درخت حوزه‌های تخصصی

This study investigates the representation of starvation in Gaza across two leading Arab media outlets, Al-Jazeera and Al-Arabiya, through the lens of Cognitive Critical Discourse Analysis (Hart, 2014). Focusing on agency attribution, role allocation, and event construal, the analysis reveals how media discourse shapes public perceptions of responsibility and crisis. Findings demonstrate that Al-Jazeera denaturalizes starvation by foregrounding Israel’s agency and situating the crisis within a conflictual space open to contestation and alternative narratives. Conversely, Al-Arabiya depicts the issue by naturalizing starvation as a self-propelling humanitarian catastrophe, thereby suppressing antagonism and foreclosing discursive plurality. These divergent discursive trajectories illustrate how discursive stratifies such as de-naturalization and naturalization are enacted in media discourse and highlight the ideological orientations of representing humanitarian crises. The study contributes to scholarship on mediated representations, and Critical Discourse Studies by foregrounding the role of event construal in mediating political action and public consent.

Listening comprehension remains a persistent challenge for non-English major students, often due to passive learning approaches, limited interactive engagement, and ineffective assessment methods. Traditional formative assessment lacks real-time feedback and adaptive mechanisms, hindering students’ ability to monitor progress and develop effective listening strategies. To address these drawbacks, the current study examines the implementation of an AI-integrated gamified formative assessment in enhancing listening comprehension among the 38 first-semester students at Universitas PGRI Delta Sidoarjo, a private university in East Java, Indonesia. Employing a sequential mixed-methods approach, data were collected from a closed-ended questionnaire measuring dimensions of engagement, motivation, and self-regulation, alongside structured interviews with six selected students to gain deeper insights. The findings reveal that the AI-integrated gamified platform fosters a more interactive and engaging learning experience, with students demonstrating increased autonomy and strategic listening behaviors. The instant feedback and adaptive challenges contributed to improved comprehension, particularly in recognizing key information and inferring meaning from context. However, some participants expressed difficulties in adapting to the dynamic nature of the platform, citing cognitive overload and challenges in managing time constraints within the game-based environment. Additionally, variations in AI-generated feedback quality occasionally led to confusion in interpreting certain listening tasks. These findings suggest that while AI-integrated gamification enhances listening comprehension, further refinements in feedback accuracy and cognitive load management are essential to optimize its pedagogical impact. The study provides critical insights for educators and developers in designing AI-driven gamified assessment tools that effectively support listening comprehension development for non-English majors.

This study aimed to investigate the foreign language learning needs of undergraduate engineering students enrolled in the faculties of architecture and electrical in Iran. A total of 133 undergraduate students aged between 20-25 years, along with 30 subject-specific instructors from Azad and State universities of Yazd, Iran, participated in the study. The study was conducted using a qualitative-quantitative survey design, which involved questionnaires and interviews. Qualitative data was collected through interviews with 20 subject-specific instructors and ten undergraduate students in their eighth semesters. The analysis of qualitative and statistical data revealed that most students needed to master the English language before they attended their specialized courses. Over one-third of the students expressed dissatisfaction with the teaching methodology, evaluation methods, amount of foreign culture taught in class, and content of the textbook. The subject-specific instructors also expressed dissatisfaction with their students’ language skills. It can be concluded that in Iran, the English for Specific Purpose (ESP) course does not fully prepare the students to embark on their studies, as it does not sufficiently take into account their learning needs, present level of foreign language proficiency, objectives of the course, resources available in terms of staff, materials, equipment, finances, and time constraint, as well as the skill of the teachers and the teacher’s knowledge of the specific area.

