Transfer Learning for Related Low Resource Neural Machine Translation: A case study on Luo Languages(Loki-MT)Ogayo, Atieno PeresAfrican Leadership Univerisity2021This 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.Transfer learning, Neural Machine Translation, Machine Translation, Cross-lingual Transfer, transfer learning related, learning related low, related low neural, low neural machine, machine translation luo, translation luo languagesFinal Year Projecthttps://inrepscholar.com/african-leadership-univerisity/projects/978