{
 "id": "FrancophonIA/FFR",
 "owner": "FrancophonIA",
 "name": "FFR",
 "downloads": 28,
 "likes": 0,
 "last_modified": "2025-03-30T14:42:45.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
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 "licence_name": null,
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 "tasks": [
  "translation"
 ],
 "citation": "@inproceedings{emezue-dossou-2020-ffr,\n    title = \"{FFR} v1.1: {F}on-{F}rench Neural Machine Translation\",\n    author = \"Emezue, Chris Chinenye  and\n      Dossou, Femi Pancrace Bonaventure\",\n    editor = \"Cunha, Rossana  and\n      Shaikh, Samira  and\n      Varis, Erika  and\n      Georgi, Ryan  and\n      Tsai, Alicia  and\n      Anastasopoulos, Antonios  and\n      Chandu, Khyathi Raghavi\",\n    booktitle = \"Proceedings of the Fourth Widening Natural Language Processing Workshop\",\n    month = jul,\n    year = \"2020\",\n    address = \"Seattle, USA\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2020.winlp-1.21\",\n    doi = \"10.18653/v1/2020.winlp-1.21\",\n    pages = \"83--87\",\n    abstract = \"All over the world and especially in Africa, researchers are putting efforts into building Neural Machine Translation (NMT) systems to help tackle the language barriers in Africa, a continent of over 2000 different languages. However, the low-resourceness, diacritical, and tonal complexities of African languages are major issues being faced. The FFR project is a major step towards creating a robust translation model from Fon, a very low-resource and tonal language, to French, for research and public use. In this paper, we introduce FFR Dataset, a corpus of Fon-to-French translations, describe the diacritical encoding process, and introduce our FFR v1.1 model, trained on the dataset. The dataset and model are made publicly available, to promote col",
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 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "d25a00ad560d35574f47fb232de4f11bdf33c7c6",
 "stated_evidence": "https://huggingface.co/datasets/FrancophonIA/FFR/blob/d25a00ad560d35574f47fb232de4f11bdf33c7c6/README.md",
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}