@inproceedings{hernandez-nguyen-2020-ubiqus,
title = "The Ubiqus {E}nglish-{I}nuktitut System for {WMT}20",
author = "Hernandez, Fran{\c{c}}ois and
Nguyen, Vincent",
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.21",
pages = "213--217",
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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<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.</abstract>
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%0 Conference Proceedings
%T The Ubiqus English-Inuktitut System for WMT20
%A Hernandez, François
%A Nguyen, Vincent
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F hernandez-nguyen-2020-ubiqus
%X 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.
%U https://aclanthology.org/2020.wmt-1.21
%P 213-217
Markdown (Informal)
[The Ubiqus English-Inuktitut System for WMT20](https://aclanthology.org/2020.wmt-1.21) (Hernandez & Nguyen, WMT 2020)
ACL