Аннотация
The rapid advancement of artificial intelligence (AI) technologies, such as neural networks, machine learning, and deep learning, has significantly transformed the field of translation. This article explores the transformative impact of artificial intelligence (AI) on the field of translation, focusing on key AI technologies such as neural networks, machine learning, and deep learning, and their integration into widely used tools like Google Translate and DeepL. Based on critical analysis the study examines how these technologies enhance translation accuracy and efficiency while also highlighting the limitations AI faces in handling cultural nuances, specialized terminology, and context-specific interpretations. The aim of the article is to assess both the positive and negative consequences of AI on the translation profession, addressing questions related to the future of human translators in an AI-driven industry, as well as the ethical concerns surrounding the use of AI in translation. The scientific novelty of this article lies in its comprehensive evaluation of AI technologies in translation, particularly the in-depth analysis of how transformer models like BERT and GPT have advanced the field. It also offers a critical discussion on the balance between AI automation and human oversight in maintaining translation quality. The theoretical significance of this research resides in its contribution to the understanding of AI’s evolving role in translation, offering new perspectives on the application of advanced algorithms in language processing. From a practical standpoint, the article provides valuable insights for professional translators, highlighting the new opportunities and challenges AI introduces, especially in terms of specialization, post-editing, and ethical standards.