Words Research Articles

Enhancing Signer-Independent Recognition of Isolated Sign Language through Advanced Deep Learning Techniques and Feature Fusion

Sign Language Recognition (SLR) systems are crucial bridges facilitating communication between deaf or hard-of-hearing individuals and the hearing world. Existing SLR technologies, while advancing, often grapple with challenges such as accurately capturing the dynamic and complex nature of sign language, which includes both manual and non-manual elements like facial expressions and body movements. These systems sometimes fall short in environments with different backgrounds or lighting conditions, hindering their practical applicability and robustness. This study introduces an innovative approach to isolated sign language word recognition using a novel deep learning model that combines the strengths of both residual three-dimensional (R3D) and temporally separated (R(2+1)D) convolutional blocks. The R3(2+1)D-SLR network model demonstrates a superior ability to capture the intricate spatial and temporal features crucial for accurate sign recognition. Our system combines data from the signer’s body, hands, and face, extracted using the R3(2+1)D-SLR model, and employs a Support Vector Machine (SVM) for classification. It demonstrates remarkable improvements in accuracy and robustness across various backgrounds by utilizing pose data over RGB data. With this pose-based approach, our proposed system achieved 94.52% and 98.53% test accuracy in signer-independent evaluations on the BosphorusSign22k-general and LSA64 datasets.

Sign Language Recognition by Image Processing

A prototype sign language interpreter that can converse in American Sign Language (ASL) is presented in this study. The visual stimulation of sign language aids in the development of speech and language. It promotes social contact, fosters the development of cognitive structures, and lessens harmful social behaviors. Early exposure to sign language supports language development in academic, social, and emotional domains. Building a user-hand gesture-only human-computer interface (HCI) is the foundation of the dependable paradigm. Using Python and OpenCV, hand gesture recognition is built using the theories of hand segmentation and the hand detection system. The training photos are labeled with different names based on what is in the database. A binary feature vector is created from each image. Convolutional neural networks (CNNs) and cameras are used to capture images from hand sign videos in real time, which are then used to carry out the feature extraction process. The algorithm generates output based on the projected maximum similarity between these features and the features of database photographs. With the aid of an application, this model provides adequate accuracy even in the absence of a constant or monochromatic background. The person's hand movements are captured on video with the camera; the video is subsequently processed and translated into text. The user hears the speech that has been transformed from the output. The suggested system recognizes letters, numbers, and certain common words in sign language. Raw photos and videos are transformed into corresponding text that can be read and comprehended by using image processing algorithms and neural networks to map the gesture to the right text in the training data. When paired with a sizable source database, this protocol will surely be highly beneficial for closing the communication gap between people who can talk and hear and those who cannot.

Regular planar monoidal languages

We introduce regular languages of morphisms in free monoidal categories, with their associated grammars and automata. These subsume the classical theory of regular languages of words and trees, but also open up a much wider class of languages of planar string diagrams. We give a pumping lemma for monoidal languages, generalizing the one for words and trees. We use the algebra of monoidal and cartesian restriction categories to investigate the properties of regular monoidal languages, and provide sufficient conditions for their recognizability by deterministic monoidal automata.

