Bridging Chess Engines and Language Models: A Novel Framework for Generating Human-Like Chess Commentary
This paper proposes a reinforcement learning (RL)-based framework that automates chess commentary generation using real-time board analysis. It combines chess engine evaluation along with natural language generation to produce strategically grounded commentary which is also linguistically fluent. The framework consists...