Resource Sufficient Data Generation Technique for Machine Translation Models Using Named Entity Transliteration and Cross- Lingual Word Embeddings
Machine translation offers speed and cost advantages, but human translation remains superior in quality and contextual understanding. For low-resource languages like Hausa, the severe scarcity of parallel data leads to poor model performance, overfitting, and inadequate handling of named entities. While existing synthe...