The Ghanaian NLP Landscape: A First Look

2024/05/10 by Sheriff Issaka, Issaka, Sheriff, Zhaoyi Zhang +11 · 2 citations
Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Wikis in Education and Collaboration

paper · pdf · doi:10.48550/arxiv.2405.06818

openalex publication_date 2024/05/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Despite comprising one-third of global languages, African languages are critically underrepresented in Artificial Intelligence (AI), threatening linguistic diversity and cultural heritage. Ghanaian languages, in particular, face an alarming decline, with documented extinction and several at risk. This study pioneers a comprehensive survey of Natural Language Processing (NLP) research focused on Ghanaian languages, identifying methodologies, datasets, and techniques employed. Additionally, we create a detailed roadmap outlining challenges, best practices, and future directions, aiming to improve accessibility for researchers. This work serves as a foundational resource for Ghanaian NLP research and underscores the critical need for integrating global linguistic diversity into AI development.

Cited by

• The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
• MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning

Related

• NLP for Ghanaian Languages
• Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
• The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
• Towards Afrocentric NLP for African Languages: Where We Are and Where We\n Can Go
• Bridging Gaps in Natural Language Processing for Yorùbá: A Systematic Review of a Decade of Progress and Prospects