👉 PS Math, or Probabilistic Syntax, is a mathematical framework that combines elements of probability theory and formal language theory to analyze and model the structure of sentences in natural languages. It uses probabilistic models to assign likelihoods to different syntactic structures, allowing for the prediction of which grammatical constructions are most probable given a sequence of words. By integrating statistical methods with linguistic theory, PS Math provides a powerful tool for understanding language processing, generation, and learning, enabling applications in natural language processing, machine translation, and speech recognition. This approach captures the inherent uncertainty and variability in human language, making it particularly effective for dealing with real-world linguistic data where strict grammatical rules are often violated.
