FYLs-G2P is a hybrid G2P engine that bridges the gap between massive end-to-end models and simple dictionary lookups. It uses a contextual POS tagger, neural OOV inference, and weighted graph mapping to accurately pronounce words, including unseen words and homographs. The engine is designed for edge devices and real-time TTS, with a focus on robustness and morphological intelligence.