HomoRich: A Persian Homograph Dataset for G2P Conversion
Overview
HomoRich is the first large-scale, sentence-level Persian homograph dataset designed for grapheme-to-phoneme (G2P) conversion tasks. It addresses the scarcity of balanced, contextually annotated homograph data for low-resource languages. The dataset was created using a semi-automated pipeline combining human expertise and LLM-generated samples, as described in the paper:"Fast, Not Fancy: Rethinking G2P… See the full description on the dataset page: https://huggingface.co/datasets/MahtaFetrat/HomoRich-G2P-Persian.
