1 code implementation • WMT (EMNLP) 2021 • Chris C. Emezue, Bonaventure F. P. Dossou
In this paper, we focus on the task of multilingual machine translation for African languages and describe our contribution in the 2021 WMT Shared Task: Large-Scale Multilingual Machine Translation.
no code implementations • 14 Mar 2021 • Bonaventure F. P. Dossou, Chris C. Emezue
Building effective neural machine translation (NMT) models for very low-resourced and morphologically rich African indigenous languages is an open challenge.
4 code implementations • 13 Mar 2021 • Bonaventure F. P. Dossou, Chris C. Emezue
Our linguistic analyses (for Fon and Igbo) provide valuable insights and guidance into the creation of speech recognition models for other African low-resourced languages, as well as guide future NLP research for Fon and Igbo.
no code implementations • 3 Aug 2020 • Chris C. Emezue, Bonaventure F. P. Dossou
Over the years, there have been campaigns to include the African languages in the growing research on machine translation (MT) in particular, and natural language processing (NLP) in general.
1 code implementation • 14 Jun 2020 • Bonaventure F. P. Dossou, Chris C. Emezue
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.
1 code implementation • 26 Mar 2020 • Bonaventure F. P. Dossou, Chris C. Emezue
Africa has the highest linguistic diversity in the world.