@inproceedings{nowakowski-dwojak-2021-adam,
title = "{A}dam {M}ickiewicz {U}niversity{'}s {E}nglish-{H}ausa Submissions to the {WMT} 2021 News Translation Task",
author = "Nowakowski, Artur and
Dwojak, Tomasz",
booktitle = "Proceedings of the Sixth Conference on Machine Translation",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wmt-1.14",
pages = "167--171",
abstract = "This paper presents the Adam Mickiewicz University{'}s (AMU) submissions to the WMT 2021 News Translation Task. The submissions focus on the English↔Hausa translation directions, which is a low-resource translation scenario between distant languages. Our approach involves thorough data cleaning, transfer learning using a high-resource language pair, iterative training, and utilization of monolingual data via back-translation. We experiment with NMT and PB-SMT approaches alike, using the base Transformer architecture for all of the NMT models while utilizing PB-SMT systems as comparable baseline solutions.",
}
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<abstract>This paper presents the Adam Mickiewicz University’s (AMU) submissions to the WMT 2021 News Translation Task. The submissions focus on the English↔Hausa translation directions, which is a low-resource translation scenario between distant languages. Our approach involves thorough data cleaning, transfer learning using a high-resource language pair, iterative training, and utilization of monolingual data via back-translation. We experiment with NMT and PB-SMT approaches alike, using the base Transformer architecture for all of the NMT models while utilizing PB-SMT systems as comparable baseline solutions.</abstract>
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%0 Conference Proceedings
%T Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task
%A Nowakowski, Artur
%A Dwojak, Tomasz
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F nowakowski-dwojak-2021-adam
%X This paper presents the Adam Mickiewicz University’s (AMU) submissions to the WMT 2021 News Translation Task. The submissions focus on the English↔Hausa translation directions, which is a low-resource translation scenario between distant languages. Our approach involves thorough data cleaning, transfer learning using a high-resource language pair, iterative training, and utilization of monolingual data via back-translation. We experiment with NMT and PB-SMT approaches alike, using the base Transformer architecture for all of the NMT models while utilizing PB-SMT systems as comparable baseline solutions.
%U https://aclanthology.org/2021.wmt-1.14
%P 167-171
Markdown (Informal)
[Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.14) (Nowakowski & Dwojak, WMT 2021)
ACL