Machine translation (MT) of literary texts presents unique challenges due to their stylistic complexity and cultural nuances. This study evaluated the performance of Google Translate (GT) and Microsoft Bing Translator (MBT) in translating Camus’s The Stranger from English to Persian. Data collection for this study involved automated evaluation using the Bilingual Evaluation Understudy (BLEU) metric and human evaluation conducted by three experts using the Localization Industry Standards Association (LISA) rubric. The results showed that GT significantly outperformed MBT across nearly all dimensions. GT achieved a BLEU score of 21.57 compared to MBT’s 6.36, with superior n-gram precision at all levels. The human evaluation phase also revealed GT’s fewer critical and major errors in almost all categories compared to MBT. However, both systems struggled to preserve the aesthetic and philosophical richness of The Stranger . These findings highlight the persistent limitations of MT in literary translation, particularly for linguistically distant pairs like English and Persian. While MT shows potential as a supplementary tool, it remains unsuitable as a replacement for human translators in capturing the depth and artistry of literary works.

Lexical bundles, starting with the anticipatory it, mostly serve as stance expressions (e.g., it is necessary to ). While most research centers on anticipatory, it-bundles in one single discipline, not much has been done across different disciplinary areas. Therefore, based on an adaptation of the functional taxonomy proposed by Hewings and Hewings (2002), this research attempted to detect it-bundles using a corpus of 400 research papers in L1-English and L1-Persian in applied linguistics (AL) and information technology (IT) to probe the possible significant resemblances and disparities. According to the results, IT writers employed fewer bundles than their AL counterparts, and their overuse was more impressive than that of their L1-English peers in AL. However, AL and IT writers showed similarity in their use of functional categories; AL writers also made heavier use of two functional categories: emphatic and epistemic. As for practice, writing instructors can exploit the findings of this study to facilitate academic writing instruction. They can also help students to achieve a better comprehension of anticipatory it-bundles .

