<?xml version="1.0" encoding="UTF-8"?><record xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>English to Amharic Translation using Neural Machine Translation</dc:title><dc:creator>Edosa Leta</dc:creator><dc:publisher>African Leadership Univerisity</dc:publisher><dc:date>2021</dc:date><dc:description>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.</dc:description><dc:subject>Amharic, ancient languages, communication, english amharic translation, amharic translation neural, translation neural machine, neural machine translation, english amharic, amharic translation, translation neural</dc:subject><dc:type>Final Year Project</dc:type><dc:identifier>https://inrepscholar.com/african-leadership-univerisity/projects/983</dc:identifier><dc:rights></dc:rights></record>