  We describe the EdinSaar submission to the shared task of Multilingual
Low-Resource Translation for North Germanic Languages at the Sixth Conference
on Machine Translation (WMT2021). We submit multilingual translation models for
translations to/from Icelandic (is), Norwegian-Bokmal (nb), and Swedish (sv).
We employ various experimental approaches, including multilingual pre-training,
back-translation, fine-tuning, and ensembling. In most translation directions,
our models outperform other submitted systems.
