activity
20202026
most citedMasakhane -- Machine Translation For Africa

24 citations · 34 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

An empirical investigation into the properties of standard word embeddings

Salomon Kabongo

The embedding of word sequences into continuous vector spaces has been one of the most important developments in Natural Language Processing in the recent past. Such embeddings hav…

cs.CL2024★ 3 cited

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime +24

Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource lang…

cs.CL2023

ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph

Salomon Kabongo, Jennifer D'Souza, Sören Auer

The purpose of this work is to describe the Orkg-Leaderboard software designed to extract leaderboards defined as Task-Dataset-Metric tuples automatically from large collections of…

cs.CL2023

Zero-shot Entailment of Leaderboards for Empirical AI Research

Salomon Kabongo, Jennifer D'Souza, Sören Auer

We present a large-scale empirical investigation of the zero-shot learning phenomena in a specific recognizing textual entailment (RTE) task category, i.e. the automated mining of…

eess.AS2022

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Josh Meyer, David Ifeoluwa Adelani, Edresson Casanova +16

BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single sp…

cs.CL2021

Automated Mining of Leaderboards for Empirical AI Research

Salomon Kabongo, Jennifer D'Souza, Sören Auer

With the rapid growth of research publications, empowering scientists to keep oversight over the scientific progress is of paramount importance. In this regard, the Leaderboards fa…

cs.CL2020★ 7 cited

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45

Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a compl…

cs.CL2020★ 24 cited

Masakhane -- Machine Translation For Africa

Iroro Orife, Julia Kreutzer, Blessing Sibanda +22

Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is du…