Search Results for author: Chris Chinenye Emezue

Found 4 papers, 1 papers with code

MMTAfrica: Multilingual Machine Translation for African Languages

no code implementations WMT (EMNLP) 2021 Chris Chinenye 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.

Machine Translation Translation

Crowd-sourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The case of Fon Language

no code implementations1 Jan 2021 Bonaventure F. P. Dossou, Chris Chinenye Emezue

Building effective neural machine translation (NMT) models for very low-resourced and morphologically rich African indigenous languages is an open challenge.

Machine Translation Translation

FFR v1.1: Fon-French Neural Machine Translation

no code implementations WS 2020 Chris Chinenye Emezue, Femi Pancrace Bonaventure Dossou

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.

Machine Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.