Education has evolved significantly over the centuries, ranging from the ancient and classical era to the Industrial Revolution, inclusive education, and technology integration. In the latter part of the 20 th century, technology was incorporated into education, starting with audiovisual aids and computer-based learning through to distance learning, online learning platforms, virtual classrooms, and collaborative tools, transforming education into a more flexible and accessible experience (Chiu et al., 2023; Ghahari & Nejadgholamali, 2019; Ng et al., 2023). Having emerged in the 2000s, personalized learning platforms and massive open online courses (MOOCs) offered free or low-cost online courses to a global audience and catered to individual student needs and learning styles. Finally and most recently, artificial intelligence (AI) has provided personalized recommendations, automated grading, and data-driven insights to optimize learning through such tools as Jasper, Sudowrite, Quillbot, and ChatGPT (Bates et al., 2020; Rahiman & Kodikal, 2024; Rospigliosi, 2023). The present handbook is a must-read for any aspiring teacher and researcher, providing a clear and concise guide on how to use ChatGPT in classrooms. It introduces ChatGPT as a cutting-edge tool that can revolutionize teaching and learning and spotlight the process rather than only the product. ChatGPT was created and offered by OpenAI as a pre-trained language model in 2022 and is an extension to a line of writing tools that build on Grammarly, the Hemingway app, Google Docs, Microsoft Word, etc. It is a variant of the GPT (Generative Pre-trained Transformer) model and is trained on a large dataset of conversational text. It is already reforming businesses and industries like higher education, similar to the printing press and the internet. At its core, ChatGPT uses AI to compose responses to queries spanning numerous topics. It can help educators optimize their classroom practices, particularly assignments, and evaluation, throughout the course rather than only addressing educational outcomes. Naturally, in education, the camps are divided between those opposing the use of ChatGPT as a result of concerns about academic integrity and potential cheating and those who believe it can be a valuable supplement to traditional instruction for supporting instructors and students. As an instructional technologist, Skrabut takes the latter stance and recognizes the potential benefits of ChatGPT in enhancing the learning experience. He maintains that ChatGPT for education is similar to calculators in math, which can be fine-tuned for a variety of natural language processing tasks such as language translation, question answering, and test construction.  "80 Ways to Use Chat GPT in the Classroom" offers a number of examples of using ChatGPT to enhance the classroom experience in teaching and learning. However, students need to be trained in information literacy, which is critical for developing critical thinking and lifelong learning skills. Simply rehearsing information from ChatGPT without verification does not contribute to meaningful conversation. Right at the beginning, the author provides the basic instructions to work with ChatGPT and then outlines a set of keys to using it more effectively. Surprisingly enough, the reader will find these instructions and hints highly comprehensive and informative. The keys to obtaining successful responses include (a) Be as specific as possible when making a request; (b) Use an iterative approach (asking the same question in different general or specific ways); (c) Ask ChatGPT to improve its responses to meet your expectations; (d) Assign ChatGPT a role/act to serve (e.g., act as Linux, interviewer, plagiarism checker); (e) Always validate its responses by applying critical thinking skills. Most favorably, the author has supplied multiple examples for each task that ChatGPT can do. Each example has two parts, including the prompt to provide to ChatGPT (bold-typed) and the response from ChatGPT (italicized). According to the author,  if ChatGPT is used appropriately and strategically, the possibilities are extremely helpful and time-saving. Chapter 2 indicates how ChatGPT can assist in the course preparation procedure, starting with the course description to developing classroom activities. In the first step, the user may ask ChatGPT to describe a course by clearly introducing what it is about. Next, ChatGPT can help in creating actual goals and objectives for the course. Here, the author suggests that users guide ChatGPT to create valuable results by citing Bloom's Taxonomy, for instance, in their prompts. An example of a good prompt suggested by the author follows: "Write learning objectives for a sports management course at the remembering level of Bloom's Taxonomy using verbs like Cite, Define, Describe, Draw, Enumerate, Identify, Index, Indicate, Label, List, Match, Meet, Name, Outline, Point, Quote, Read, Recall, Recite, Recognize, Record, Repeat, Reproduce, Review, Select, State, Study, Tabulate, Trace, Write" (p. 21). ChatGPT can also assist teaching practitioners in crafting lesson plans, classroom activities, warm-up questions and activities (i.e., icebreakers), community-building activities (e.g., teamwork and class discussions), lecture notes and outlines, and assignment prompts. What is highly important in persuading ChatGPT to prepare these tasks is to give it as specific prompts as the user can. Chapter 3 concerns using ChatGPT as a teacher assistant in personalizing instruction (i.e., personalized education). Some of its contributions include: (a) grading written assignments and essays (given either generic or specific guidelines), (b) facilitating reading comprehension by generating text summaries, (c) creating fill-in-the-blanks stories (i.e., Madlibs) usually in enjoyable and funny way, (d) crafting writing samples for any given prompt or topic, (e) creating personalized study plans attuned to each student's learning abilities, and (f) generating dummy data such as exemplars. What is highly important at this stage is to provide detailed and clear guidelines, precisely indicating the length, word size, and scope, before ChatGPT gets started. Here are some effective prompts as models: Generate questions about with corresponding answers at a college level; Provide ten creative writing prompts for an essay writing class at the high school level; What are some interesting or novel ways to begin a math class with children; What are some icebreaker activities one could use for a college-level course. In