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Akan–English Maternal Health Parallel Corpus Akan–English Maternal Health Parallel Corpus

Domaine:

natural language processinghealthcare

Type de record:

dataset
Créateur:
WiaAkoAkoFii
Éditeur:
Sci
Hôte:avatar
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. 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.

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