Neologisms and borrowings in media texts

INTRODUCTION. The use of neologisms in modern mass media reflects the active process of changing language and speech, the vocabulary reflects people’s desire for faster communication and accelerates the transformation of language rhythm and words, which requires studying the d ynamism of language based on neologisms. The purpose of the study is to determine the role of neologisms and borrowings in media texts in the modern period.MATERIALS AND METHODS. The research materials are the newspapers Argumenty i Fakty, Vedomosti, Izvestia, Kommersant, Komsomolskaya Pravda, Moskovsky Komsomolets, Nezavisimaya Gazeta, Rossiyskaya Gazeta, Expert and Forbes magazines). The methods of linguistic research are used, namely: collection, systematization and generalization, semantic analysis, contextual analysis, interpretative analysis, method of describing lexical innovations.RESULTS AND DISCUSSION. Neologisms are directly related to the modern active processes of changing the Russian language picture. Comprehension of the objects of the surrounding reality and the development of the nominated real and virtual objects, processes, phenomena are reflected with the help of neologisms that create a unique picture of the world for the Russian media space, which is reflected in oral and written speech in the era of digitalization (digitalization). It is difficult to answer the question of whether positive or negative trends manifest themselves with the entry of new words into the Russian language.CONCLUSION. There are five main theories that define the definition of the term “neologism”, and three reasons for the appearance of neologisms and borrowings in modern media texts: fashion, foreign influence and social need. It is proved that the processes of globalization and the development of technology contribute to the fact that the language is expanding due to the appearance of neologisms. It is the lexical composition of the Russian language that is characterized by such processes as the expansion and narrowing of the semantics of the word, which is reflected in the processes of neology.

THE CONCEPT “WOMAN” IN KAZAKH FOLK LYRICS

Our article deals with the concept of “woman” in Kazakh folk lyrics. A woman has a special place in Kazakh society. The lives of women who are the mentors of men and educators of children in life are different. A woman is a living being, the catalyst of the house. She is a dear mother, an honorable sister, a noble grandmother. Therefore, we think that the topic of women is one of the eternal topics. It is clear that the linguistic units that define the concept of “woman” are given in the national worldview in the work Babalar selo, which is taken as the object of our research. In addition, when the lexeme of a woman is a word, it is quite natural that it is connected with the equivalents of a woman as a role model, a woman who is loyal to love, and a woman as a mother. The main goal of our article is to define the expression of the concept of woman in the language of Kazakh folk lyrics. Explanations of the concept of woman were given from explanatory dictionaries of the Kazakh language, and its meaning was revealed. Frames showing the existence and life of the Kazakh people were analyzed. By making a conceptual analysis of the language Word of Ancestors, the theoretical significance of the study is to form an understanding of the concepts of woman-mother, woman-owner of life, wife-husband, woman-child founder in the Kazakh worldview. The theoretical results of the work can be used in courses such as Cognitive Linguistics, Ethnolinguistics, Linguistics, Text Linguistics. Also, it can be used as an auxiliary material in practical lessons on the subjects of Stylistics and language culture, literary text linguistic analysis.

Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language

Natural language is a type of language that human beings use to communicate with each other. However, it is very difficult to communicate with a machine-understandable language. Finding context meaning is challenging the activity of automatically identifying machine translation, indexing engines, and predicting neighbor words in natural language. Many researchers around the world investigated word-sense disambiguation in different languages, including the Afaan Oromo language, to solve this challenge. Nevertheless, the amount of effort for Afaan Oromo is very little in terms of finding context meaning and predicting neighbor words to solve the word ambiguity problem. Since the Afaan Oromo language is one of the languages developed in Ethiopia, it needs the latest technology to enhance communication and overcome ambiguity challenges. So far, this work aims to design and develop a vector space model for the Afaan Oromo language that can provide the application of word-sense disambiguation to increase the performance of information retrieval. In this work, the study has used the Afaan Oromo word embedding method to disambiguate a contextual meaning of words by applying the semisupervised technique. To conduct the study, 456,300 Afaan Oromo words were taken from different sources and preprocessed for experimentation by the Natural Language Toolkit and Anaconda tool. The K-means machine learning algorithm was used to cluster similar word vocabulary. Experimental results show that using word embedding for the proposed language’s corpus improves the performance of the system by a total accuracy of 98.89% and outperforms the existing similar systems.

