@inproceedings{bergmanis-etal-2021-research,
title = "From Research to Production: Fine-Grained Analysis of Terminology Integration",
author = "Bergmanis, Toms and
Pinnis, M{\=a}rcis and
Reichenberg, Paula",
editor = "Campbell, Janice and
Huyck, Ben and
Larocca, Stephen and
Marciano, Jay and
Savenkov, Konstantin and
Yanishevsky, Alex",
booktitle = "Proceedings of Machine Translation Summit XVIII: Users and Providers Track",
month = aug,
year = "2021",
address = "Virtual",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2021.mtsummit-up.7",
pages = "54--77",
abstract = "Dynamic terminology integration in neural machine translation (NMT) is a sought-after feature of computer-aided translation tools among language service providers and small to medium businesses. Despite the recent surge in research on terminology integration in NMT, it still is seldom or inadequately supported in commercial machine translation solutions. In this presentation, we will share our experience of developing and deploying terminology integration capabilities for NMT systems in production. We will look at the three core tasks of terminology integration: terminology management, terminology identification, and translation with terminology. This talk will be insightful for NMT system developers, translators, terminologists, and anyone interested in translation projects.",
}
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<abstract>Dynamic terminology integration in neural machine translation (NMT) is a sought-after feature of computer-aided translation tools among language service providers and small to medium businesses. Despite the recent surge in research on terminology integration in NMT, it still is seldom or inadequately supported in commercial machine translation solutions. In this presentation, we will share our experience of developing and deploying terminology integration capabilities for NMT systems in production. We will look at the three core tasks of terminology integration: terminology management, terminology identification, and translation with terminology. This talk will be insightful for NMT system developers, translators, terminologists, and anyone interested in translation projects.</abstract>
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%0 Conference Proceedings
%T From Research to Production: Fine-Grained Analysis of Terminology Integration
%A Bergmanis, Toms
%A Pinnis, Mārcis
%A Reichenberg, Paula
%Y Campbell, Janice
%Y Huyck, Ben
%Y Larocca, Stephen
%Y Marciano, Jay
%Y Savenkov, Konstantin
%Y Yanishevsky, Alex
%S Proceedings of Machine Translation Summit XVIII: Users and Providers Track
%D 2021
%8 August
%I Association for Machine Translation in the Americas
%C Virtual
%F bergmanis-etal-2021-research
%X Dynamic terminology integration in neural machine translation (NMT) is a sought-after feature of computer-aided translation tools among language service providers and small to medium businesses. Despite the recent surge in research on terminology integration in NMT, it still is seldom or inadequately supported in commercial machine translation solutions. In this presentation, we will share our experience of developing and deploying terminology integration capabilities for NMT systems in production. We will look at the three core tasks of terminology integration: terminology management, terminology identification, and translation with terminology. This talk will be insightful for NMT system developers, translators, terminologists, and anyone interested in translation projects.
%U https://aclanthology.org/2021.mtsummit-up.7
%P 54-77
Markdown (Informal)
[From Research to Production: Fine-Grained Analysis of Terminology Integration](https://aclanthology.org/2021.mtsummit-up.7) (Bergmanis et al., MTSummit 2021)
ACL