Transfer Learning for Related Low Resource Neural Machine Translation: A case study on Luo Languages(Loki-MT)Ogayo, Atieno Peres2021This 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.https://inrepscholar.com/projects/978