Chapter 4, ChatGPT is introduced as an effective tool for assessment by quickly and easily creating a variety of test tasks and questions. Among the ways in which it can serve as an assessment aid are creating assessment rubrics for subjective tasks and designing test items of a variety of formats, including multiple-choice, fill-in-the-blanks, dichotomous or true-false, matching, and ordering forms. After deciding on and determining the target article or text as a prompt, one may ask ChatGPT in the following exemplary way: "Create one (or more) fill-in-the-blank exercise on " (p. 65). Chapters 5 and 6 illustrate how ChatGPT can assist teachers and students in developing study aids and classroom activities. Using ChatGPT in building study aids such as summaries, notes, outlines, flashcards, and vocabulary lists can make learning procedures more convenient, enjoyable, and effective. Teachers may ask ChatGPT to generate example sentences using a certain word, write a list of words and definitions for an article, and create a list of flashcards for the given words. ChatGPT can also aid in checking the authenticity of students' essays and in generating arguments and counterarguments on a given topic for classroom debates. The last two agendas, for instance, can be accomplished by giving the following prompts, respectively: "Did AI write this essay? " and "Debate me on the use of AI in higher education. I believe it should be used. You are to take the opposing side" (p. 77). Even more interestingly, ChatGPT can be assumed as a classroom member interacting with teachers and/or students. After raising a question or topic in the class, the teacher can ask the students to predict ChatGPT's responses and then compare the students' responses to those of ChatGPT. Given enough rubrics and guidelines, the students can also be invited to grade ChatGPT's responses and essays and realize the strengths and weaknesses of AI by themselves. Taking the students' side, Chapter 7 indicates how students can improve their writing and communicative skills by using ChatGPT as a digital tutor and partner. ChatGPT can help students in crafting essays, paper summaries, research papers, lectures, and presentations by improving both form (e.g., grammar, vocabulary, coherence) and content (e.g., themes, main ideas, ordering, and organization). In addition, it can provide feedback on their writing assignments before submission and help them revise their drafts after getting reviewed. ChatGPT can also serve as an assistant translator and conversation partner, thereby contributing to the student's language skills development. It is also a digital tutor, being accessible anytime not only to reply to the students' questions but also to personalize learning materials by adjusting the responses to their needs, age, and level of ability. For this purpose, the user may only need to guide ChatGPT in the following exemplary way: "Answer this question or explain this topic to a 15-year-old or beginning student". Further, ChatGPT can serve as an exceptional research assistant by helping students discover trending research topics, formulate research questions, develop annotated bibliographies, paraphrase and summarize content, find credible sources, and draft and edit sections of a document. Chapter 8 showcases how ChatGPT can be used in computer programming and application development. Given a specific and accurate script, ChatGPT can quickly and easily write codes, explain what a certain code does, troubleshoot the codes, clean up unnecessary codes, write scripts for Microsoft, Google, Apple, and Linux products, and enhance programs like spreadsheets or word-processing. Chapter 9 extends to other applications of ChatGPT, such as developing blog posts, writing book reviews, drafting grant proposals, writing play/video scripts, and role-playing scenarios. It also effectively assists in drafting email messages, letters of recommendation, job interview questions, press releases for projects, and award packages suitable for nominees and accomplishments. It can be further used for converting references to different formatting styles (e.g., APA, MLA, Chicago), converting grammatical structures (e.g., number, gender, tenses), analyzing data sets, and summarizing large amounts of content before a meeting or classroom session. Chapter 10 illustrates how practitioners can suppress their inhibition and/or fear of using AI as an education and assessment tool. It offers fundamental guidelines and strategies that help teachers and students find ChatGPT an asset rather than a threat. There are times when AI is appropriate and others when it is not. Teachers may ask the students to detect its flaws and limitations; they should be explicit on what is allowed and what is not. For example, if they are not allowing tools like ChatGPT, explain why it is essential to refrain from using it and the educational benefit of the assignment. ChatGPT would not have access to proprietary academic databases. Additionally, it does not have access to current events. Another point to consider is that "ChatGPT is a textual interface. It cannot see images or hear audio files. The more friction you introduce into the assignment, the less appealing it will be to use AI" (p. 159). Although organizations and instructors can enhance their productivity and save time through ChatGPT, there is a caveat regarding the accuracy of the information it offers, requiring the users to check the information from multiple other sources. Skrabut explains his point very clearly by stating that AI will inevitably impact teaching and learning, just as previous technologies have, but educators are required to prepare students for this future. While ChatGPT is an intriguing emerging technology, it is not yet a perfect tool and it is essential to weigh the potential drawbacks. While the book provides comprehensive instructions with practical examples, it lacks depth in addressing ethical concerns and academic integrity. For instance, it does not sufficiently explore ChatGPT's potential drawbacks, such as the risk of over-reliance on AI tools or diminishing critical thinking skills among students. Furthermore, the discussion on academic integrity could benefit from providing instructors with a list of hands-on techniques on how to minimize the possibilities of AI-assisted cheating. Although the book is highly practical and advisable, these limitations may explain the need for further research and instructional guidance on how to mitigate the potential threats associated with ChatGPT use in educational milieus. 

