collaborators

6 papers

cs.CL2026

Evaluating the Effect of Linguistic Relatedness on Cross-Lingual Transfer in Large Multilingual Automatic Speech Recognition

Andrei Florian, Cynthia Jayne Amol, Hope Kerubo Ombaba +6

Extending automatic speech recognition (ASR) to low-resource African languages is constrained by the prohibitive demands of data collection at scale. A promising direction is to le…

cs.CL2026

AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages

Happy Buzaaba, Cheikh Mouhamadou Bamba Dione, David Ifeoluwa Adelani +15

Despite their linguistic diversity and global significance, African languages remain underrepresented in research and resources to support NLP. We aim to bridge this gap by introdu…

cs.CL2026

Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages

Kevin Guan, Happy Buzaaba, Christiane Fellbaum

Transformer-based models achieve state-of-the-art dependency parsing for high-resource languages, yet their advantage over simpler architectures in low-resource settings remains po…

cs.CL2025

Lugha-Llama: Adapting Large Language Models for African Languages

Happy Buzaaba, Alexander Wettig, David Ifeoluwa Adelani +1

Large language models (LLMs) have achieved impressive results in a wide range of natural language applications. However, they often struggle to recognize low-resource languages, in…

cs.CL2025

INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages

Hao Yu, Jesujoba O. Alabi, Andiswa Bukula +19

Slot-filling and intent detection are well-established tasks in Conversational AI. However, current large-scale benchmarks for these tasks often exclude evaluations of low-resource…

cs.CL2025

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…