Evidence of Variable Gender Role in Defining Language Change Leadership in Syrian Arabic

This study aims to present evidence of gender variability among leaders of language change across different sociolinguistic variables, five phonological variables (a consonant and four vowels) and a discourse variable in Syrian Arabic, within the same speech community. Employing a sociolinguistic variationist approach and comparing children to adults yielded different gendered linguistic behavior. Children show the same dramatic gendered linguistic difference as adults regarding the variable (q), with males using much more rural [q] than urban [ʔ] than females. Regarding the vowel variables, children dramatize their gendered linguistic difference much more than adults; boys show much higher use of the rural vowels than girls compared to the difference between men and women. This pattern is reversed in the discourse variable (yaʕni) ‘that is/I mean’; the gendered linguistic difference is more dramatic among adults than it is among children, and gender effect diminishes in the linguistic distribution of the variable. This multidirectionality in gender effects bears implications for sociolinguistic variationist research. Variables indexed to urban refinement/prestige and social meanings such as femininity/masculinity are more likely to be led by females than males. Conversely, variables that lack these types of social/gender identification indexicality, regardless of whether they are phonological or discursive, do not follow the same pattern of leadership.

A Methodological Approach to Analyzing Digital Game-Based FL Use and Learning

The potential of digital gaming to facilitate foreign language (FL) learning has been established in many empirical investigations; however, the pedagogical implications of these investigations remain rather limited. A potential reason for this limitation is that the FL learning potential of digital games is embedded in the gaming ecology and shaped by different forces in that ecology. However, to date most empirical studies in the field have focused primarily on the linguistic behavior of gamers rather than the gaming ecology. A potential reason for this is the lack of a robust methodological approach to examining game-based language use as an ecological, multidimensional activity. To address this research gap, this chapter proposes the diamond reconstruction model, a dynamic, multidimensional, and ecology-sensitive approach to de- and re-constructing game-based FL use. Grounded in theories of gameplay, and informed by a conceptual model of game-based FL use, the model reconstructs gameplay episodes by gathering detail-rich data on social, cognitive, and virtual dimensions.

Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context

Depression has been identified as the most prevalent mental disorder worldwide. Due to the stigma of mental illness, the population remains unidentified, undiagnosed, and untreated. Various studies have been carried out to detect and track depression following symptoms of dichotomous thinking, absolutist thinking, linguistic markers, and linguistic behavior. However, there is little study focused on the linguistic behavior of bilingual and multilingual with anxiety and depression. This chapter aims to identify the bi-multilingual linguistic markers by analyzing the recorded verbal content of depressive discourse resulting from life situations and stressors causing anxiety, depression, and suicidal ideation. Different contextual domains of word usage, content words, function words (pronouns), and negative valance words have been identified as indicators of psychological process affecting cognitive behavior, emotional health, and mental illness. These findings are discussed within the framework of Beck's model of depression to support the linguistic connection to mental illness-depression.

ETHNOLANGUAGE COMPETENCE OF THE POPULATION OF BASHKORTOSTAN IN CONDITIONS OF BILINGUALISM (based on results of ethnosociological studies)

The article deals with the issues of language competence and speech activity of the population of the republic in different language situations. It was found that, despite the high level of recognition of the native language and language competence, individuals use Russian more when communicating. Such language behavior manifests itself not only in public places, in educational institutions or when communicating with close friends, but even in the family and household sphere. One of the factors of such speech activity of individuals is the ethno-linguistic environment, which contributes to the formation of linguistic competence and further generates linguistic behavior of individuals.

Heterogeneity in Linguistic Behavior While Maintaining Identity Among the Users of Different Dialects of the Brahui Language

This study explores the lexical variation among Brahui dialects in general and, three main dialects of Brahui language Sarawani, Rakhshani, and Jalawani, in particular. The aim was to find out how far lexical variation marks the existence of identity and regional boundaries. The data was collected through interviews from 12 participants. In this study the social identity theory by Tajfel and Turner (1979) was used. The study reveals that lexical variety exists among the three Brahui dialects showing heterogeneity in the participants’ linguistic behavior to keep up their identities which separates the inhabitant of one region from another region also showing the presence of regional boundaries.

Switching between Codes, Social Personas and Seminar Activities. A Case Study of Localized Hypersubjectivities Constructing a Laboratory-Based Superdiverse Micro-Community

One perspective bound to rouse interesting ideas in relation to efforts of mapping out World Theory, especially in the interplay between ‘local cultures’ pinned against the backdrop of globalization, might just come in the form of sociolinguistics. The author argues that the code-switching practices (polylingual practices, cf. Jørgensen) observed taking place between two groups of highly creative tri-/tetra-and pentalingual Erasmus students solving Physiology-related tasks during laboratory hours, are the perfect site for studying a superdiverse micro-community. The clash and intertwinement of not only every student’s linguistic baggage, but of their various background cultures and performed social personas, in the midst of switching back-and-forth between their locally co-constructed English(es) as Lingua Franca(s), are reflective of the challenges posed by accelerated patterns of migration. This linguistic behavior is also emotionally-driven and socially fluid. Therefore, micro- and even niche-subcultures exhibit a tendency to be reduced to hypersubjectivities co-existing in ad-hoc micro-communities (Hall).

