as it lacks a resultative-adjective pattern, and its directional verbs are not main verbs but rather open-class adjuncts.

A dialogical approach in an educational conversation on the topic of ethnicity and identity

This article presents a look at ethnicity from the point of view of some important sociological and socioanthropological theories and based on empirical data. One of these theories is Frederick Barth's theory of ethnicity. Everyday life communication and the practice of social interaction are the subjects of the study of ethnomethodology by Harold Garfinkel, and it is an important topic in the dialogic theory of Mikhail Bakhtin. In my study of ethnicity, these approaches, since it is in them that communication is given a primary role, are central and are also reflected in the research method - the method of conversational analysis. Two empirical examples from a rural hospital in Kazakhstan show speech genres in which the ethnic category becomes an integral part of the action and an important means of communication. In this case, the interlocutors resort to the ethnic category in order to clarify the identity of the person they are talking about. In such moments of social interaction, ethnicity is important for interlocutors not in the sense of collective group identity, which divides people into groups, covering up a person's personality, but as information necessary for recognizing and clarifying a specific personality. We are not talking about family, friendship or other close relationships in which the ethnic difference has either long been forgotten or did not matter at all, but about relationships where the interlocutors do not have sufficient information about each other. In this sense, ethnic categories can be compared to a certain extent with the name of a person. The author believes that the use of ethnic categories in everyday language speaks about the similarity of people, about their common speech practices, which are often dominated by stereotypical knowledge, about their common socialization, communication environment, worldview that developed at the beginning of the formation of the (multinational) Soviet state.

Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

Stigma and bias related to race and other minoritized statuses may underlie disparities in pregnancy and birth outcomes. One emerging method to identify bias is the study of stigmatizing language in the electronic health record. The objective of our study was to develop automated natural language processing (NLP) methods to identify two types of stigmatizing language: marginalizing language and its complement, power/privilege language, accurately and automatically in labor and birth notes. We analyzed notes for all birthing people > 20 weeks' gestation admitted for labor and birth at two hospitals during 2017. We then employed text preprocessing techniques, specifically using TF-IDF values as inputs, and tested machine learning classification algorithms to identify stigmatizing and power/privilege language in clinical notes. The algorithms assessed included Decision Trees, Random Forest, and Support Vector Machines. Additionally, we applied a feature importance evaluation method (InfoGain) to discern words that are highly correlated with these language categories. For marginalizing language, Decision Trees yielded the best classification with an F-score of 0.73. For power/privilege language, Support Vector Machines performed optimally, achieving an F-score of 0.91. These results demonstrate the effectiveness of the selected machine learning methods in classifying language categories in clinical notes. We identified well-performing machine learning methods to automatically detect stigmatizing language in clinical notes. To our knowledge, this is the first study to use NLP performance metrics to evaluate the performance of machine learning methods in discerning stigmatizing language. Future studies should delve deeper into refining and evaluating NLP methods, incorporating the latest algorithms rooted in deep learning.

Pragmatics of the Language of Law

Introduction. The starting point of the reasoning that makes up the content of this article is the proposition that law is, first of all, a text. The nature and structure of the legal text, as well as the possession of a specific set of words, determined its ability to influence in a special way the consciousness, psyche and behavior of a person. Here we are talking about the connection between the language of law and the phenomenon of NLP, i. e. neuro-linguistic programming. Theoretical Basis. Methods. This article used general scientific methods: analysis, synthesis, systematization. In addition, the author turned to linguistic research methods. The judgments and conclusions formulated in the article were based on the achievements of phenomenology, psychology and analytical philosophy. Results. The language of law belongs to the category of artificial languages. It is a means for positing what should be as a result of the will and consciousness of subjects participating in the formation and establishment of prohibitions and permissions in objective reality. The structure of the language of law and its composition are characterized by such features that allowed the author of the article to substantiate its relationship with the phenomenon of neuro-linguistic programming. Discussion and Conclusion. Based on the results of a study of the relationship between the language of law and the phenomenon of neuro-linguistic programming, it was concluded that the language of law, in comparison with other natural and artificial languages, is primarily characterized by such a property as pragmatics, i. e., a targeted, programmed influence on the psyche and human behavior in order to form a world of law that is most adequate to the value system of society and the individual.

Сопоставительная характеристика кубачинского и ицаринского идиомов даргинского ареала: фонетические данные

The paper aims to identify common and distinctive features in the phonetic system of the Kubachi language and the Itsari dialect of the Tsudakhar-Sirkhin language (the Dargin branch of the Nakh-Dagestanian languages). Based on extralinguistic observations, the Dargin languages were considered as a single language during the Soviet era, although they had many differences at all linguistic levels, including phonetics. They have a rich and complex system of both vowel and consonant systems. Meanwhile, the common properties and differences in the sound system of almost all Dargin lects remain unexplored, which complicates the problem of creating a final classification of Dargin languages and dialects. The paper presents a comparative analysis of the sound composition of the Kubachi and Itsari lects and the phonetic processes occurring in them. The scientific novelty of the study lies in the fact that a significant amount of new material on the phonetic level of the compared linguistic units has been introduced into scientific use. As a result of the study, the issues of formation and functioning of long vowels, pharyngealized and labialized sounds, geminate consonants, as well as the sound processes occurring in the Kubachi language and the Itsari dialect were investigated. The common features and differences in the compared lects were revealed, sound correspondences were determined, the principles of the stress position were investigated.

