The Impact of Machine Translation on Human Translation: Opportunities and Obstacles

Abstract Machine translation (MT) has emerged as a fundamental component of international discourse, enabling the instantaneous conversion of extensive quantities of information across linguistic boundaries. This article investigates the prospects and obstacles introduced by the proliferation of MT in relation to human translation. By analyzing the advantages in efficiency and accessibility provided by MT, while concurrently addressing concerns regarding quality and its ramifications for the labor market, this study presents a comprehensive assessment of the transformative influence of technological advancements on the translation sector. Primary data were obtained through qualitative interviews conducted with professional translators, in conjunction with an extensive review of existing scholarly literature. The results underscore a complex perspective: although MT presents considerable advantages, it is incapable of entirely supplanting the indispensable human element that is essential for proficient translation. This study analyzes the distinct linguistic challenges of Arabic, including (Modern Standard Arabic versus regional dialects), cultural and religious localization, and right-to-left technical constraints, through five sector-specific case studies that are: healthcare, legal, and media domains.