Abstract
The intersection of intelligent computing and linguistics has emerged as a vibrant field of study, offering
innovative solutions and applications that transform how we understand and interact with language. This
paper explores the diverse applications of intelligent computing in linguistics, encompassing natural
language processing (NLP), computational linguistics, language modeling, speech recognition, and
more. It delves into the underlying technologies, methodologies, and the impact of these advancements
on various linguistic subfields. Through an extensive review of recent literature, case studies, and
practical examples, this paper aims to provide a comprehensive overview of the current state and future
prospects of intelligent computing in linguistics.