درخت حوزه‌های تخصصی

Vladimir Propp en tant que structuraliste et folkloriste russe, a bien essayé de formuler un système unique qui fonctionne dans tous les contes sans tenir compte de la divergence entre la langue, la littérature et la culture. Le Livre du Roi ou Shâhnâmeh de Ferdowsî est l’un des chefs-d’œuvre de la littérature persane qui est considéré comme l’héritage et l’identité culturels de notre passé historique. Cette étude a pour but de déterminer si toutes ces structures constantes et les fonctions permanentes proposées par Propp sont applicables à travers une partie de Shâhnâmeh intitulée Zahhak. Propp a développé sa théorie en étudiant les contes populaires, qui ont une structure narrative relativement simple. Shâhnâmeh, étant une œuvre épique, est beaucoup plus complexe. Il serait important d’examiner dans quelle mesure les fonctions de Propp se rapportent à cette narration épique et si certaines d’entre elles sont plus pertinentes que d’autres. En plus, étant donné l’aspect indissociable de la forme et du fond, nous allons mentionner l’impact de l’épopée sur la société iranienne. Cela nous amène à bien analyser aussi les caractéristiques du conte et les notions atemporelles au confluent de la forme et du contenu qui caractérisent l’œuvre de Ferdowsî. Il serait intéressant d’examiner comment une représentation allégorique de la société ainsi que l’imperfection humaine se manifestent à travers le conte de Zahhak.

The evaluation of students' writings and the allocation of scores are traditionally time-intensive and inherently subjective, often resulting in inconsistencies among human raters. Automated essay scoring systems were introduced to address these issues; however, their development has historically been resource-intensive, restricting their application to standardized tests such as TOEFL and IELTS. Consequently, these systems were not readily accessible to educators and learners. Recent advancements in Artificial Intelligence (AI) have expanded the potential of automated scoring systems, enabling them to analyze written texts and assign scores with increased efficiency and versatility. This study aimed to compare the efficacy of an AI-based scoring system, DeepAI, with human evaluators. A quantitative approach, grounded in Corder's (1974) Error Analysis framework, was used to analyze approximately 200 essays written by Persian-speaking EFL learners. Paired sample t-tests and Pearson correlation coefficients were employed to assess the congruence between errors identified and scores assigned by the two methods. The findings revealed a moderate correlation between human and AI scores, with AI diagnosing a greater number of errors than human raters. These results underscore the potential of AI in augmenting writing assessment practices while highlighting its pedagogical implications for language instructors and learners, particularly in evaluating the essays of EFL students.

Adhering to Hyland’s (2019) Interpersonal Model of Metadiscourse, this paper examines the distribution of interactive metadiscourse markers across various topics in popular science commentaries. The corpus comprises 300 popular science commentaries, including 150 magazine articles and 150 newspaper articles, spanning nine years from 2015 to 2024. This period saw increased public debates due to significant scientific discoveries, making the analysis of such engaging content particularly relevant. A corpus of 346,825 running words was analyzed using Antconc software, identifying 24,492 instances of interactive markers. The study shows that subcategories of interactive metadiscourse are frequently used in both popular science magazine and newspaper articles. However, interactive markers appear more frequently in magazine articles than in newspaper articles, indicating that the former has more structured content. Chi-square test results for subcategories of interactive metadiscourse reveal significant differences in the distribution of transition markers, endophoric markers, evidentials, and code glosses between the two corpora. This suggests that ESP and EAP material developers should create more explicit learning resources. Such resources could help language instructors and novice researchers, especially those whose first language is not English, understand how the rhetorical functions of interactive markers influence writing styles across different genres and facilitate successful reader interaction.

The ecological turn in translation studies subverts anthropocentric perspectives and redefines translation as a multispecies, semiotic process that transcends human language. Eco-translation, a central concept within this turn, extends the field of translation to include non-human actors and ecological networks, allowing for a more inclusive description of meaning-making. Yet this turn has also brought academics a sense of disorientation and solastalgia as scholars have to grapple with the tension between preserving traditional disciplinary boundaries and embracing the expansive horizons of transdisciplinary approaches. The current article traces the ecological turn using Doris Bachmann-Medick’s three-stage model of disciplinary turn: thematic expansion, metaphorical application, and methodological refinement. It maps the evolution of eco-translation from narrowly defined practices focused on ecological themes to a broader, inclusive framework that challenges the field’s traditional foundations. The article also examines the emotional and intellectual consequences of this turn, particularly the solastalgic experience of scholars experiencing the loss of familiar disciplinary contours while adapting to new paradigms.

