The technology underlying real-time translation services primarily involves machine learning and natural language processing (NLP). These technologies analyze and interpret text and speech in different languages, enabling instantaneous translation. Machine learning models are trained on vast datasets to improve accuracy and context understanding over time. Additionally, advancements in artificial intelligence (AI) have further enhanced the capabilities of these systems, enabling them to recognize idiomatic expressions and nuances in various languages.