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        <title>Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems</title>
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            <title>Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)</title>
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    <abstract>In long-term translation projects, like Parliamentary text, there is a desire to build machine translation systems that can adapt to changes over time. We implement and examine a simple approach to continual learning for neural machine translation, exploring tradeoffs between consistency, the model’s ability to learn from incoming data, and the time a client would need to wait to obtain a newly trained translation system.</abstract>
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%0 Conference Proceedings
%T Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems
%A Knowles, Rebecca
%A Larkin, Samuel
%A Simard, Michel
%A Tessier, Marc A.
%A Bernier-Colborne, Gabriel
%A Goutte, Cyril
%A Lo, Chi-kiu
%Y Knowles, Rebecca
%Y Eriguchi, Akiko
%Y Goel, Shivali
%S Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
%D 2024
%8 September
%I Association for Machine Translation in the Americas
%C Chicago, USA
%F knowles-etal-2024-tradeoffs
%X In long-term translation projects, like Parliamentary text, there is a desire to build machine translation systems that can adapt to changes over time. We implement and examine a simple approach to continual learning for neural machine translation, exploring tradeoffs between consistency, the model’s ability to learn from incoming data, and the time a client would need to wait to obtain a newly trained translation system.
%U https://aclanthology.org/2024.amta-research.10
%P 102-118

Markdown (Informal)

[Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems](https://aclanthology.org/2024.amta-research.10) (Knowles et al., AMTA 2024)

• Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems (Knowles et al., AMTA 2024)

ACL

• Rebecca Knowles, Samuel Larkin, Michel Simard, Marc A Tessier, Gabriel Bernier-Colborne, Cyril Goutte, and Chi-kiu Lo. 2024. Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems. In Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), pages 102–118, Chicago, USA. Association for Machine Translation in the Americas.