Transformers for Low-Resource African Languages Transformer Architectures and the Self-Attention Mechanism for Low-Resource African Languages: A Survey of Approaches, Benchmarks, and Open Challenges

2026

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Authors: Ngankeu Takou

DOI: 10.13140/rg.2.2.30607.65441

Cited by: 0

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Speech Recognition and Synthesis