Advancements in Natural Language Processing for Smart Computing Systems

Abstract

Natural Language Processing (NLP) has become a cornerstone of artificial intelligence and smart computing, enabling machines to understand, interpret, and generate human language with increasing sophistication. This paper examines the advancements in NLP technologies, including transformer-based architectures such as BERT, GPT, and T5, which have significantly improved contextual understanding, semantic analysis, and conversational accuracy. The study investigates applications of NLP in virtual assistants, sentiment analysis, automated translation, and information retrieval. Additionally, the paper highlights the integration of NLP into smart computing systems that facilitate human-computer interaction across industries including education, finance, healthcare, and governance. The challenges of linguistic diversity, computational cost, algorithmic bias, and ethical concerns are discussed. The research demonstrates that NLP-powered smart computing systems are not only enhancing communication but also shaping the future of intelligent interaction between humans and machines.

KEYWORDS: Natural Language Processing; Smart Computing; HumanComputer Interaction; AI Communication; Language Models