A integração conceptual como uma máquina de Carnot no processamento de informações com finalidade à comunicação | Conceptual integration as a Carnot machine in the processing of information for the purpose of communication

Neste artigo, temos como objetivo um paralelismo epistemológico entre a integração de conceitos (FAUCONNIER; TURNER, 2002) e a eficiência de uma máquina termodinâmica (CARNOT, 1824). Nossa hipótese é a de que o comportamento linguístico equivalha a um sistema adaptativo complexo (DUQUE, 2016),com eficiência máxima em seus processos comunicativos,tal qual uma máquina termodinâmica. Com base em nosso objeto,a saber, as redes de integração conceptual (SILVA, 2019), percebemos que o ser humano mistura conceitos a partir de muitas frentes de informação (frames) e compõe uma estrutura conceptual nova, fruto da amálgama de informações desses frames. Assim, baseando-nos emum método qualitativo, apoiado na visão de Silverman (2000), concluímos que a rede de integração conceptual funciona de forma semelhante a uma máquina térmica de Carnot, na qual elementos são processados de forma a garantir a máxima eficiência.Palavras-chave: Integração conceptual. Máquina de Carnot. Sistemas adaptativos complexos. Comunicação. AbstractIn this article, we aim at an epistemological parallelism between the conceptual blending (FAUCONNIER; TURNER, 2002) and the efficiency of a thermodynamic machine (CARNOT, 1824). Our hypothesis is that linguistic behavior amounts to a complex adaptive system (DUQUE, 2016) with maximum efficiency in its communicative processes in the same way as a thermodynamic machine. Supported by our object, namely the conceptual integration networks (SILVA, 2019), we perceive that the human being mixes concepts from many information fronts (frames) and composes a new conceptual structure, resulting from the amalgamation of information from these frames. Thus, based on the qualitative method supported by Silverman's (2000) vision, we conclude that the conceptual integration network works similarly to a Carnot thermal machine, in which elements are processed in order to ensure maximum efficiency.Keywords: Conceptual blending. Carnot machine.Complex adaptative systems. Communication. ORCIDhttps://orcid.org/0000-0001-7626-1504https://orcid.org/0000-0001-5263-8979

Compliments and compliment responses in Egyptian and Saudi Arabic

The current study reports on a variational pragmatic comparison of compliments and compliment responses between Egyptian and Saudi Arabic. Data were collected by using Discourse Completion Tasks from 443 Egyptian and 428 Saudi undergraduates, and were analyzed using adaptations of Yuan’s (2002) and Herbert’s (1986) models. The results reveal significant differences in politeness management between Egyptian and Saudi youth, particularly with Egyptians producing more explicit compliment strategies and Saudis showing stronger preference for implicit compliment strategies and combination patterns. Less difference is noted in compliment responses with only Egyptians exhibiting higher use of additional strategies. The findings are interpreted in light of politeness theory and the interplay between cultural values and linguistic behavior.

The Old and the New: Considerations in Arabic Historical Dialectology

Arabic historical dialectology has long been based on a historical methodology, one which seeks to link historical population movements with modern linguistic behavior. This article argues that a nexus of interrelated issues, centered around a general theme of “oldness,” has impaired this work, and proposes basic principles to avoid the misinterpretation of linguistic data. This article argues that there is a strong tendency to essentialize the idea of linguistic conservatism and attribute it to the groups that have archaic features. Against this view, it proposes that linguistic conservatism should be seen as a failure to participate in otherwise widespread innovations. It critiques the assumption that the modern dialect distribution is directly derived from the earliest settlements established during the Islamic conquests in the seventh century, arguing instead that long-term linguistic durability is unlikely. The article further challenges the assumption that highly conservative dialects such as those of Yemen are ancestral to modern dialects in a meaningful way, arguing instead that either more proximate ancestors or wave-like diffusion had a greater impact on the development of modern dialects. Finally, the paper suggests that a heuristic approach based on typical processes of language diffusion and human migration offers a more productive approach to understanding the history of Arabic dialects than a model based on historical events; many of the existing linguistic classifications may be directly derived from this heuristic.

Personality Analysis Using Classification on Turkish Tweets

According to the psychology literature, there is a strong correlation between the personality traits and the linguistic behavior of people. Due to increase in computer based communication, individuals express their personalities in written forms on social media. Hence, social media became a convenient resource to analyze the relationship between the personality traits and the lingusitic behaviour. Although there is a vast amount of studies on social media, only a small number of them focus on personality prediction. In this work, we aim to model the relationship between the social media messages of individuals and Big Five Personality Traits as a supervised learning problem. We use Twitter posts and user statistics for analysis. We investigated various approaches for user profile representation, explored several supervised learning techniques, and presented comparative analysis results. Our results confirm the findings of psychology literature, and we show that computational analysis of tweets using supervised learning methods can be used to determine the personality of individuals.