FFR v1.1: Fon-French Neural Machine Translation

• URL: http://arxiv.org/abs/2006.09217v1
• Date: Sun, 14 Jun 2020 04:27:12 GMT
• Title: FFR v1.1: Fon-French Neural Machine Translation
• Authors: Bonaventure F. P. Dossou and Chris C. Emezue
• Abstract summary: FFR project is a major step towards creating a robust translation model from Fon, a very low-resource and tonal language, to French. 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.
• Score: 0.012691047660244334
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 at https://github.com/ bonaventuredossou/ffr-v1, to promote collaboration and reproducibility.

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