This study examines the accessibility of translated navigational signs in Tehran Metro as a key site of public translation. Using field observations supported by the User-Centered Translation (UCT) framework, it assesses the clarity, consistency, and usability of bilingual signage and other multimedia  features across multiple metro stations and lines. The analysis identifies recurring inconsistencies in transliteration, translation choices, and the alignment between station names at stations and on the official metro map. These variations demonstrate the lack of a standardized approach to multilingual communication within the network and highlight the impact of such discrepancies on user navigation. The study contributes empirical data to ongoing discussions of translation in public spaces by showing how multilingual signage practices can either facilitate or hinder effective wayfinding in transit environments.

The study, which has been derived from a larger project, examined how effective ChatGPT, compared to human raters, is for scoring writing tasks when tasks were arranged from simple to complex or vice versa. In so doing, a correlational design was employed. The participants were 113 EFL learners. Two sets of writing tasks were customized based on the SSARC (simplify, stabilize, automatize, reconstruct, complexify) model. The participants were divided into two groups. They took a pre-test and did tasks in two different orders. The tasks were rectified by the researcher and returned to them later. The participants enhanced their text based on comments on tasks. After that, they took a posttest. Human raters and ChatGPT scored the pretests and posttests.  A Pearson Correlation test was run to obtain the correlation between a human rater and ChatGPT. The results indicated a strong positive correlation between scores assessed by human raters and those by ChatGPT when tasks were arranged from simple to complex (r = 968, p > 05) or complex to simple (r = 860, p > 05). These findings suggest that ChatGPT can be an effective tool for writing assessments. Suggestions for further research are discussed.

Political apologies serve as high-stakes communicative acts, addressing collective wrongdoing while seeking to repair damaged relationships between governments and affected groups. This study explored the evolution of political apologies in the 21st century, analyzing their role as public speech acts that respond to shifting societal and political norms. Despite their increasing prevalence in global politics, limited research has examined how these apologies have adapted linguistically and structurally over time to meet evolving public expectations. This research bridged this gap by employing a diachronic pragmatic approach. A corpus of 222 state-level political apologies, spanning two decades, was analyzed using the Cross-Cultural Speech Act Realization Project (CCSARP) framework, augmented with emerging pragmatic elements. Categorized into five sociopolitical periods, these apologies were coded and analyzed with Atlas.ti to identify shifts in their structural and linguistic components. The findings revealed a consistent use of Illocutionary Force Indicating Devices (IFIDs), alongside a growing emphasis on Explanation or Account and META (Reaffirmation). Novel elements, such as Commemorative Apologies and Forward-Looking Statements, demonstrated how political apologies are increasingly tailored to address systemic injustices and public demands for accountability and reconciliation. Theoretically, the study could enrich pragmatic frameworks by identifying new components of political apologies. Practically, it offers insights for crafting effective apologies that resonate with diverse audiences. This research underscored the adaptability of political apologies, positioning them as tools for fostering societal healing and advancing justice in a rapidly changing world.

Progress in International Reading Literacy Study (PIRLS) is an international comparative study of reading comprehension that is administered by the International Association for the Evaluation of Educational Achievement (IEA) to measure the reading competency of fourth grade students in the participating countries. The test is a very comprehensive measure of reading literacy which covers a wide variety of reading subskills and texts. The purpose of the current study is to evaluate the psychometric qualities of PIRLS 2021 using the national data of Kazakhstan. The 2-parameter item response theory was used to evaluate the test. Item difficulty, discrimination, infit, outfit, and the root mean square deviance (RMSD) fit statistics were examined. The multiple-group IRT was used to examine differential item functioning. Findings sowed that PIRLS 2021 is a robust measure of reading comprehension and does not exhibit differential item functioning (DIF). However, based on the 2PL discrimination and infit and outfit values, several items are problematic. The implications of this finding are discussed.

Despite the fact that impoliteness has been the focus of much investigation in various contexts, including political and cultural, there remains a paucity of evidence on the manifestation of impoliteness in literary texts. Examining Harold Pinter’s Mountain Language (1988) and Ashes to Ashes (1996), this paper discloses the impact of (im)politeness on identity. It posits that because of a mismatch in power dynamics and impoliteness between communicators, identity and self-esteem are subject to threat. Harold Pinter’s plays manifest profound interconnection between (im)politeness and identity construction/destruction. Our analysis shows how, in plays under scrutiny, characters are in a constant verbal struggle for survival and dominance and how this conflict impacts on characters’ social identity. Adopting Bousfield and McIntyre (2018) alongside Garcés-Conejos Blitvich (2009)’s model, this paper elucidates how impoliteness operates within the political settings of the plays in which the oppressors’ aggressive language aims to delegitimize the social identity of the oppressed ones. Furthermore, we strive to indicate how the impolite language and social/individual identity are closely related which contributes to a deeper understanding of characterization in literary works.