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The present study explored the effectiveness of Google Docs as a cloud-based technology in enhancing the complexity, accuracy, and fluency (CAF) facets of writing competence. Forty-nine Iranian EFL learners, majoring in English, from two intact classes participated in the study. The classes were randomly assigned to the Google Docs (GD) group and the Conventional Teaching group (CT) after their proficiency levels were identified. The GD group (n=25) used the Google Docs writing instruction platform, while the CT group (n=24) received traditional writing instruction. Furthermore, ten students from the Google Docs group participated in semi-structured interviews to express their perceptions of the treatment they received. A mixed-methods design, incorporating Multiple Analysis of Covariance (MANCOVA) and theme-based analysis, was employed to assess quantitative and qualitative outcomes. The findings indicated that the GD group demonstrated a significantly improved ability in CAF writing compared to the CT group. The interviews revealed several important themes, including the positive experiences associated with collaborative writing through Google Docs, the convenience and flexibility of real-time collaboration, and the effectiveness of peer support in enhancing writing competence. Additionally, the teacher’s role as a facilitator was found to be crucial. Overall, the results suggested that the interactive attribute of Google Docs, combined with peer correction and editing, noticeably supports more sophisticated and accurate writing skills.

Various articles have addressed the field of audiovisual translation and its related issues, but the pragmatic aspects of this area have not been addressed as they should be. As pragmatic issues are mainly covert in dialogues, and films are dialogue-oriented, it is crucial to consider these aspects in this area. Implicature is one of these hidden aspects of meaning which challenges the translators’ knowledge and competency. Sometimes ignoring this pragmatic aspect results in misinterpreting the intended meaning of the original version, whether it is a text or a film. Therefore, the present study intends to examine the translation of implicatures and their intricacies in Persian dubbing. To this end, four American films (Notting hill, The bucket list, The ultimate gift and Still Alice) were selected, all of which had been dubbed into Persian. All parts of these films were analyzed to determine whether there is any mismatch between original and dubbed versions in terms of this pragmatic aspect. The translation techniques and their frequency of occurrences which were applied to translate this pragmatic aspect are illustrated too. The results indicate that there are mismatches between the original and dubbed versions in terms of implicature, and the most frequent number of mismatches refers to scalar implicatures. Conventional and conversational implicatures follow it respectively. Moreover, deletion is the most frequent translation strategy which was applied to render this pragmatic aspect.

This study examined the impact of AI-driven feedback on the writing complexity of Iranian intermediate EFL learners using a quasi-experimental design. Through convenience sampling, 100 participants (male and female, aged 18-25) from two language institutes in Tehran were divided into four groups: two experimental groups receiving direct and indirect feedback from AI ChatGPT, and two control groups receiving the same feedback types from their teacher. Participants completed a pre-test, ten writing tasks over 14 weeks, and a post-test. Results, analyzed via descriptive statistics and one-way ANOVA, indicated notable improvements in writing complexity across all groups. The AI direct feedback group showed the highest improvement, with a mean difference of 5.24 (p < 0.05), followed by the teacher direct feedback group, which also demonstrated significant gains. The AI indirect feedback group exhibited moderate progress, while the teacher indirect feedback group showed the least improvement. Analysis of syntactic measures revealed that AI feedback, particularly direct feedback, effectively enhanced sentence structures and encouraged the use of more sophisticated vocabulary. These findings highlight AI-driven feedback’s potential to enhance EFL learners’ writing complexity, with direct feedback yielding the greatest benefits.

The present study aimed to examine kinetic units, implicature, and coherence in Persian audio descriptions. To this end, 10 Persian audio-described movies, totaling 1,004 minutes, were analyzed, and their audio descriptions (ADs) were documented, resulting in 3,485 records. These records were filtered for descriptions related to characters’ movements, yielding 2,095 ADs, which were analyzed in three phases. First, the type of kinetic unit in each AD was identified. Second, the implicature of kinetic units was examined to determine whether it was included in the ADs or ignored. The final phase addressed coherence in ADs. The results revealed that gesture was the most frequent kinetic unit in Persian ADs, followed by manner and posture. Moreover, 96% of kinetic units lacked implicature, and only 2.5% of implicatures related to characters’ movements were ignored in audio descriptions, which does not raise serious concerns about accessibility for blind and visually impaired audiences. Regarding coherence, 97% of Persian ADs were found to be coherent, highlighting the substantial accessibility they provide to their target audience. However, accessibility was not solely contingent upon linguistic and pragmatic factors. Technical challenges, such as background music overshadowing ADs, posed additional barriers to media accessibility.

