@inproceedings{knowles-etal-2020-nrc,
title = "{NRC} Systems for the 2020 {I}nuktitut-{E}nglish News Translation Task",
author = "Knowles, Rebecca and
Stewart, Darlene and
Larkin, Samuel and
Littell, Patrick",
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-1.13",
pages = "156--170",
abstract = "We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20). Our submissions consist of ensembled domain-specific finetuned transformer models, trained using the Nunavut Hansard and news data and, in the case of Inuktitut-English, backtranslated news and parliamentary data. In this work we explore challenges related to the relatively small amount of parallel data, morphological complexity, and domain shifts.",
}
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<abstract>We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20). Our submissions consist of ensembled domain-specific finetuned transformer models, trained using the Nunavut Hansard and news data and, in the case of Inuktitut-English, backtranslated news and parliamentary data. In this work we explore challenges related to the relatively small amount of parallel data, morphological complexity, and domain shifts.</abstract>
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%0 Conference Proceedings
%T NRC Systems for the 2020 Inuktitut-English News Translation Task
%A Knowles, Rebecca
%A Stewart, Darlene
%A Larkin, Samuel
%A Littell, Patrick
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F knowles-etal-2020-nrc
%X We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20). Our submissions consist of ensembled domain-specific finetuned transformer models, trained using the Nunavut Hansard and news data and, in the case of Inuktitut-English, backtranslated news and parliamentary data. In this work we explore challenges related to the relatively small amount of parallel data, morphological complexity, and domain shifts.
%U https://aclanthology.org/2020.wmt-1.13
%P 156-170
Markdown (Informal)
[NRC Systems for the 2020 Inuktitut-English News Translation Task](https://aclanthology.org/2020.wmt-1.13) (Knowles et al., WMT 2020)
ACL