Bidirectional probabilistic natural language rewriting and selection

A speech recognition and natural language understanding system that improves input accuracy by rewriting low-confidence tokens using forward and backward language models. Multiple candidate rewrites are generated and scored through probabilistic models and grammar parsing, with a graph-based search identifying the best result. Cached rewrites enable faster processing, and aggregated rewrite patterns help refine natural language grammars.