This study explores user perceptions and practical employment of ChatGPT Translation among students involved in English-Arabic translation tasks. For the quantitative part method, data were collected from a diverse assembly of 102 participants, comprising demographic queries and a constructed 20-item Likert scale questionnaire. The collected data were categorized and critically examined under five principal constructs: Efficiency, Accuracy, Ease of Use, Trustworthiness, and Overall Preference. The findings indicate a predominantly positive perception of ChatGPT among the participants. In addition, detailed analysis reveals novel insights, such as the considerable appreciation for ChatGPT's role in enhancing translation efficiency and the high level of trust expressed in its ability to maintain the confidentiality of translated work. Another significant finding is the tool's competitive edge, with participants favoring ChatGPT over other translation tools. Furthermore, the findings underscore the importance of extending the research landscape on AI-assisted translation tools. Thus, extending the research on A.I. Translation platforms fosters their effective integration into the industry and understanding of their potential impact on the future of translation pedagogy.

The Jordanian translator in the era of COVID-19 pandemic: Challenges and perspectives

Despite increased focus on the role translation plays during crises, little research has investigated the impact of global crises on translators’ psychological, physical, social, and financial wellbeing. The current study explores the impact of the Covid-19 pandemic on Jordanian translators’ wellbeing. It adopts a qualitative approach using semi-structured interviews for data collection, and thematic analysis for data analysis and theme development. The study revealed that Covid-19 has had cascading effects on the Jordanian translators’ psychological, physical, social, and financial wellbeing. The current study also suggests that Jordanian translators, due to pandemic-related restrictions and measures, have witnessed marked changes in their eating and sleeping habits as well as their physical and social activities. Consequently, Jordanian translators have resorted to positive reframing, distraction via hobbies, spending time with family and friends, and reliance on technology to reduce the negative impact of the pandemic on their wellbeing. The current study recommends further research to examine individual aspects of Jordanian translators’ wellbeing.

: The recent popularity of the fantasy genre in the Arabic world has seen increased translation activity into Arabic (De Blasio 2019). Despite this interest, scholars have focused their attention on low fantasy, with little attention to high fantasy. This study investigates book five of George R.R Martin’s novel series “A Dance with Dragons (2011), and its Arabic translation رقصة مع التنانين raqsa mc ?ltanani:n (2020) with a specific focus on Toponyms. The study uses textual analysis of the translation of book five of the novel series to determine the translation procedures used, and interviews with the official translator to understand the factors behind the translation choices in the series. The study adopts Aixelá’s 1996 model of culture-specific items (CSI) for the classification of the translation procedures. The results indicate the prevalence of two main translation procedures; conservation and substitution. The two procedures are used to strike a balance between the readability of the text, readers’ expectations, and maintaining the fantasy of the secondary world in which the narrative takes place.

Artificial Intelligence (AI) is revolutionizing translation teaching, training, and practices, yet its adoption amongst the translation studies community remains under-researched. The current study investigates Jordanian translation academics’ knowledge, attitudes and AI practices in teaching and academic research. The study employs a 5-likert scale questionnaire to explore translation academics’ awareness and attitudes about AI, their use of AI in research practices and their perception of AI use in the classroom. The study findings suggest that despite academics’ awareness of AI and its applications, they are reluctant to use it in their research practices. Furthermore, academics are hesitant to use AI in the translation classroom and more research is required to explore the underlying reasons behind this hesitation. The study recommends further research to understand the impact of AI adoption on teaching and learning, AI implications for academics and students’ training needs, and the role of higher education institutions in addressing AI within academic environments.