48 citations · 57 across the 25 of their papers we have counts for
13 papers · 1 filter
Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review
Sukairaj Hafiz Imam, Tadesse Destaw Belay, Kedir Yassin Husse +7
ASR has achieved remarkable global progress, yet African low-resource languages remain rigorously underrepresented, producing barriers to digital inclusion across the continent wit…
Evaluation Sheet for Deep Research: A Use Case for Academic Survey Writing
Israel Abebe Azime, Tadesse Destaw Belay, Atnafu Lambebo Tonja
Large Language Models (LLMs) powered with argentic capabilities are able to do knowledge-intensive tasks without human involvement. A prime example of this tool is Deep research wi…
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…
Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages
Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow +2
Large language models (LLMs) have demonstrated significant capabilities in solving mathematical problems expressed in natural language. However, multilingual and culturally-grounde…
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew +4
Homophone normalization, where characters that have the same sound in a writing script are mapped to one character, is a pre-processing step applied in Amharic Natural Language Pro…
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +18
We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource an…
Whispering in Amharic: Fine-tuning Whisper for Low-resource Language
Dawit Ketema Gete, Bedru Yimam Ahmed, Tadesse Destaw Belay +11
This work explores fine-tuning OpenAI's Whisper automatic speech recognition (ASR) model for Amharic, a low-resource language, to improve transcription accuracy. While the foundati…
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages
Ibrahim Said Ahmad, Shiran Dudy, Tadesse Destaw Belay +4
Understanding how emotions are expressed across languages is vital for building culturally-aware and inclusive NLP systems. However, emotion expression in African languages is unde…
Enhancing Multi-Label Emotion Analysis and Corresponding Intensities for Ethiopian Languages
Tadesse Destaw Belay, Dawit Ketema Gete, Abinew Ali Ayele +4
Developing and integrating emotion-understanding models are essential for a wide range of human-computer interaction tasks, including customer feedback analysis, marketing research…
AfroXLMR-Social: Adapting Pre-trained Language Models for African Languages Social Media Text
Tadesse Destaw Belay, Israel Abebe Azime, Ibrahim Said Ahmad +5
Language models built from various sources are the foundation of today's NLP progress. However, for many low-resource languages, the diversity of domains is often limited, more bia…
CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding
Tadesse Destaw Belay, Ahmed Haj Ahmed, Alvin Grissom +4
NLP research has increasingly focused on subjective tasks such as emotion analysis. However, existing emotion benchmarks suffer from two major shortcomings: (1) they largely rely o…
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele +24
Hate speech and abusive language are global phenomena that need socio-cultural background knowledge to be understood, identified, and moderated. However, in many regions of the Glo…
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding
Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele +5
Large Language Models (LLMs) show promising learning and reasoning abilities. Compared to other NLP tasks, multilingual and multi-label emotion evaluation tasks are under-explored…