Benjamin Batte (U the Cumberlands (formerly Cumberland College)) has posted “Exploring the Link Between NLP and AI” on SSRN. Here is the abstract:
This paper explores the symbiotic relationship between Natural Language Processing (NLP) and Artificial Intelligence (AI), highlighting how NLP, as a subfield of AI, enhances machine understanding of human language. The discussion begins with foundational definitions and traces how NLP supports core AI functions like learning, reasoning, and decision-making through linguistic comprehension. Advances in deep learning, transformer architectures, and attention mechanisms have accelerated NLP capabilities, enabling real-time dialogue systems, multilingual applications, and domain-specific innovations in areas like healthcare, education, and cybersecurity. Despite these advancements, challenges such as data bias, cultural ambiguity, and ethical concerns persist. The paper emphasizes the need for transparency, fairness, and multimodal integration to ensure responsible AI deployment. Through a multidisciplinary lens, it argues that the future of intelligent systems hinges on the continued integration of NLP’s linguistic depth with AI’s adaptive intelligence.