Stochastic semantic analysis is an approach to natural language understanding that uses probabilistic models to represent and analyze semantic units. It aims to infer meaning from patterns in language data under uncertainty.
An approach used in computer science as a semantic component of natural language understanding. Stochastic models generally use the definition of segments of words as basic semantic units for the semantic models, and in some cases involve a two layered approach.