Symbolic Informalization: Fluent, Productive, Multilingual
A new paper introduces "Symbolic Informalization," a method for converting formal mathematics into human-readable natural language without losing precision. This technique is particularly useful for explaining proofs generated by artificial intelligence. The project Informath aims to implement this by using Dedukti as a central hub for various proof systems like Agda, Lean, and Rocq, while Grammatical Framework handles linguistic accuracy across multiple natural languages. AI
IMPACT Enables AI-generated mathematical proofs to be more accessible and understandable to humans.