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arXiv · 2109.14368

EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT

Svetlana Tchistiakova·Jesujoba Alabi·Koel Dutta Chowdhury·Sourav Dutta·Dana Ruiter
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Abstract

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.

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Svetlana Tchistiakova, Jesujoba Alabi, Koel Dutta Chowdhury, Sourav Dutta, Dana Ruiter. 2021-09-29. EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT. https://arxiv.org/abs/2109.14368

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