Category Word Research Articles

HOZIRGI O‘ZBEK VA QORAQALPOQ ADABIY TILLARIDAGI IKKI KOMPONENTLI FE’L FRAZEMALAR

In the article, verbs are the main component of synonymous phrases in modern Uzbek and Karakalpak literary languages, and words of other categories constitite a minor component and theoretically and practically they have two, three, four and other components are proven with examples.

Is auditory awareness graded or dichotomous: Electrophysiological correlates of consciousness at different depths of stimulus processing

The level-of-processing (LoP) hypothesis postulates that transition from unaware to aware visual stimuli is either graded or dichotomous depending on the depth of stimulus processing. Humans can be progressively aware of the low-level features, such as colors or shapes, while the high-level features, such as semantic category, enter consciousness in an all-or none fashion. Unlike in vision, sounds always unfold in time, which might require mechanisms dissimilar from visual processing. We tested the LoP hypothesis in hearing for the first time by presenting participants with words of different categories, spoken in different pitches near the perceptual threshold. We also assessed whether different electrophysiological correlates of consciousness, the auditory awareness negativity (AAN) and late positivity (LP), were associated with LoP. Our findings indicate that LoP also applies to the auditory modality. AAN is an early correlate of awareness independent of LoP, while LP was modulated by awareness, performance accuracy and the level of processing.

The arousal level of consciousness required for working memory performance: An anaesthesia study.

Regarding the stage of arousal level required for working memory to function properly, limited studies have been conducted on changes in working memory performance when the arousal level of consciousness decreases. This study aimed to experimentally clarify the stages of consciousness necessary for optimal working memory function. In this experiment, the sedation levels were changed step-by-step using anaesthesia, and the performance accuracy during the execution of working memory was assessed using a dual-task paradigm. Participants were required to categorize and remember words in a specific target category. Categorization performance was measured across four different sedative phases: before anaesthesia (baseline), and deep, moderate and light stages of sedation. Short-delay recognition tasks were performed under these four sedative stages, followed by long-delay recognition tasks after participants recovered from sedation. The results of the short-delay recognition task showed that the performance was lowest at the deep stage. The performance of the moderate stage was lower than the baseline. In the long-delay recognition task, the performance under moderate sedation was lower than that under baseline and light sedation. In addition, the performance under light sedation was lower than that under baseline. These results suggest that task performance becomes difficult under half sedation and that transferring information to long-term memory is difficult even under one-quarter sedation.

An empirical analysis of the impacts of live chat social interactions in live streaming commerce: A topic modeling approach

The popularity of live streaming is driving the emergence of a new business model, known as live streaming commerce (LSC). The live chat service serves as a key indicator of viewer engagement in LSC shows, differentiating LSC significantly from traditional e-commerce. In this paper, we collect a rich live streaming dataset and identify two categories of social interactions behind live chat: transaction-oriented and relationship-oriented. Broadcasters and viewers in the transaction-oriented category focus on products and transactions and tend to communicate with non-emotional words in live chats. In contrast, broadcasters and viewers might treat each other as friends and are more likely to post emotional words in the relationship-oriented category. Our econometric model shows a curvilinear association between relationship-oriented social interactions and viewer purchase behaviors. The empirical analysis indicates that to achieve higher sales, LSC broadcasters should make relationship-oriented social interactions in live chat account for 58.64% of the probabilities. We discuss the implications of heterogeneous social interaction strategies across different broadcasters.

Atypical semantic cognition in schizotypal personality disorder and borderline personality disorder

ABSTRACT Increased schizotypal traits have previously been associated with atypical semantic cognition in community samples. However, no study has yet examined whether adults diagnosed with schizotypal personality disorder (SPD) display atypical semantic fluency and memory. We hypothesized that 24 adults diagnosed with SPD would name more idiosyncratic words on the semantic fluency task and show decreased semantic recall for animal and fruit category words compared with 29 participants with borderline personality disorder (BPD) and a community sample of 96 age-matched controls. We examined whether atypical semantic cognition was specifically associated with disorganized and eccentric speech and thinking, or more broadly with pathological personality traits and personality functioning. Our main hypothesis was confirmed, as the SPD participants named more idiosyncratic words and recalled fewer semantically related words compared with controls. Surprisingly, participants with BPD likewise named more atypical words compared with controls. More idiosyncratic semantic fluency was associated with more eccentric speech and thinking. Increased idiosyncratic semantic fluency and reduced semantic recall were both coupled to increased detachment and lowered personality functioning, while reduced semantic recall further was related to increased interpersonal problems. Our findings suggest that persons with SPD, and to a lesser degree BPD, show atypical semantic cognition, which is associated with eccentric speech and thinking, and more broadly with impaired personality function, social withdrawal, and emotional flatness. The idiosyncratic semantic cognition may worsen difficulties with social reciprocity seen in SPD and BPD.

