activity
20212026
most citedAfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

48 citations · 67 across the 11 of their papers we have counts for

collaborators

12 papers

math.GR2026

Ordered frequency in relatively hyperbolic groups

Dominic Bair

We study word frequencies along infinite strings whose finite prefixes lie in a regular language of geodesic representatives of group elements. Let \((G,\mathcal H)\) be a non-elem…

cs.CL2026

AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation

Idris Abdulmumin, Tajuddeen Gwadabe, Shamsuddeen Hassan Muhammad +11

The dominance of colonial languages in African education and scientific communication limits how hundreds of millions of speakers of African languages access and produce scientific…

cs.CL2025

The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis

Tadesse Destaw Belay, Kedir Yassin Hussen, Sukairaj Hafiz Imam +11

Natural Language Processing (NLP) is undergoing constant transformation, as Large Language Models (LLMs) are driving daily breakthroughs in research and practice. In this regard, t…

cs.CL2024

Correcting FLORES Evaluation Dataset for Four African Languages

Idris Abdulmumin, Sthembiso Mkhwanazi, Mahlatse S. Mbooi +7

This paper describes the corrections made to the FLORES evaluation (dev and devtest) dataset for four African languages, namely Hausa, Northern Sotho (Sepedi), Xitsonga, and isiZul…

cs.CL2023★ 1 cited

MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages

Cheikh M. Bamba Dione, David Adelani, Peter Nabende +41

In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these…

cs.CL2023★ 8 cited

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera +49

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingu…

cs.CL2023★ 4 cited

MasakhaNEWS: News Topic Classification for African languages

David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62

African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are…

cs.CL2023★ 48 cited

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele +23

Africa is home to over 2,000 languages from more than six language families and has the highest linguistic diversity among all continents. These include 75 languages with at least…

cs.CL2022★ 3 cited

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42

African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…

cs.CL2022★ 2 cited

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi +8

We participated in the WMT 2022 Large-Scale Machine Translation Evaluation for the African Languages Shared Task. This work describes our approach, which is based on filtering the…

cs.CL2022★ 1 cited

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42

Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these dat…

cs.CL2021

MasakhaNER: Named Entity Recognition for African Languages

David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58

We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…