Multilingual English–Nuer–Dinka–Swahili Corpus
Overview
The Multilingual English–Nuer–Dinka–Swahili Corpus is a multilingual parallel corpus created to support research in Natural Language Processing (NLP) for underrepresented African languages.
The dataset contains aligned text across English, Nuer (Thok Naath), Dinka, and Swahili, enabling research in multilingual machine translation, cross-lingual representation learning, multilingual language models, and… See the full description on the dataset page: https://huggingface.co/datasets/NaathNLP/multilingual-english-nuer-dinka-swahili-corpus.