NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic

NeuroNL2LTL is a neurosymbolic architecture that unifies learned translation with formal verification to translate natural language into Linear Temporal Logic. It employs verifier-in-the-loop training, where verification outcomes serve as reward signals for reinforcement learning, optimizing for formal correctness.