  This paper describes Ubiqus' submission to the WMT20 English-Inuktitut shared
news translation task. Our main system, and only submission, is based on a
multilingual approach, jointly training a Transformer model on several
agglutinative languages. The English-Inuktitut translation task is challenging
at every step, from data selection, preparation and tokenization to quality
evaluation down the line. Difficulties emerge both because of the peculiarities
of the Inuktitut language as well as the low-resource context.