Linguistic analysis of health anxiety during the COVID-19 pandemic.

Health anxiety, which is defined as fear of having or contracting serious physical illness, is particularly salient in light of the COVID-19 pandemic. We conducted a mixed methods study in which 578 narrative samples were analyzed using Linguistic Inquiry and Word Count (LIWC) software to determine linguistic markers from six LIWC categories relevant to cognitive-behavioral features of health anxiety. Broad linguistic predictors were analyzed through three backward elimination regression models in order to inform subcategory predictors of each area of health anxiety. Thus, both broad and specific linguistic predictors of general health anxiety, virus-relevant body vigilance, and fears of viral contamination were examined. Greater use of affective category words in written narratives predicted general health anxiety, as well as body vigilance and viral contamination fears. These findings represent the first direct demonstration of linguistic analysis of health anxiety and provide nuanced information about the nature and etiology of health anxiety.

Language access differentially alters functional connectivity during emotion perception across cultures.

It is often assumed that the ability to recognize the emotions of others is reflexive and automatic, driven only by observable facial muscle configurations. However, research suggests that accumulated emotion concept knowledge shapes the way people perceive the emotional meaning of others' facial muscle movements. Cultural upbringing can shape an individual's concept knowledge, such as expectations about which facial muscle configurations convey anger, disgust, or sadness. Additionally, growing evidence suggests that access to emotion category words, such as "anger," facilitates access to such emotion concept knowledge and in turn facilitates emotion perception. To investigate the impact of cultural influence and emotion concept accessibility on emotion perception, participants from two cultural groups (Chinese and White Americans) completed a functional magnetic resonance imaging scanning session to assess functional connectivity between brain regions during emotion perception. Across four blocks, participants were primed with either English emotion category words ("anger," "disgust") or control text (XXXXXX) before viewing images of White American actors posing facial muscle configurations that are stereotypical of anger and disgust in the United States. We found that when primed with "disgust" versus control text prior to seeing disgusted facial expressions, Chinese participants showed a significant decrease in functional connectivity between a region associated with semantic retrieval (the inferior frontal gyrus) and regions associated with semantic processing, visual perception, and social cognition. Priming the word "anger" did not impact functional connectivity for Chinese participants relative to control text, and priming neither "disgust" nor "anger" impacted functional connectivity for White American participants. These findings provide preliminary evidence that emotion concept accessibility differentially impacts perception based on participants' cultural background.

Possibilities of Predicting a Person's Substance Use Behaviour and Mental Health Through Social Media in a COVID-19 Crisis Context

The negative psychological consequences of the COVID-19 pandemic and the forced isolation of a large proportion of people worldwide have demonstrated the need to develop ways and technologies to reduce the effects of sudden threats of this type. The basis of any practical work to minimize the negative psychological consequences of the COVID-19 pandemic associated with substance use is the monitoring and diagnosis of the psychological resources of the individual. The article aims to show the possibilities of predicting the behavior of an individual through the content analysis of posts and reposts of their profile on the social network VKontakte on the example of the propensity to use psychoactive substances and to substantiate the possibilities of optimizing and automating such prediction through the use of category markers. Content analysis was carried out by latent semantic analysis of texts extracted from posts and reposts of VKontakte social network users with subsequent content analysis through selecting markers - category words. As a result, a categorical grid was built, which increases the efficiency of content analysis of posts and reposts of users and is suitable for further automation of such research by machine learning methods.

Clustering and Switching in Semantic Verbal Fluency: Their Development and Relationship with Word Productivity in Typically Developing Greek-Speaking Children and Adolescents.

Performance in semantic verbal fluency (SVF) tasks, mainly measured by the number of words of a particular semantic category produced within a limited time, is a widely accepted measure of cognitive functioning used in the neuropsychological assessment of children and adults. Two strategic processes, Clustering and Switching (C&S) have been proposed to underlie fluency processes and affect performance in the task. However, few studies have reported on the development of those cognitive strategies and their relationship with word productivity in typically developing children. Even fewer studies have covered a broad developmental period from preschool to adolescence or measured the effect of contextual factors in this relationship. Based on a sample of 472 typically developing Greek-speaking children aged 4;0 to 16;11 years, we investigated the development of SVF performance and reported on the degree to which it is affected by C&S strategies, children's sex, and level of parental education. Results revealed a large effect of age on word productivity and on the use of C&S strategies. Two switching factors (number of clusters and number of switches) and two clustering factors (mean cluster size and a novel measure, maximum cluster size), appeared to be significantly associated with word productivity, with the largest effect being attributed to the two switching factors. C&S factors, together with children's age and parental education, predicted 91.7% of the variance in the SVF score. Children's sex was not found to have a significant effect on either word productivity or C&S strategies. Results are discussed for their theoretical implications on the strategic processes underlying word production in typically developing children.

