Artificial Intelligence in Translation Studies: Benefits and Challenges

Abstract

Translation studies has evolved rapidly in recent decades due to technological and global changes that make it easier to overcome the obstacles posed by language, culture, and context with Artificial Intelligence (AI) in the forefront of these advancements. However, translation of idiomatic and culturally sensitive expressions represent a significant risk in the use of AI. This paper therefore seeks to critically evaluate the benefits and challenges of AI in translation studies. A scoping review of existing literature suggests that AI tools harness translation processes in numerous ways including translation efficiency and speed, cost-effectiveness, high level of consistency and accuracy, and scalability. However, it is noted that AI translation contains deficiencies and technical issues originating from natural language processing.

The paper concludes that AI incorporation in the study of translation signifies great prospects and obstacles as AI translation tools are the tools that can change the way people interact with one another across cultures and languages. AI removes barriers to facilitating better communication, increased productivity, better scalability and real-time delivery. These tools are effective, especially in business, education, and the interface of international relations. Hence, it is important to state that AI translation helps make international communication more efficient, but it should be improved constantly and about cultural and ethical concerns. As AI is advanced and improved and developers, linguists, and cultural sociologists work in unison, AI could offer more precise translations that are free from bias and prejudice towards people from other cultures hence helping to connect the world.