A Feature-Based Model of Human Lexical Access

Explore a comprehensive lecture examining how humans access words in their mental lexicon through a feature-based computational model. Delve into the theoretical framework that explains how distinctive phonetic features guide the process of word recognition and retrieval during speech perception. Learn about the underlying mechanisms that enable rapid and accurate lexical access, including how acoustic-phonetic features are mapped to lexical representations in memory. Discover the empirical evidence supporting feature-based approaches to understanding human language processing, and examine how this model accounts for various phenomena in speech perception and word recognition. Gain insights into the intersection of phonetics, psycholinguistics, and computational modeling as applied to fundamental questions about how the human mind processes spoken language.