Frequent native language use supports phonemic and semantic verbal fluency in L1 and L2: An extended analysis of verbal fluency task performance in an L1 language attrition population

Purpose: Verbal fluency (VF) tasks are an efficient tool for exploring lexical retrieval. Attriters generally produce fewer words in semantic categories than monolinguals, but the processes underlying attriters’ lexical retrieval remain unclear. Phonemic tasks are scarcely applied in language attrition studies. We aim to identify processes underlying attriters’ phonemic verbal fluency (PVF) and semantic verbal fluency (SVF) performance by extending the analysis beyond total scores in the first (L1) and second (L2) language. Design: We modeled total scores and temporal aspects of task performance in L1 and L2 for the attriters, with L1 use and length of residence (LoR) as predictors. We analyzed the number and types of errors between languages and compared L1 task performance with a matched monolingual group. Data and analysis: Attriters’ ( N = 38) phonemic and semantic task performance in L1 (Finnish) and L2 (English) were modeled, and results were contrasted to a matched monolingual control group ( N = 50). Findings: Attriters demonstrated strong proficiency in L1 and similar lexical retrieval processes in L1 and L2 after 20 years of immersive L2 exposure. Frequent L1 use supported overall performance but slowed performance down in both languages. Compared with monolinguals, attriters show a disadvantage in SVF, but not due to slower initiation. Instead, attriters rely more on rapid L1 retrieval than monolinguals. Originality: Prior research on VF tasks in language attrition populations has mainly focused on SVF total scores in L1. Our investigation explores underlying mechanisms of L1 and L2 task performance in PVF and SVF within a language attrition population and contrasts L1 performance to a matched monolingual group performance. Implications: This study demonstrates the importance of investigating L2 alongside L1 in language attrition studies for a holistic approach to language processing strategies. Our findings enhance understanding of the processes underlying VF task performance, emphasizing the significance of VF task early-stage performance.

성읍민속마을의 관광객 평가에 대한 네트워크 분석과 감성분석 -트립어드바이저 리뷰를 중심으로-

In this study, network analysis and sentiment analysis were performed to understand
 tourists' evaluation of Seongeup Folk Village through review analysis of TripAdvisor, a
 travel platform. As a result of network analysis, tourists who selected 1 or 2 stars
 wrote reviews focusing on forcing, selling, and soliciting products sold in Seongeup Folk
 Village, and tourists who selected 3 or 4 stars wrote reviews focusing on sales of
 products and local guides. Tourists who selected 5 stars wrote reviews focusing on the
 contents of the local guide. As a result of sentiment analysis, the higher the star rating,
 the higher the frequency of using positive words about Seongeup Folk Village. On the
 contrary, among the negative words, the words of the rejection category were used
 frequently, and in detail, 'terrible', 'bad', and 'uninteresting' appeared with high frequency.
 Through the analysis of tourist reviews, the strength of Seongeup Folk Village is the
 local guide system, and the weakness is sales of products and solicitation. Therefore,
 this study recognizes these points in the future, maximizes strengths, and minimizes
 weaknesses. It is considered that it can be used as basic data.

Predictors of Matching into Anesthesiology and Surgery: Analysis of One Program's Results

The objectives of this study were to use a multivariable regression model to determine what application factors made anesthesiology and surgery applicants more or less likely to match into an anesthesiology or surgery residency program. Surgery and Anesthesiology applicants listed on the final National Resident Matching Program (NRMP) Rank Order Lists from WMC in the 2020-2021 application cycle were included in analysis. All applicant data were collected through the Electronic Residency Application Service (ERAS). All ERAS and letters of recommendation (LOR) data were deidentified and LOR were subsequently inputted into a linguistics software to analyze the language use in LOR. Descriptive analyses were conducted to compare variables between applicants that matched to a specific residency program and those who matched elsewhere. A multivariable regression model was then used to determine characteristics of anesthesiology and surgery applicants that were indicative of matching to a specific rank of residency program. A total of 116 anesthesiology and 78 surgery applicants were included in final analysis. Analysis of anesthesiology applicants yielded four significant application characteristics that influenced matching to a higher or lower ranked residency program: USMLE Step 2 CK scores, medical school attended, insight category words in LOR, and anger category words in LOR. Similarly, analysis of surgery applicants yielded four significant characteristics: Race, USMLE Step 1 scores, insight category words, and see category words. Our results demonstrated that specialties of anesthesiology and surgery considered different metrics regarding the residency application process. Among the many factors that were analyzed, USMLE scores and language in LOR were considered significant in both specialties. As the application process continues to evolve, we may see a shift in what application factors are considered more important than others.