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AN ECOLINGUISTIC ANALYSIS OF SALIENCE IN THE CAMEROONIAN NEWSPAPER

Environmental communication plays a vital role in creating awareness about the importance of nature conservation, and actions needed and/or put in place to safeguard it. This research piece investigates discursive patterns that activate ecological salience in the Cameroonian newspaper. Analysis focused, firstly, on the identification and interpretation of pragma-linguistic entities marked with valorisation and conservation of the biophysical environment. The data comprised forty (40) newspaper articles selected from ten newspaper publishers in Cameroon. Salience-evoking elements in environmental texts were identified and interpreted using the ecolinguistic framework, specifically the model of deixis, postulated by Bang and Døør (1993). The descriptive statistical method (DSM) was used. This involved qualitative and quantitative analyses of the articles; starting with the identification, quantification and interpretation of linguistic and pragmatic entities in the texts. Findings revealed that the Cameroonian press tactfully used language categories depicting the ideals, relevance and conservation of the country’s ecosystems. Ecologically valorising markers found included adjectives, hedging, headlines and slogan, eco-dignifying metaphors and intertextuality (the evocation of texts relating to the beauty and conservation of nature). Generally, it was observed that the Cameroonian press used language strategically to project a positive image (importance) of her existing flora, fauna, reptiles and fish, and biosphere (water bosies, land and the atmosphere). Cognizant of the sustenance nature offers earthly life, it is prudent for the media to cover nature stories regularly, and in language forms that align with, and reinforce, global efforts to valorise, protect and conserve the ecosystem.

AUTOMATIC EVALUATION OF QUALITY OF EXAMS' QUESTIONS WRITTEN IN ARABIC LANGUAGE BASED ON BLOOM’S TAXONOMY: A SURVEY

Most countries of the world are making great efforts in educational reform processes, and they have established quality departments, which have played a major role in the education reform process in first world countries and also in some developing countries, as it is one of the main pillars of the new management model to keep pace with international and local changes. The studies in the field of Blooms taxonomy in Arabic Language is very rare. However, there is a number of rich different studies conducted in English language using Bloom taxonomy classification of questions. The written exams questions are the most important tool in use among the evaluation tools that teachers use in universities or schools, and that importance increases when the results of those exams indicate that there is a shortage or lack of production, or that there are shortcomings or weaknesses in the production. Previous studies dealing with research on types of teachers’ Questions and mainly the analysis of final exam questions, classroom questions or textbook questions. Also there is a number of studies have applied Bloom’s taxonomy to automatic text classification in English language. The materials being classified, features and classifiers used in these studies are summarized below

Discrimination in Munich Schools in the Guest Worker Regime: The Intersection of Language, Nationality and Gender

After the recruitment stop of guest workers in 1973, a high proportion of migrants lived in Munich and faced a separating, marginalizing schooling situation. Using an intersectionality approach, we show how migrant pupils were particularly marginalised by the overlapping social categories of language, nationality and gender. According to our empirical observations for the period from the 1970s to the 1980s, the segregation into nationally homogeneous dual-language classes reproduced a structure of social exclusion. Our findings illustrate how past schooling policies have doomed the educational and occupational opportunities of a generation of guest workers’ children. As some of the discriminatory grievances can still be seen in today’s neoliberal conjuncture of racism, the results shed new light on contemporary (Bavarian) school policies towards migrants.

Validity of a Physics E-Module Based on Creative Problem Solving Model Integrated With Renewable Energy

E-modules are one of the teaching materials that can support the goals of an independent curriculum because with e-modules students can learn easily, can be accessed anywhere and at any time. The CPS model can train students to be skilled and creative in solving problems. One of the characteristics that needs to be integrated in teaching materials is energy saving. The aim of the research is to produce e-modules that meet the criteria of being feasible, practical and effective in improving student learning outcomes. This e-module was developed through research and development using the EDR (Educational Design Research) model with the following stages: analysis and exploration, design and construction, and evaluation and reflection. The Physics E-Module was developed for Work and Energy material which was developed based on Creative Problem Solving steps. Then this e-module also contains information about renewable energy and several energy saving invitations to students. The physics e-module that was developed met the very valid criteria, with detailed scores: 87.5 for the content suitability category, 87.5 for the e-module presentation category, 95.45 for the graphics category, and 91.67 for the language category. Thus, the physics e-module received a very valid assessment for all validation categories.