This study explores the utilization of lexical bundles (LBs) in the reading sections of international English proficiency tests, specifically IELTS and TOEFL, in comparison with Iranian local assessments such as MSRT, TOLIMO, and EPT. The research aims to analyze both the structural and functional categories of these LBs. To facilitate this investigation, two distinct corpora were compiled, consisting of 513,490 tokens from international assessments and 432,252 tokens from local Iranian tests. Utilizing AntConc software for quantitative analysis, the study identified LBs and conducted a qualitative examination of their structural patterns, functional roles, and contextual applications. The findings reveal significant differences between the international and local assessments: 1,030 instances of LBs were identified in the International Corpus (IC), whereas the Local Corpus (LC) contained only 564. Inferential statistical analysis indicated a higher prevalence of discourse organizers and stance bundles in the IC, contrasted with a predominance of referential bundles in the LC. Furthermore, international assessments featured mainly noun-phrase fragments, unlike the Iranian ones that predominantly used prepositional-phrase fragments. Statistical tests, including the Linear-by-Linear Association test (p=0.028) and the Chi-square test (χ²(2)=28.803, p<0.001), confirmed these structural variations, suggesting divergent academic discourse conventions between the corpora. The results underscore the need for revisions in Iranian assessments to align with international standards, potentially enhancing global academic proficiency and fostering greater learner engagement in higher education contexts.

This research explores political and media silence as a strategic communication device in political speeches, media interviews, and online media, using a multi-dimensional research methodology involving discourse analysis, acoustic recordings, and perception surveys. Through discourse analysis of a large dataset including 300 hours of political speeches, 200 media interviews, and 50 hours of online media, the research maps silence as a strong, convincing, and ideological device. Political speeches use longer but less frequent pauses for rhetorical effect while media interviews use shorter but more frequent silences in an attempt to evade uncomfortable questions. Silence in new media is found as a means of algorithmic manipulation. Surveys in six countries show large differences in how silence is understood; American respondents identify it as strategic while Japanese respondents consider it evasive or cheating. Hiding behind conventional linguistic theories assuming silence is a communicative absence, this research posits instead that silence is an active and discourse-dependent discourse device. Implications in media literacy and internet governance are also outlined with a call for greater openness in algorithmic modulations and a rhetorical awareness of silence.

Language, as the main tool of human communication, has diverse structures and features that play an important role in the transmission of meaning and social interactions. One of the important approaches in language analysis is functional grammar or systemic functional grammar, which examines how language functions in different situations. In this framework, grammatical metaphor is considered as one of the key concepts that can play an important role in shaping and representing meanings in different texts. Halliday introduced and distinguished three types of grammatical metaphors, including ideational, interpersonal, and textual metaphors. In this study, the extent and way of using grammatical metaphors in literary and scientific texts in the Azeri language from an interpersonal perspective was investigated. For this purpose, the analytical-descriptive research method was used. In this study, for the scientific genre, the book "Dil and Dilchilik" by Ali Dashkin and for the literary genre, selected articles from the magazine "Anna Varlig" were selected as the data and analyzed. The results showed that there was no significant difference in the use of interpersonal grammatical metaphors in the two genres of science and literature. Furthermore, the examination of the components indicated a significant difference in the use of grammatical metaphors of mode and modality between the two genres; so that modality was used significantly more in science texts than in literary texts, and mode was used more in literary texts than in science texts.

