The Ubiqus English-Inuktitut System for WMT20

November 18, 2020 ยท Declared Dead ยท ๐Ÿ› Conference on Machine Translation

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Authors Franรงois Hernandez, Vincent Nguyen arXiv ID 2011.09249 Category cs.CL: Computation & Language Citations 6 Venue Conference on Machine Translation Last Checked 4 months ago
Abstract
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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