7 papers
From Speech to Text Corpora: Evaluating ASR-Based Data Acquisition for Low-Resource Fongbe and Hausa
Mahounan Pericles Adjovi, Victor Olufemi, Roald Eiselen +1
Low-resource African languages lack text corpora needed for language model training. We investigate whether ASR pipelines can extend text resources for two typologically distinct W…
Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability
Mahounan Pericles Adjovi, Roald Eiselen, Prasenjit Mitra
We investigate the translation quality of current large language models (LLMs) for English-to-Hausa and English-to-Fongbe - two typologically distinct West African languages from t…
When Does Data Augmentation Help? Evaluating LLM and Back-Translation Methods for Hausa and Fongbe NLP
Mahounan Pericles Adjovi, Roald Eiselen, Prasenjit Mitra
Data scarcity limits NLP development for low-resource African languages. We evaluate two data augmentation methods -- LLM-based generation (Gemini 2.5 Flash) and back-translation (…
Mining Large Language Models for Low-Resource Language Data: Comparing Elicitation Strategies for Hausa and Fongbe
Mahounan Pericles Adjovi, Roald Eiselen, Prasenjit Mitra
Large language models (LLMs) are trained on data contributed by low-resource language communities, yet the linguistic knowledge encoded in these models remains accessible only thro…
A Survey of Text and Speech Resources for Hausa and Fongbe: Availability, Quality, and Gaps for NLP Development
Mahounan Pericles Adjovi, Victor Olufemi, Roald Eiselen +1
This survey provides a comprehensive catalog of publicly available text and speech resources for two West African languages: Hausa, an Afroasiatic language with approximately 80-10…
Budget-Xfer: Budget-Constrained Source Language Selection for Cross-Lingual Transfer to African Languages
Tewodros Kederalah Idris, Roald Eiselen, Prasenjit Mitra
Cross-lingual transfer learning enables NLP for low-resource languages by leveraging labeled data from higher-resource sources, yet existing comparisons of source language selectio…