This study focused on Iranian EFL learners’ learning styles and their willingness to communicate (WTC) in the classroom as two critical factors causing individual differences in language learners. A sample of 175 Iranian EFL learners studying at elementary, intermediate, and advanced levels at the University of Tehran Language Center participated in this study. The participants were asked to fill out two Likert-type questionnaires of the Willingness to Communicate and the Perceptual Learning Style Preference Questionnaire (PLSPQ). The findings of this study demonstrated that Iranian EFL learners prefer kinesthetic learning style above all others. Moreover, the findings indicated that there is a significant, albeit low, relationship between Iranian EFL learners’ learning styles and their willingness to communicate in the classroom. Furthermore, it was revealed that while Iranian EFL learners’ learning styles are not significantly different across different levels of language proficiency, there is a significant difference in their levels of willingness to communicate in the classroom.

The present study explores the occupational prestige of the translation profession from both practicing and prospective translators’ viewpoints. The sample of the study included 142 translators and 115 prospective translators (translation students), who completed a survey on the occupational prestige of translation in Iran. The research incorporated two questionnaires as the instruments of the study. The first instrument was the general format of Dam and Zethsen’s (2008, 2011) Translators’ Assessment of the Occupational Prestige of Translation Checklist (henceforth TAOPT). For the second group, the questionnaire prepared by Ruokonen and Svahn (2022) was adapted and used. Based on the findings of the study, translation can be perceived as an art that draws on the knowledge, wisdom, and expertise of translators to provide the best translated target version of the materials. The results of the study disclose that while the participating prospective translators (translation students) perceived translation as a highly prestigious occupation, the majority of practicing translators displayed a more moderate perception of translation as a prestigious occupation. It was also found that participants considered translation’s occupational prestige to be strongly and consistently affected by various factors. It was concluded that translation as a profession requires evolutionary steps on the part of translators and related agencies and organizations in order to elevate the status of the field into a more prestigious and professional domain.

The control construction has attracted the attention of a considerable number of linguists since the early development of generative grammar. The present study examines the properties of PRO in Persian, adopting the syntactic approach developed in Kim’s (2003) theory of Merge Control within the minimalist framework. According to this theory, the control construction is fundamentally based on the theta-domain relation between PRO and its controller. The findings indicate that Kim’s theory of Merge Control addresses certain issues related to promise verbs, which challenge two key properties of PRO, namely, the locality and C-command conditions. Within this framework, there is no need to distinguish between obligatory and non-obligatory control; instead, the distinction should be made between complement and adjunct control clauses. Consequently, the violation of the proposed properties of PRO in Persian is resolved because the theory accounts for the objects of promise verbs in control constructions as adjuncts rather than complements. As a result, such objects are neither theta-marked by the promise verbs nor passivized, and they do not function as the controller of PRO.

The COVID-19 pandemic prompted significant transformations in education systems globally. Consequently, this qualitative ethnographic study aimed to analyze the evolution of attitudes among English as a Foreign Language (EFL) learners through the lens of language socialization (LS). Additionally, the study explored the evolution of the COVID-19 pandemic on the LS of Iranian EFL learners within cyberspace through prolonged engagement and triangulated data collection, including classroom observations, semi-structured interviews, researcher field notes, audio recordings, and student journals. This approach allowed for a holistic understanding of the Iranian culture from participants' perspectives. A triangulation of data was collected, comprising class observations, semi-structured interviews, researcher notes, audio recordings, and student journals. The Data analysis was conducted using MAXQDA Analytic Pro 2020. Based on the seven principles of LS, the results identified eight categories: cultural familiarity, cultural differences, the influence of foreign culture, changes in identity and behavior, online class recording, online learning, self-efficacy, and participation in virtual groups. Ultimately, this study concluded that language and culture are intrinsically intertwined and that learners' engagement with language and culture adversely impacts their socialization within the English language and culture. Furthermore, online classes were found to enhance learners' self-efficacy while reducing anxiety levels. The findings equip EFL educators with strategies for fostering adaptive language socialization during crises, while offering learners tools to navigate disruptions through reflection and virtual communities. Additionally, they guide researchers in studying attitude evolution ethnographically and urge material developers to integrate psychosocial elements into language resources for volatile environments.