AI and Neural Networks for Real-Time Translation Services

Abstract

Real-time translation services are transforming global communication by breaking down language barriers in various sectors, including business, healthcare, and education. Artificial intelligence (AI) and neural networks have significantly advanced the capabilities of real-time translation systems, enabling faster, more accurate, and context-aware translations. This article explores the use of AI and neural networks in real-time translation, focusing on neural machine translation (NMT) models, speech recognition, and multimodal translation systems. Additionally, the article discusses the challenges, benefits, and future directions for AI-powered translation technologies