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

Multimodal large language models for low-resource languages and Global South deployment: A comprehensive survey of architectures, benchmarks, and sociotechnical challenges

Multimodal Large Language Models (MLLMs) such as LLaVA, InstructBLIP, and Qwen2-VL have unlocked joi

Cross-Lingual Information Access in the LLM Era: Architectures, Alignment Strategies, and Open Challenges for Low-Resource Languages

Abstract The way the system is designed to help people find information in languag

Improving transformer model translation for low resource South African languages using BERT

Comparative Evaluation of RNN-based Bahdanau Attention vs Transformer Model for NMT in South African Low-Resource Languages

The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages

Efficiently and accurately translating a corpus into a low-resource language remains a challenge, re

Open but Incompatible: A License Compatibility Analysis of Corpora for Low-Resource African Languages

Creative Commons licenses dominate African NLP corpus releases, but their compatibility rules are ra