25 citations · 55 across the 38 of their papers we have counts for
9 papers · 1 filter
Swivuriso: The South African Next Voices Multilingual Speech Dataset
Vukosi Marivate, Kayode Olaleye, Sitwala Mundia +19
This paper introduces Swivuriso, a 3000-hour multilingual speech dataset developed as part of the African Next Voices project, to support the development and benchmarking of automa…
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…
Mafoko: Structuring and Building Open Multilingual Terminologies for South African NLP
Vukosi Marivate, Isheanesu Dzingirai, Fiskani Banda +9
The critical lack of structured terminological data for South Africa's official languages hampers progress in multilingual NLP, despite the existence of numerous government and aca…
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Idris Abdulmumin +9
Hausa Natural Language Processing (NLP) has gained increasing attention in recent years, yet remains understudied as a low-resource language despite having over 120 million first-l…
HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation
Abdulhamid Abubakar, Hamidatu Abdulkadir, Ibrahim Rabiu Abdullahi +9
This paper presents our findings for SemEval 2025 Task 2, a shared task on entity-aware machine translation (EA-MT). The goal of this task is to develop translation models that can…
AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages
Joshua Sakthivel Raju, Sanjay S, Jaskaran Singh Walia +2
Language model compression through knowledge distillation has emerged as a promising approach for deploying large language models in resource-constrained environments. However, exi…
MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
Varun Vashisht, Samar Singh, Mihir Konduskar +2
Due to the lack of quality data for low-resource Bantu languages, significant challenges are presented in text classification and other practical implementations. In this paper, we…
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
Jenalea Rajab, Anuoluwapo Aremu, Everlyn Asiko Chimoto +12
This paper presents the Esethu Framework, a sustainable data curation framework specifically designed to empower local communities and ensure equitable benefit-sharing from their l…
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45
People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications wit…