The Impact of Arabic Diacritization on Word Embeddings

Word embedding is used to represent words for text analysis. It plays an essential role in many Natural Language Processing (NLP) studies and has hugely contributed to the extraordinary developments in the field in the last few years. In Arabic, diacritic marks are a vital feature for the readability and understandability of the language. Current Arabic word embeddings are non-diacritized. In this article, we aim to develop and compare word embedding models based on diacritized and non-diacritized corpora to study the impact of Arabic diacritization on word embeddings. We propose evaluating the models in four different ways: clustering of the nearest words; morphological semantic analysis; part-of-speech tagging; and semantic analysis. For a better evaluation, we took the challenge to create three new datasets from scratch for the three downstream tasks. We conducted the downstream tasks with eight machine learning algorithms and two deep learning algorithms. Experimental results show that the diacritized model exhibits a better ability to capture syntactic and semantic relations and in clustering words of similar categories. Overall, the diacritized model outperforms the non-diacritized model. We obtained some more interesting findings. For example, from the morphological semantics analysis, we found that with the increase in the number of target words, the advantages of the diacritized model are also more obvious, and the diacritic marks have more significance in POS tagging than in other tasks.

From global language use to local meanings: Arabic to Indonesian absorption

Arabic being one of the oldest languages in the world, has made significant contributions to other languages including Indonesian. Some Indonesian vocabulary along with its development has been adopted from Arabic. This paper not only aims to map the absorption words in various categories, but also to analyze the factors of Arabic absorption into Indonesian. Descriptive qualitative method is used to explore the data in the text. The data is analyzed in four stages: data reduction, data display, data verification, and conclusion drawing. This study shows that the adoption of Arabic into Indonesian tends to be on words related to Islam, which relate to function, morality, death, and the occult. The language absorption cannot be separated from the history of Islam in Indonesia as the language of Islam (Arabic) colors Indonesian culture. Further research can sharpen the semantic analysis because the absorbed words experience reduction and degradation of meaning.

IMPLEMENTATION OF THE METHOD OFGENERALIZATION IN THE METHOD OF TEACHING THE RUSSIAN LANGUAGE AS A FOREIGN LANGUAGE

The article is devoted to the research of ways to implement the method of generalization in teaching Russian as a foreign language. Generalizing language material at the final stage of teaching students Russian as a non-native language is one of the most difficult methodological tasks. Its solution is associated with the task of systematizing language material enclosed in the space of the Russian language. However, it is not possible to thoroughly and fully describe this space. The implementation of the generalization method is shown on the example of the methodology of language material representing the state category. During the research, it was revealed that the generalization can be practical and theoretical in nature, which is why it can be presented in textbooks and textbooks in different ways. Among the most relevant ways to implement the generalization method, the following should be noted: 1) compiling a list of words that can act as statives in statements and be used in constructions expressing a state category, 2) representing the internal (categorical) and externalgrammar of words of a state category, 3) performing a theoretical comparison of a state category with words expressing other categories, 4) explaining the difference between the functioning of words of a state category and the functioning of words belonging to other categories. All this allows you to identify the same, common or repeating properties for statives, apply a grammatical algorithm for the use of statives in statements, identify the general genetic foundations of the category of state, determine the natural and significant connections of the particular manifestations of the category of state, represent the integral system of the category of state in the general system of the language, by detecting the genetic general basis of the category of a state analytically realistically and mentally transform its system, find a general principle of the correct approach to multiple homogeneous uses of words of the state category, create a detailed system of knowledge of the language. At the end of the research, it was concluded that a correct and competent generalization of knowledge about statives contributes to the successful, long-term and continuous language interiorization of the status category.

Imagine Yourself Dancing Waltz: The Effect of Imagination on Memory in Alzheimer's Disease.

Self-imagination refers to a mnemonic strategy of imagining oneself at a scene related to a cue. We tested the effect of self-imagination on memory recall in Alzheimer's disease (AD) Methods: Individuals with AD and healthy controls were invited to perform two conditions. In the control (i.e., semantic elaboration) condition, participants were asked to define to which semantic category (e.g., dance) words (e.g., waltz) belong. However, in a self-imagining condition, participants were asked to imagine themselves in a scene related to the stimuli (e.g., dancing waltz). Both conditions were followed by two free memory tests with two different intervals (20 seconds vs. 20 minutes). Analysis showed a beneficial effect of self-imagination for the 20-second but not for the 20- minute recall in AD participants and controls. Clinicians can incorporate our findings when assessing, especially when trying to rehabilitate, episodic memory in AD.

