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FFR v1.1: Fon-French Neural Machine Translation

2020-06-14 04:27:12
Bonaventure F. P. Dossou, Chris C. Emezue
arXiv_CL
     
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 this https URL bonaventuredossou/ffr-v1, to promote collaboration and reproducibility.

Abstract (translated)

URL

https://arxiv.org/abs/2006.09217

PDF

https://arxiv.org/pdf/2006.09217.pdf

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