The Ubiqus English-Inuktitut System for WMT20
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 chal...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2011.09249 https://arxiv.org/abs/2011.09249 |
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ftdatacite:10.48550/arxiv.2011.09249 2023-05-15T16:55:31+02:00 The Ubiqus English-Inuktitut System for WMT20 Hernandez, François Nguyen, Vincent 2020 https://dx.doi.org/10.48550/arxiv.2011.09249 https://arxiv.org/abs/2011.09249 unknown arXiv Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 CC-BY-NC-ND Computation and Language cs.CL FOS Computer and information sciences Article CreativeWork article Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2011.09249 2022-03-10T15:09:53Z 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. : System Description paper for WMT 2020 English-Inuktitut News Translation Task Article in Journal/Newspaper inuktitut DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Computation and Language cs.CL FOS Computer and information sciences |
spellingShingle |
Computation and Language cs.CL FOS Computer and information sciences Hernandez, François Nguyen, Vincent The Ubiqus English-Inuktitut System for WMT20 |
topic_facet |
Computation and Language cs.CL FOS Computer and information sciences |
description |
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. : System Description paper for WMT 2020 English-Inuktitut News Translation Task |
format |
Article in Journal/Newspaper |
author |
Hernandez, François Nguyen, Vincent |
author_facet |
Hernandez, François Nguyen, Vincent |
author_sort |
Hernandez, François |
title |
The Ubiqus English-Inuktitut System for WMT20 |
title_short |
The Ubiqus English-Inuktitut System for WMT20 |
title_full |
The Ubiqus English-Inuktitut System for WMT20 |
title_fullStr |
The Ubiqus English-Inuktitut System for WMT20 |
title_full_unstemmed |
The Ubiqus English-Inuktitut System for WMT20 |
title_sort |
ubiqus english-inuktitut system for wmt20 |
publisher |
arXiv |
publishDate |
2020 |
url |
https://dx.doi.org/10.48550/arxiv.2011.09249 https://arxiv.org/abs/2011.09249 |
genre |
inuktitut |
genre_facet |
inuktitut |
op_rights |
Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.48550/arxiv.2011.09249 |
_version_ |
1766046532930371584 |