Ergonyms of the thematic group “Educational institutions” of Naberezhnye Chelny

INTRODUCTION. At the present stage of studying proper names, a special place is given to urban ergonyms, which form the urban onomasticon. Ergonyms, being an integral part of the appearance of a modern city, reflect not only the lexical and grammatical systems of the language, but also represent scientific value as an additional source of information about the social, cultural and historical situation in a certain territory. The purpose of the study is to describe the ergonymic space of Naberezhnye Chelny, Republic of Tatarstan, which includes the names of educational institutions.MATERIALS AND METHODS. The research material is the modern names of educational institutions from the official website of the directory of organizations of the city of Nab erezhnye Chelny 2023. The factual material analysis is carried out based on the use of general li nguistic methods (structural and descriptive), as well as the use of elements of the synchronic method and nominative technique analysis.RESULTS AND DISCUSSION. The main technique for creating new ergonyms is symbolic nomination, which is expressed in nomination using metaphor and metonymy. The emergence of innovative ergonyms in the urban space of Naberezhnye Chelny is mainly associated with the appearance of names in the Tatar language, but with the presence of spellings of words dating back to the English language and Russian words in English transcription. The study of urban ergonoms is carried out in three aspects: analysis of the nominative appearance of a modern city, analysis of thematic groups of urban ergonyms and identification of the peculiarities of the functioning of ergonyms in the speech of modern citizens.CONCLUSION. The names of various children's and youth clubs serve as a certain attribute to attract the target audience. Basically, secondary educational institutions in the city of Naberezhnye Chelny are called by a certain number, but there are a number of specialized institutions that have a name in the Tatar language, indicating the essence of these schools. The city names of additional education institutions for school-aged children reflect Russian names, many of which remain from the Soviet past. Onimization is carried out using metaphorical components in order to expand the semantic structure of the word, its functionality, and the significance of ergonymic vocabulary in communication.

Weaker semantic priming effects with number words in the second language of math learning.

Bilinguals' exact number representations result from associations between language-independent Indo-Arabic digits ("5"), two verbal codes ("fünf" and "cinq") and a common, largely overlapping semantic representation. To compare the lexical and semantic access to number representations between two languages, we recruited a sample of balanced highly proficient German-French adult bilinguals. At school, those bilinguals learned mathematics in German for 6 years (LM1) and then switched to French (LM2) in 7th grade (12 years old) until 13th grade. After the brief presentation of primes (51 ms) consisting of Indo-Arabic digits or number words in German or French, an Indo-Arabic digits target had to be read in either German or French in an online study. Stimuli were numbers from 1 to 9, and we varied the absolute distance between primes and targets from 0 (i.e., 1-1) to 3 (1-4; as in Reynvoet et al., 2002). The priming distance effect (PDE) was used to measure the strength of numerical semantic association. We find comparable PDEs with Indo-Arabic digits and German number word primes, independently from the target naming language. However, we did not find a clear PDE with French number word primes, neither when naming targets in German, nor in French. The weaker PDE from LM2 compared to LM1 primes is interpreted as a weaker lexico-semantic association of LM2 number words. These results indicate a critical role of the LM1 and further emphasize the role of language in processing numbers. They might have important implications for designing bilingual school curricula. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Various Police Language Terms in Sumenep Police: Sociolinguistic Perspective

This research is a qualitative descriptive that aims to describe the terms of the variety of police languages ​​at Polres Sumenep. This research theoretically used a sociolinguistic approach with research focused on the forms and meanings of the language varieties used in the police domain, especially at the Sumenep Police Station. Data collection in this study was conversant and semuka conversations. The results of this study indicate that the variety of police languages ​​has (1) acronym forms such as abribda, abribtu, bharaka, bharada, iptu, (2) abbreviation forms such as AKBP, AKP, TKP, DPO, BAP. The words of the various languages ​​in this study are (1) not experiencing a shift in meaning, (2) a small portion experiencing a shift in meaning narrowing.

Brain potentials reveal reduced sensitivity to negative content during second language production

Abstract Prior research suggests that bilinguals show reduced sensitivity to negative content when operating in the second language (L2). The available evidence, however, is limited to language comprehension. We tested the production of emotional words in Polish (L1)–English (L2) bilinguals in two EEG studies that manipulated emotional cueing. In Experiment 1 (neutral context), white or black circles indicated whether participants should read aloud (shadow) or translate a subsequently presented word. N400 amplitudes were selectively reduced for negative L2 words regardless of the task. In Experiment 2 (emotional context), we used black or white emojis, either sad or neutral, as cues. The previous interaction between word valence and language of operation vanished, but late positive potential amplitudes elicited by negative words were larger for translation from L2 to L1 (i.e., production in Polish) than L1 to L2. These results validate and extend to production previous findings of attenuated emotional response in L2 comprehension.

