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

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arxiv 2109.14368 v1 pith:IUGLDOH5 submitted 2021-09-29 cs.CL

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

Svetlana Tchistiakova , Jesujoba Alabi , Koel Dutta Chowdhury , Sourav Dutta , Dana Ruiter This is my paper
classification cs.CL
keywords multilingualtranslationedinsaarlow-resourcemodelsapproachesback-translationconference
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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