Teacher-researcher identity is commonly conceptualized as one of the central components of teachers’ professional identity. Such identity development is not only configured toward the past and present but also oriented toward the future. This retrospective duo-narrative inquiry aimed to portray such orientation by exploring the possible selves envisioned by two female Gen-Z EFL teachers upon the completion of their Master’s graduation theses in the Mekong Delta region. Informed by Possible Selves Theory, this study drew upon qualitative data collected from semi-structured interviews with two primary participants and two outsiders for data triangulation. Subsequently, data were analyzed utilizing thematic analysis for each case, followed by a cross-case analysis to identify convergences and divergences in their lived experiences. Findings revealed that participants reconstructed their teacher-researcher identity through three dimensions of possible selves, including the hoped-for, the ought-to-be, and the feared. They envisioned their identity as personally developed, institutionally grounded, yet potentially at risk of being contextually dissolved. The study was pedagogically significant for maintaining teachers’ motivation in the teaching profession through an envisioned sense of possible selves. Pedagogical implications were offered to inform Master’s students, teacher education programs, and tertiary institutions in Vietnamese contexts and beyond.

This study aimed to explore Iranian teachers’ cognition of L1 use in L2 teaching as a component of classroom management, in EFL classes at private language schools in Iran. The study comprised 12 in-service teachers, and the sample size was decided based upon data saturation. The instrument employed in this research was a semi-structured interview, designed to elicit the participating teachers’ cognition. The interviews were audio-recorded and were subsequently transcribed. Thematic analysis of the data demonstrated that the teachers believed the extent and frequency of L1 use should be balanced based on the objectives of L2 lessons, so that classes could be smoothly managed and learners could be sufficiently exposed to L2. Besides, the participants held that for effective classroom management, teachers should use L1 judiciously and selectively. In addition, they accentuated the significance of attention to learners’ English language proficiency level, psychological factors, and educational needs in this respect. Moreover, they were aware of the potential role of L1 use with regard to classroom management strategies, such as establishing rapport, maintaining discipline, and managing time. Overall, the participants were cognizant of using L1 in L2 teaching as a classroom management component. This inquiry provides implications for supervisors of language schools, language teachers, and language teacher educators.

In the postmodernism era, considering the new technological facilities, researchers are trying to improve the traditional learning process by presenting some new learning models. One of these models, called blended learning, tries to present special ways and solutions to blend synchronous and asynchronous learning. The flipped classroom, subcategorized in this model, reverses the traditional classroom formats. This study investigates the role of this model in EFL learners’ perceptions of class activities and their language achievement. In doing so, two classes in a high school, 10th grade, were selected as the participants. In the experimental group, the flipped learning approach was implemented through the creative software, developed by the researchers. The software was designed based on the book that students were supposed to study that semester. The software framework was Storyline which is a suitable software for creating interactive courses. Learners’ perceptions were also measured by using the translated version of the 'Students Perceptions of Classroom Activities' scale. The results revealed that the flipped learning approach could account for over 70 percent of Choice perception, about 50 percent for Challenge, and 10 percent for Joy perception. The results also demonstrated significant impact of flipped learning on language achievement. The results of this study would help instructors and practitioners to use technology in their teaching program and be optimistic about its amazing results in their learners’ outcomes.