Vowel Mutation in Hindko: Optimality Theory Analysis

Vowel mutation is a productive process for forming new words in Germanic languages. The current study examines the vowel mutation process in Hindko, which is an Indo-Aryan dialect. The main focus of the paper is to analyze the process of vowel mutation resulting in derivations in Hindko. For the current study, the data was collected using a discourse-centered method. The study uses optimality theory as framework to identify the structural constraints on input and output vowel mutation. The study discovers that through this process, words of various categories can be formed in Hindko. The results of the study show that the causative verbs can be formed by lengthening the /o/ and /a/ in Hindko to make them de-verbal. In addition, the study also reveals that /a/ derives a noun from a verbal root in the language. The study recommends a spectrographic analysis of vowel mutation for further exploration of the phenomenon in the language.

Vocabulary suitability of science TED talks for English for science teaching and learning

Abstract With a view to advancing their students’ listening comprehension and vocabulary, English for Science teachers are frequently in search of new and interesting audio and video materials. TED Talks on science topics are a good option for this purpose. But just how suitable, vocabulary-wise, are they for English for Science learners? This study explores the lexical profile of TED Talks on science and compares it against non-science TED Talks and science academic lectures. We use a 5-million-word TED Talk corpus, with a 1.3-million-word science subsection. Of the two categories of TED Talks, it is the science ones that are lexically more similar to science academic lectures. Science TED Talks also feature significantly more technical vocabulary than non-science TED Talks. Reasonable listening comprehension is achieved at 4,000 words for science TED Talks, while ideal comprehension is achieved at 8,000 words for both categories. These results recommend science TED Talks for English for Science listening.

Linguistic analysis of phone interviews of Nobel laureates reveals differences in communication styles between economists and scientists

Language styles used by academics working in disciplines are different, possibly reflecting how different types of knowledge are conceived, communicated and taught. Most of the studies on the communication style of academics are based on analyses of pre-prepared academic writings and formal speeches. It is not known whether such differences in language styles are also practised in informal, colloquial communications. In this paper, we report a Linguistic Inquiry and Word Count (LIWC) analysis of the telephone interviews given by 82 Nobel Prize laureates in the fields of natural sciences (chemistry, physics, physiology, or medicine) and economic sciences. LIWC analysis identifies differences in usage frequency of words in various language categories. The result shows a higher use of money- and power-related words by economic laureates and a higher use of second-person pronouns among science laureates. When second-person pronouns were used, economic laureates tended to use them as a general reference, while scientists tended to use them as courtesy sentences or discourse markers. These observations indicate that different language styles are used by scholars of different research fields even in their impromptu verbal communications. It is possible that word choices by economists are influenced by the content of economic studies, which are concerned with influencing the external environment and by their preference in describing processes and actions. A more involved and high level of cautions, alertness, and precision in conversion may be indicated in the speaking style of natural scientists.

Neural correlates of mental time travel in individuals with high level of schizotypy

BackgroundMental time travel (MTT) is the ability to re-experience past events (autobiographic memory, AM) and pre-experience possible future events (episodic future thinking, EFT) through mental simulation. Empirical findings suggest that individuals with high level of schizotypy exhibit MTT impairment. However, the neural correlates of this impairment remain unclear. MethodThirty-eight individuals with high level of schizotypy and 35 low level of schizotypy were recruited to complete an MTT imaging paradigm. Participants were required to recall past events (AM condition), imagine possible future events (EFT condition) related to cue words, or generate exemplars related to category words (control condition) while undergoing functional Magnetic Resonance Imaging (fMRI). ResultsAM showed greater activation in precuneus, bilateral posterior cingulate cortex, thalamus, and middle frontal gyrus than EFT. Individuals with high level of schizotypy exhibited reduced activation in the left anterior cingulate cortex during AM (vs. Control) and in the medial frontal gyrus during EFT (vs. Control) compared to individuals with low level of schizotypy. Although psychophysiological interaction analyses did not show any significant group difference, individuals with high level of schizotypy exhibited functional connectivity between left anterior cingulate cortex (seed) and right thalamus, between medial frontal gyrus (seed) and left cerebellum during MTT, whereas individuals with low level of schizotypy did not exhibit these functional connectivities. ConclusionThese findings suggest that decreased brain activations may underlie MTT deficits in individuals with high level of schizotypy.