MahtaFetrat/HomoRich-G2P-Persian
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… See the full description on the dataset page: https://huggingface.co/datasets/MahtaFetrat/HomoRich-G2P-Persian.
| Author / organization | MahtaFetrat |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 351 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 30 December 2024 |
| Last updated at source | 12 September 2025 |
Popularity, last 3 days
351 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mehdi-hf/Homo-GE2PE-Persian-HFModel · used to train
- abreza/persian-ezafe-albertModel · used to train
Recent changes
- 16 Oct 2026 Description: 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, co → 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, co
Changes detected by Silytics between refreshes of the source.
More from MahtaFetrat
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.