Transformer Model Based on Cross-Language Migration for Low-Resource Hausa News Classification

A Transformer-Based Language Model for Sentiment Classification and Cross-Linguistic Generalization: Empowering Low-Resource African Languages

News Text Classification for Wolaita Language Using Transformer-based Model and Deep Learning Approach

Amharic News Topic Classification: Dataset and Transformer-Based Model Benchmarks

News Classification in Low‐Resource Languages: Insights From Transformer and Baseline Models

ABSTRACT News text classification in low‐resource languages

Transformer Based Abstractive Text Summarization for Hausa: A Low Resource NLP Approach

The rapid proliferation of digital text across online platforms has created an urgent need for autom

On Optimal Transformer Depth for Low-Resource Language Translation

Transformers have shown great promise as an approach to Neural Machine Translation (NMT) for low-resource languages. However, at the same time, transformer models remain difficult to optimize and require careful tuning of hyper-parameters to be useful in this setti