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.
@article{arxiv.2109.14368,
title = {EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT},
author = {Svetlana Tchistiakova and Jesujoba Alabi and Koel Dutta Chowdhury and Sourav Dutta and Dana Ruiter},
journal= {arXiv preprint arXiv:2109.14368},
year = {2021}
}