Artificial Intelligence (AI) and Natural Language Processing (NLP) have revolutionized human-computer interaction by breaking language barriers and enabling seamless communication across different languages. These technologies enhance real-time translation, speech recognition, and multilingual text processing, making information more accessible globally. This article explores how AI-driven NLP is transforming communication, discusses the challenges it faces, and examines future developments. The study highlights the role of deep learning models, machine translation, and conversational AI in bridging linguistic gaps. The findings suggest that while AI has significantly improved cross-language communication, ethical concerns and accuracy remain key areas for further development.

Artificial intelligence, natural language processing, machine translation, deep learning, speech recognition, multilingual AI, cross-language communication

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