The rapidly growing influence of artificial intelligence (AI) is poised to fundamentally transform the realm of English as a Foreign Language (EFL) instruction. This research studied this emerging trend through a qualitative research synthesis of 24 peer-reviewed articles published between 2021 and 2024. It examined them to highlight the diverse applications, challenges, and teaching practices associated with AI in EFL education. Methodological rigor was ensured through established inclusion and exclusion criteria for selecting the articles. The qualitative synthesis and thematic analysis revealed five prominent themes that illuminate the current landscape of AI in EFL instruction: 1) conceptualizations of AI within EFL settings; 2) factors influencing its adoption; 3) challenges faced when integrating AI into EFL settings; 4) limitations of AI-based tools and methods; and 5) potential avenues for future investigation. Although integrating AI into EFL pedagogy is still in its early stages and presents various challenges, the findings provide valuable insights and practical recommendations for effectively using AI in EFL education, enhancing teaching methods, and improving student learning outcomes. Educators can make informed decisions regarding its implementation while navigating the evolving EFL instruction landscape by cultivating an understanding of AI's potential benefits and inherent limitations.

Speaking test anxiety is a pervasive challenge for adult English as a Foreign Language (EFL) learners, particularly in contexts where English proficiency is tied to academic and professional advancement. This empirical research study investigates the causes, contributing factors, and potential strategies to cope with speaking test anxiety among adult EFL learners in Saudi Arabia. Using a mixed-methods approach, the research combines quantitative survey data with qualitative interpretations to provide a comprehensive understanding of the phenomenon. Sixty-eight undergraduate male students, selected through purposive sampling method, participated in this research. The data were collected via standardized instruments (a modified FLCAS, and another survey instrument prepared by the researcher). Research findings reveal that cultural expectations, fear of negative evaluation, less frequency of speaking tests, and limited speaking practice contribute significantly to “the participants' speaking test” anxiety. The study bears significance in Saudi Arabian contexts as it identifies the causes of English speaking and test anxiety among adult learners and also suggests test-taking strategies to cope with test stress and related anxiety. The study concludes with pedagogical recommendations to mitigate anxiety and enhance speaking performance.

Pragmatic competence plays a crucial role in effective communication in English as a Foreign Language (EFL) contexts, yet it is often overlooked in instructional materials. This study investigates the representation and distribution of speech acts in the Speak Out English textbook series (second edition), a widely used resource in EFL classrooms. Drawing on Searle’s (1976) taxonomy, the dialogues from the Starter to Advanced levels were analyzed to assess the frequency and types of speech acts. The results revealed a significant predominance of Assertives (41.7%) and Directives (33.7%), with lower occurrences of Commissives (13.2%), Expressives (10.2%), and a minimal presence of Declaratives (1.1%). This imbalance indicates a limited pragmatic range, which may hinder learners’ communicative competence, especially in formal or professional contexts. The findings suggest that while the series supports functional communication, it falls short in fostering comprehensive pragmatic development. The study highlights the need for more balanced and contextually rich representation of speech acts in EFL textbooks. Implications for teachers, curriculum designers, and textbook developers are discussed, including the importance of integrating meta-pragmatic instruction and culturally relevant examples. This paper contributes to the growing body of research on pragmatic competence and underscores the importance of equipping EFL learners with the skills to engage in diverse communicative situations.

This study aimed to examine the cross-lingual recognition of French and English words and their pseudo-homophones to verify the presence of Grapheme-Phoneme Conversion (GPC) for the word recognition of foreign language learners. Considering the study's purposes, 100 Iranian advanced English and French learners were chosen and recruited for the study through the convenience sampling procedure. The participants' homogeneity and proficiency level were checked with the aid of an English proficiency test (McMillan Placement Test (MPT)) and a French proficiency test (Test d'Évaluation de Français (TEF)) before the examination phase. To investigate the participants' reaction times for recognizing the real words, illegal nonwords, and legal nonwords (pseudo-homophones), a computerized test was designed that sought the participants' judgments about the presented linguistic construct on the screen. The employed words were chosen according to their morphological complexity, frequency, and length from the learners' course books. Data analysis revealed that pseudo-homophones were more challenging for both English and French learners to recognize; this was shown by their higher reaction time needed for recognizing pseudo-homophones compared with the real words and the illegal nonwords. Although the occurrence of GPC for both groups was attested, it was significantly stronger for the French learners. These findings suggest that word recognition is inherently a phonological process (not an orthographic one) among foreign language learners. 

