Search Results for author: Chris C. Emezue

Found 6 papers, 4 papers with code

MMTAfrica: Multilingual Machine Translation for African Languages

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.

Machine Translation Translation

Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language

no code implementations14 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.

Machine Translation NMT +1

OkwuGbé: End-to-End Speech Recognition for Fon and Igbo

4 code implementations13 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.

Machine Translation speech-recognition +1

Lanfrica: A Participatory Approach to Documenting Machine Translation Research on African Languages

no code implementations3 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.

Machine Translation Translation

FFR v1.1: Fon-French Neural Machine Translation

1 code implementation14 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.

Machine Translation NMT +1

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