To the Question of Correlation between the Categories of Evidentiality and Epistemological Modality

The article deals with the problem of interconnection and interaction of such linguistic phenomena as the categories of evidentiality and epistemic modality. In the article descriptive and comparative methods of the analysis are used. The categories of evidentiality and epistemic modality are intensively studied by
 Russian and foreign scientists. One of the first definitions of evidentiality belongs to a famous scientist R. Jakobson. Many Russian and foreign scientists study peculiarities of functioning of these categories in different languages, the forms of their presentation. There are many strategies of investigating the problem of correlation of the categories of evidentiality and epistemic modality and we came to the conclusion that these categories are so closely connected with each other that
 they shouldn’t be studied as separate linguistic phenomena.

Acid-suppressive drugs: A systematic review and network meta-analysis of their nocturnal acid-inhibitory effect.

Acid-suppressive drugs (ASDs) are widely used in many gastric acid-associated diseases. Nocturnal acid breakthrough has been a common problem of many ASDs, such as proton-pump inhibitors (PPIs) and H2 -receptor antagonists (H2RAs). Potassium-competitive acid blockers (P-CABs) are expected to solve this continuing conundrum. This article examined major ASDs and compared them with placebo in terms of nocturnal acid-inhibitory effects, using a network meta-analysis of randomized controlled trials (RCTs). To compare the effectiveness of major ASDs, a Bayesian network meta-analysis (NMA) was applied to process data extracted from RCTs. The plausible ranking for each regimen and some subgroups were assessed by surface under the cumulative ranking curves (SUCRA). Fifty-five RCTs were conducted with 2015 participants. In terms of nocturnal acid-inhibitory effects, the overall results showed that tegoprazan (SUCRA 91.8%) and vonoprazan (SUCRA 91.0%) had the best performance, followed by new PPIs (including tenatoprazole and ilaprazole) (SUCRA 76.6%), additional H2RAs once at bedtime (AHB) (SUCRA 61.3%), isomer PPIs (including esomeprazole and dexlansoprazole) (SUCRA 38.6%), revaprazan (SUCRA 34.7%), traditional PPIs (including omeprazole, rabeprazole, pantoprazole, lansoprazole) (SUCRA 32.6%), H2RAs (SUCRA 23.1%), and placebo (SUCRA 0.3%). In some subgroups, the nocturnal acid-inhibitory effect of vonoprazan or tegoprazan was better than most of the other regimens, even new PPIs and AHB. This is the first study to compare the effect of ASDs on inhibiting nocturnal acid breakthrough. Overall, in terms of nocturnal acid-inhibitory effect, vonoprazan and tegoprazan had an advantage against other regimens including H2RAs, isomer PPIs, traditional PPIs, AHB, and new PPIs. Even in some subgroups, such as language classification (English), types of study design (crossover-RCT), age (≤40 years), BMI (18.5-24.9 kg/m2 ), continent (Asia and North America), disease status (health), the duration of therapy (2 weeks), and time of administration (at daytime or at night-time), the nocturnal acid-inhibitory effect of vonoprazan or tegoprazan were better than most regimens, even AHB and new PPIs.

End-weight at its most dynamic

Abstract This contribution supports and extends the principle of end-weight, first formulated by Quirk et al. (1972) to describe the tendency of heavy constituents to appear late in a sentence. Developing this principle further, we argue that it favours the addition of (functionally non-neutral) morphological markers to sentence-final constituents, which are typically characterized by prosodic prominence. The markers we study are undergoing diachronic establishment or loss and are thus temporarily variable. They represent rather diverse categories in different West Germanic languages and varieties (English, Northern Low German, Frisian) and have been gathered from different periods. Examples include inflectional endings of nouns, adjectives, finite verbs and infinitives, pro-form uses of possessives and the adjective other, prepositional choices, the a-prefix and periphrastic doon ‘do’. We suggest that end-weight is scalar, with absolute sentence-final position producing the strongest effects.

Offensive language in user-generated comments in Lithuanian

Abstract The aim of the current research is to investigate the feasibility of identifying offensive language in Lithuanian by utilising the Simplified Offensive Language Taxonomy (SOLT). The key principle behind this taxonomy is its ability to complement existing offensive language ontologies and tagset systems, with the ultimate goal of integrating it into publicly accessible Linguistic Linked Open Data (LLOD) resources. The dataset used in the current study is a publicly available corpus of user-generated comments collected from a Lithuanian portal (Amilevičius et al. 2016). The study identified that offensive language predominantly focuses on collective derogatory language rather than individuals. The most common category of offensive language is related to physical and mental disabilities, followed by ideological offenses, xenophobic and sexist remarks, and less frequent categories like ageism, classism, homophobia, and religious discrimination. These results highlight the diverse range of offensive language online and underscore the need to combat discrimination and promote respectful discourse, particularly concerning marginalised groups.