AI-assisted translation has gained increasing attention in recent years, yet its effectiveness remains underexplored. The present study sought to shed light on the role of AI (ChatGPT) in mediating translation. To this end, 46 postgraduate ESP students majoring in three sub-disciplines of politics (across three classes) were selected through convenience sampling. No outliers were identified in these classes, and each was assigned to one experimental group (AI-assisted group, N = 16; AI–Human Revised group, N = 16; Human-only Scaffolded group, N = 14). A posttest-only control group design was adopted, and each group was mediated according to its respective intervention protocol. AI was instructed to follow a graduated mediation protocol developed for the purposes of this study. The final translations were evaluated both qualitatively and quantitatively. Findings revealed that the end product of the AI-assisted group, compared with the human-involved groups, exhibited major translation deficiencies ranging from the lexico-semantic level to syntax, the syntax–semantic interface, and rhetorical patterns. Additional procedural deficiencies were also observed and reported. Furthermore, participants’ translations were assessed using a rubric, and quantitative analysis showed that both human-involved groups significantly outperformed the AI-only group.

Being rooted in imagery and metaphor, Jungian psychology suggests that metaphors are expressions of archetypal imagery. While extensive research has examined how archetypal theory informs literal metaphors across various languages, less attention has been paid to whether metaphorical conceptualizations can serve as a modality—similar to dreams or active imagination—for representing archetypes and the collective unconscious. Linguistic data from intercultural interactions are crucial for uncovering shared conceptual structures across diverse communities. This study explored the "Document on Human Fraternity for World Peace and Living Together" signed by Pope Francis and the Grand Imam of Al-Azhar as a pivotal text in contemporary interfaith dialogue. We analyzed how the processes of metaphorizing archetypes were woven into this discourse. Specifically, we investigated whether archetypes are represented within the conceptual blending processes of metaphors, how the collective unconscious is reflected in the conceptual metaphors employed in interreligious dialogue, and how these metaphors may foster shared understanding among religious leaders. Using Conceptual Blending Theory (CBT), we identified metaphorical expressions that projected archetypal content, revealing the presence of key Jungian archetypes, such as the Mother, Rebirth, Shadow, Innocent, and God-Image. Our findings indicated that significant shared conceptualizations existed between Islamic and Christian leaders, which were grounded in the collective unconscious and articulated through archetype-based conceptual metaphors.

Nadja d'André Breton est une œuvre par excellence du genre surréaliste, caractérisée par des phrases qui, dans leur structure sous-jacente, révèlent l'inconscient, l'illusion et l'imagination de l'écrivain. La présente étude, fondée sur les théories de Jean Bellemin-Noël concernant «l'inconscient du texte», vise à examiner la traduction persane de Nadja faite par Kaveh Mirabbasi. Cette étude cherche à déterminer si le traducteur a effectivement recréé les éléments psychologiques dans la langue cible, qui se manifestent par l'écriture automatique, les rêves, les libres associations et l'utilisation d'éléments contrastés à la manière des surréalistes. Pour découvrir l'inconscient de l'écrivain, nous avons ensuite analysé le texte source en se concentrant sur ces éléments ainsi que sur la structure des phrases, la répétition thématique, les métaphores, les techniques, les choix de mots et les marqueurs textuels. Une étude contrastive avec le texte cible a permis de déterminer dans quelle mesure le traducteur a recréé ces aspects. Les résultats indiquent que Mirabbasi a largement réussi à recréer l’inconscient du texte grâce à la traduction littérale.