Latent Semantic Analysis

A natural language processing technique that uses mathematical methods (Singular Value Decomposition) to identify patterns in relationships between words and concepts within a large corpus of text. In accessibility applications, LSA enables context-aware word prediction by understanding semantic relationships—when a user writes about "cooking," the system can predict related words like "recipe" or "ingredients" even if those words haven't appeared recently. This semantic understanding helps AAC systems provide more relevant suggestions beyond simple statistical patterns.