<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/978</identifier><creators><creator><creatorName>Ogayo, Atieno Peres</creatorName></creator></creators><titles><title>Transfer Learning for Related Low Resource Neural Machine Translation: A case study on Luo Languages(Loki-MT)</title></titles><publisher>African Leadership Univerisity</publisher><publicationYear>2021</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">This paper investigates transfer learning methods for low-resource Luo languages, focusing on the similarity of the languages. The study trains a more resourced language pair (parent model) and transfers some learned parameters to the less-resourced pair (child model) to initialize and constrain training.</description></descriptions></resource>