Semantic Flowers for Good-for-Games and Deterministic Automata

We present an innovative approach for capturing the complexity of ω-regular languages using the concept of flowers. This semantic tool combines two syntax-based definitions, namely the Mostowski hierarchy of word languages and syntactic flowers. The former is based on deterministic parity automata with a limited number of priorities, while the latter simplifies deterministic parity automata by reducing the number of priorities used, without altering their structure. Synthesising these two approaches yields a semantic concept of flowers, which offers a more effective way of dealing with the complexity of ω-regular languages. This letter provides a comprehensive definition of semantic flowers and shows that it captures the complexity of ω-regular languages. We also show that this natural concept yields simple proofs of the expressive power of good-for-games automata.

A Comparative Study of the English Translations of Four Selected Surahs of Qur’an

The main objective of the research is to gain a greater comprehension of Allah's message, which He has revealed in the form of the Holy Quran. The purpose of this research is to investigate which translation has succeeded in presenting the most accurate interpretation of the meaning of the verses. In this research, three different translations of 4 selected Surahs of the Qur'an, also known as the four Quls, are analyzed by using a comparative approach. The selected translators are Abdullah Yusuf Ali, Muhammad Marmaduke Pickthall, and Muhammad Asad. Qualitative and quantitative methodologies have been employed. The verses are first evaluated qualitatively. To be more accurate, the total amount of words in every translation is compared to the total number of words in the target language's surah. The study shows that Pickthall's translation is "formal correspondences," while M. Asad's translation is "dynamic." The translation of Yusuf Ali follows both paths. In the case of Surah Ikhlas and Surah Falaq, it is more "formal", and in the case of the other two surahs, it is "dynamic translation".

The Origin of the Scythians and the Identity of the Scythians and the Alans in John Tzetzes’ Work

Much has been said about the origin of the Scythians, but no academician or researcher has ever been able to provide evidence to reveal the identity of the Scythians. Today, the prevailing view about the origin of the Scythians is the view that they are of Indo-European origin. And this argument is supported by Western academics. No written sources say that the Scythians were of Indo-European origin or spoke an Indo-European language. The only thing that makes those a community of Indo-European origin is the arbitrary explanations of the personal names belonging to their language in Indo-European languages and the kinship relationship established between the Ossetians and Alans. No consistent explanation of the words of the Scythian language in Indo-European languages has been provided to date. However, very recently, in the light of written sources, more than one piece of evidence has been presented to shed light on the origins of the Scythians. This article aims to reveal the true identity of the Scythians and Alans in the work of the 12th-century Byzantine writer John Tzetzes in the ligt of these new evidences.

Nativazation of Hausa Loanwords in Kanuri through Deglottalization and Sonorization

The paper attempts to identify and study those linguistic items borrowed from Hausa to Kanuri language with special attentions to the deglottalization and sonorization processes employed in incorporating the loanwords. Borrowing is a phenomenon which is as old as human social, economic, and administrative contact. When a contact is established between two or more different linguistic communities, there is the tendency for linguistic borrowing to take place. Therefore, despite the fact that Hausa belongs to Chadic family and Kanuri belongs to Nilo-Sahara, there exists linguistic borrowing between them. The paper focuses on the deglottalization and sonorization in nativazation of the borrowed words. The research sought data from two sources. These sources are primary and secondary. The primary source includes unobtrusive observation when discourse is taking place in Kanuri language. Similarly, the researcher’s intuition plays significant role in identifying the loanwords being a native speaker of the language. On the other hand, the secondary sources include written records, such as journal articles, dissertations, thesis, dictionaries etc. The paper concludes that Kanuri, a Nilo-Saharan language uses deglottalization and sonorization in nativazation of some Hausa borrowed lexical items. This resulted in making the loanwords to behave like the native words of the target language (Kanuri).

