Master the complexities of language with groundbreaking insights into ambiguity resolution. This essential volume delves into how computational and cognitive models tackle linguistic ambiguity in language learning. Explore unsupervised clustering, neural networks, and gain knowledge of syntactic, semantic, and verbal subcategorisation. Discover key acquisition models like Tag Space and Word Space, crucial for advancing natural language processing. A must-read for researchers, linguists, and AI professionals in India focused on computational linguistics and language technology innovation.