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## Dataset: HomoRich G2P Persian

The models in this repository were fine-tuned on HomoRich, the first large-scale public Persian homograph dataset for grapheme-to-phoneme (G2P) tasks, resolving pronunciation/meaning ambiguities in identically spelled words. Introduced in "Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models", the dataset is available [here](https://huggingface.co/datasets/MahtaFetrat/HomoRich).
The models in this repository were fine-tuned on HomoRich, the first large-scale public Persian homograph dataset for grapheme-to-phoneme (G2P) tasks, resolving pronunciation/meaning ambiguities in identically spelled words. Introduced in "Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models", the dataset is available [here](https://anonymous.4open.science/r/HomoRich-G2P-Persian/) (TODO: Update link).

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* [Paper PDF](#) (TODO: link to paper)
* [Base GE2PE Paper](https://aclanthology.org/2024.findings-emnlp.196/)
* [Base GE2PE Model](https://github.com/Sharif-SLPL/GE2PE)
* [HomoRich Dataset](https://huggingface.co/datasets/MahtaFetrat/HomoRich-G2P-Persian)
* [HomoRich Dataset](https://anonymous.4open.science/r/HomoRich-G2P-Persian/) (TODO: To be updated)
* [SentenceBench Persian G2P Benchmark](https://huggingface.co/datasets/MahtaFetrat/SentenceBench)

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