The Role of Second Language Reading Proficiency in Moderating Second Language Word Recognition

Drawing upon the division of labor between orthographic and phonological information, this study investigated whether and how L2 reading proficiency moderates learners’ reliance on phonological and orthographic information in retrieving word meanings. A total of 136 Chinese collegiate students who learned English as a foreign language (EFL) completed English reading proficiency tests and were divided into higher and lower reading proficiency groups using an extreme-group approach. Behavioral tasks were used to measure the participants’ sensitivity to and processing skills of orthographic and phonological information. The analysis showed that the reliance on phonological and orthographic information differed significantly across L2 reading proficiency groups: The higher reading proficiency group was sensitive to both phonological and orthographic information within words, while the lower reading proficiency group was only sensitive to orthographic information; only orthographic processing skills significantly contributed to the word meaning retrieval of individuals in the higher reading proficiency group, while phonological processing skills were the only predictor for the lower reading proficiency group. These results suggest that the use of phonological and orthographic information vary as a function of L2 learners’ English reading proficiency. Implications regarding the changing patterns of L1 influences and the language-universal and language-specific aspects of word recognition were discussed.

Термінологія морфологічного середовища для моделювання технічних систем

Unlike the words of the language of common goals, the appearance of the term goes through a more complicated path and is connected with a new phenomenon of reality, so it is not spontaneous. The term, unlike the words of natural language, always describes a single, strictly defined set of material objects or their interactions and relationships. Each term has a strict definition that conditions such unity, and to understand a term it is necessary to know both its own definition and the definitions of all the terms used in its definition, down to the basic, undefined, concepts. The appearance of the term, unlike the words of the language of common goals, goes through a more complicated path and is not spontaneous, as it is connected with a new phenomenon of reality, the nomination of which is one of the links of the process of cognition. The rapid formation of new disciplines entails the need for its own terminology.
 The article analyses term formation for the direction of modelling technical systems using the morphological environment. Various ways of forming terms are considered, the main of which are: formation by word-forming derivative - creation of new words from morphemes available in the language according to known (usually productive) models; by means of a semantic derivative, in other words, the formation on the basis of the similarity of a newly called phenomenon with a phenomenon already known in an already existing word of another meaning; by borrowing words from other languages. An example of creating a thesaurus is given. The ways of forming terms are considered: by way of word-forming derivative; by way of semantic derivative; due to the borrowing of words from other languages, the algorithm and peculiarities of the implementation of each method are analysed.
 The authors give the classification of terms and the scheme of the process of formation of terms, also the algorithm of using related terms between related disciplines is given, it is emphasized that the possibility of using terms between related disciplines is observed.
 An interdisciplinary approach is implemented where the methodology and theoretical foundations of different sciences, in particular disciplines far from each other, are jointly used to study the same phenomenon. An interdisciplinary approach creates the possibility of using terms between related disciplines. The process of such use is shown.

Anodal transcranial direct current stimulation (atDCS) and functional transcranial Doppler sonography (fTCD) in healthy elderly and patients with MCI: modulation of age-related changes in word fluency and language lateralization.

