no code implementations • 26 Apr 2024 • Hailay Teklehaymanot, Dren Fazlija, Niloy Ganguly, Gourab K. Patro, Wolfgang Nejdl
The absence of explicitly tailored, accessible annotated datasets for educational purposes presents a notable obstacle for NLP tasks in languages with limited resources. This study initially explores the feasibility of using machine translation (MT) to convert an existing dataset into a Tigrinya dataset in SQuAD format.