arxiv:2011.09249

The Ubiqus English-Inuktitut System for WMT20

Published on Nov 18, 2020

Authors:

Vincent Nguyen

Abstract

A multilingual Transformer model trained on agglutinative languages is used for English-Inuktitut translation, addressing challenges posed by low-resource data and language-specific peculiarities.

AI-generated summary

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.

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