UdS-DFKI@ WMT20: Unsupervised MT and very low resource supervised MT for German-Upper Sorbian

Saptarashmi Bandyopadhyay, Sourav Dutta, Jesujoba Alabi, Dana Ruiter, Josef van Genabith

Abstract: This paper describes the UdS-DFKI submission to the shared task for unsupervised machine translation (MT) and very low-resource supervised MT between German (de) and Upper Sorbian (hsb) at the Fifth Conference of Machine Translation (WMT20). We submit systems for both the supervised and unsupervised tracks. Apart from various experimental approaches like bitext mining, model pre-training, and iterative back-translation, we employ a factored machine translation approach on a small BPE vocabulary.