Introduction: In addition to age-related changes in language, hemispheric lateralization of language functions steadily declines with age. Also, performance on word fluency tasks declines and is sensitive to the expression of dementia-related changes. The aim of this study is to evaluate the effect of anodal tDCS combined with a word fluency training on language lateralization and word fluency performance in healthy elderly subjects and in persons with mild cognitive impairment (MCI). Methods: The effect of anodal tDCS over the left inferio frontal gyrus (IFG) was measured in a group of healthy elderly up to the age of 67years (YG, Ø = 63.9 ± 3.02), a group of healthy elderly aged 68years and older (OG, Ø = 78.1, ± 4.85), and a group of patients with MCI (Ø = 81.18, ± 7.35) by comparing performance in phonological and semantic word fluency tasks before and after 3days of tDCS. Half of the experimental participants received sham stimulation. In addition, language lateralization was determined using a lateralization index (LI) measured with functional transcranial Doppler sonography (fTCD) before and after the stimulation period. Results: Anodal tDCS was associated with significantly higher scores in phonological but not semantic word fluency in both YG and OG. In MCI patients, no difference was measured between the tDCS and sham groups in either word fluency task. fTCD showed significantly increased left lateralization in all three groups after the training phase. However, this effect was independent of tDCS and the degree of lateralization could not be predicted by word fluency performance in any of the groups. Discussion: Phonological word fluency can be increased with atDCS in healthy elderly people by stimulating the IFG in a 3-day training. When cognitive decline has reached a certain stage, as is the case with MCI, this paradigm does not seem to be effective enough.

Developing Chinese lexical representations in Korean learner’s mind

Aims and objectives/purpose/research questions: The present research explores whether Korean learners of Chinese at different proficiency levels employ distinct processing strategies when processing Chinese words with identical or different orthographic representations. Design/methodology/approach: In this research, two experimental studies were carried out to examine how Korean learners with different Chinese language proficiency process orthography, pronunciation, and meanings of Chinese written words. Data and analysis: Reaction times and error rates were analyzed for each study. Revised hierarchical model (RHM) and Ontogenesis Model (OM) are the major models used to analyze and discuss the results. Findings/conclusions: The findings of the phonological task reveal that intermediate-level participants utilize first language mediators to access second language (L2) words, whereas high-level participants can directly activate L2 phonological representations without first language interference. Conversely, in the semantic task, participants from both proficiency levels seem to adopt the word association model regardless of orthographic representations. Originality: The originality of the present study lies in its examination of the processing strategies employed by Korean learners of Chinese at different proficiency levels, specifically when processing Chinese words with identical or different orthographic representations. Significance/implications: These findings suggest that L2 proficiency does not guarantee the elimination of native language influence on L2 lexical processing and various factors can affect L2 lexical processing. To improve L2 lexical learning, it is recommended to start language learning early, increase vocabulary size, and enhance exposure to L2 words.

Language, Dialects and Climate Change

Human beings live in a relationship with each other in human society and solve their problems through interaction. After years and centuries, due to climate change, their language and dialect change and words are added according to their new surroundings. Today, due to the advent of the scientific and technical revolution, climatic conditions will continuously increase and change. Climate change makes it evident that dialects have not persisted and that they alter when agricultural conditions in rural areas change, resulting in the usage of various words there. What was not used before, for the peviously Qalba in field the terms Qalba, Sarbani, Motani, and Ghazj were used but now the tractor is used instead. If a new technique is used in the field instead of the old manual tools, the economic structure will also change, and the relations among the residents will change until a new color and a new type appear in the construction and other parts of the environment, houses, and new sides as well. With it in a new way and a new color in a new language. In dialect, new terminology is created instead of the old terminology. Climate change over the years and centuries has caused changes in language and dialect.

A dataset of behavioral measures on Chinese word production in picture naming

Most studies of language production have been conducted with speakers of alphabetic languages, but relatively little research has examined languages with non-alphabetic scripts, such as Chinese. Moreover, most work on language word production has investigated phonological output processing (i.e., speaking), whereas comparatively little research has focused on orthographic output, such as writing and typing. Work on non-alphabetic languages and/or written production is particularly promising, given that it speaks to universalities vs. specificity in terms of architectures and mechanisms underlying language processing across all world languages and modalities. The current article reports a dataset of word production in Chinese with spoken and written responses, which includes reaction times of 193,851 trials of naming 403 pictures obtained from 667 participants across 23 Chinese word production experiments. All data were collected in the same experimental environment and from participants with relatively homogenous characteristics, using the same protocols and parameters. The dataset enables researchers to explore how Chinese speakers produce spoken and/or written words, and to identify language-specific features underlying word production.