dayomtechnologies/multilingual-english-nuer-dinka-swahili-corpus
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/dayomtechnologies/multilingual-english-nuer-dinka-swahili-corpus.
This repository is gated. The listing is public, but downloading a file means accepting the publisher’s terms at Hugging Face first — the links above take you there rather than around it.