<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/983</identifier><creators><creator><creatorName>Edosa Leta</creatorName></creator></creators><titles><title>English to Amharic Translation using Neural Machine Translation</title></titles><publisher>African Leadership Univerisity</publisher><publicationYear>2021</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">Ethiopia's primary language, Amharic, is a low-resource language with limited translated content. Researchers have used a machine translation toolkit called Joeynmt to train data and translate sentences. The only available dataset is the Bible translation, which is insufficient.</description></descriptions></resource>