Artificial Intelligence Applications in English News Translation: Strategies and Research

Abstract

The rapid advancement of Artificial Intelligence (AI) is significantly transforming the field of translation, especially in English news translation. This paper aims to explore the application strategies of AI in English news translation and its current research status. First, it introduces the basic concepts of AI and machine translation, reviews the development history of machine translation technology, and analyzes the unique requirements of news translation. Then, it discusses key application strategies of AI in news translation, including data collection and processing, model selection and training, translation quality assessment, and real-time translation technology. Additionally, the paper analyzes major challenges in AI applications, such as translation accuracy, cultural and contextual understanding, and data privacy and security, and proposes corresponding solutions. Finally, it explores future development trends in AI translation technology, including technological advancements, application expansion, and ethical and societal impacts. This paper aims to provide comprehensive references and in-depth insights for researchers in related fields.