2026-10-14T11:46:51Z https://www.scidb.cn/oai

10.57760/sciencedb.32698 2026-06-11T10:43:32Z

2026-06-11 Akan–English Maternal Health Parallel Corpus doi:10.57760/sciencedb.32698 en This dataset contains a curated bilingual parallel corpus developed to support domain-specific neural machine translation (NMT) for maternal health communication between Akan and English. The corpus was constructed to address the scarcity of healthcare-specific parallel data for low-resource African languages, particularly Akan.The dataset comprises 12,000 English–Akan parallel sentence pairs from maternal health content covering prenatal and postnatal care domains. Maternal health topics represented include antenatal care, childbirth preparation, maternal mental health, nutrition, vaccination, medication use, lifestyle behaviors, preventive medicine, personal hygiene, and common pregnancy-related conditions. The corpus also contains 32.313 hours of Akan audio recordings corresponding to the 12,000 sentences.This corpus was developed as part of the Ɔbaa Panin Project, which seeks to build a conversational maternal health chatbot in Akan. machine translation; Text-to-Speech; Low-Resource LLM; Akan; Low-resource languages; Natural language processing Isaac Wiafe Akosua Nyarkoa Wiafe-Akenten Akon Obu Ekpezu Fiifi Baffoe Payin Winful Evans Kwasi Mark Atta Mensah Sumaya Salihs Kelvin Nketia-Achiampong Justice Kwame Appati Gifty Odame Frank Yeboah Kwaku Owusu Osei PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank