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

Insights into Low-Resource Language Modelling: Improving Model Performances for South African Languages

To address the gap in natural language processing for Southern African languages, our paper presents

Hybrid LETCNN-P Transformer Architecture for Enhanced Translation of Low-Resource Languages

This research introduces an innovative method for neural machine translation (NMT) of Low-Resource L

Improving Resource Creation for Low-Resource Languages using NLP Methods

To digitize existing high-quality text belonging to a certain low-resource language, we are often fa

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

Improving machine translation accuracy for underrepresented languages in linguistic research using transformer models

Machine translation (MT) for underrepresented languages, such as Xhosa, presents significant challen

Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages