Search Results for author: Chris Chinenye Emezue

Found 5 papers, 3 papers with code

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

1 code implementation20 Jan 2022 Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Said Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Salahudeen Abdullahi, Anuoluwapo Aremu, Alipio Jeorge, Pavel Brazdil

We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria (Hausa, Igbo, Nigerian-Pidgin, and Yor\`ub\'a ) consisting of around 30, 000 annotated tweets per language (and 14, 000 for Nigerian-Pidgin), including a significant fraction of code-mixed tweets.

Sentiment Analysis

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

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