Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard

Rebecca Knowles; Samuel Larkin; Marc Tessier; Michel Simard

Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard

Rebecca Knowles, Samuel Larkin, Marc Tessier, Michel Simard

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Abstract

Incorporating terminology into a neural machine translation (NMT) system is a feature of interest for many users of machine translation. In this case study of English-French Canadian Parliamentary text, we examine the performance of standard NMT systems at handling terminology and consider the tradeoffs between potential performance improvements and the efforts required to maintain terminological resources specifically for NMT.

Anthology ID:: 2023.eamt-1.47
Volume:: Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Month:: June
Year:: 2023
Address:: Tampere, Finland
Editors:: Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
Venue:: EAMT
SIG:
Publisher:: European Association for Machine Translation
Note:
Pages:: 481–488
Language:
URL:: https://aclanthology.org/2023.eamt-1.47/
DOI:
Bibkey:
Cite (ACL):: Rebecca Knowles, Samuel Larkin, Marc Tessier, and Michel Simard. 2023. Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 481–488, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):: Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard (Knowles et al., EAMT 2023)
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PDF:: https://aclanthology.org/2023.eamt-1.47.pdf

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@inproceedings{knowles-etal-2023-terminology,
    title = "Terminology in Neural Machine Translation: A Case Study of the {C}anadian {H}ansard",
    author = "Knowles, Rebecca  and
      Larkin, Samuel  and
      Tessier, Marc  and
      Simard, Michel",
    editor = "Nurminen, Mary  and
      Brenner, Judith  and
      Koponen, Maarit  and
      Latomaa, Sirkku  and
      Mikhailov, Mikhail  and
      Schierl, Frederike  and
      Ranasinghe, Tharindu  and
      Vanmassenhove, Eva  and
      Vidal, Sergi Alvarez  and
      Aranberri, Nora  and
      Nunziatini, Mara  and
      Escart{\'i}n, Carla Parra  and
      Forcada, Mikel  and
      Popovic, Maja  and
      Scarton, Carolina  and
      Moniz, Helena",
    booktitle = "Proceedings of the 24th Annual Conference of the European Association for Machine Translation",
    month = jun,
    year = "2023",
    address = "Tampere, Finland",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2023.eamt-1.47/",
    pages = "481--488",
    abstract = "Incorporating terminology into a neural machine translation (NMT) system is a feature of interest for many users of machine translation. In this case study of English-French Canadian Parliamentary text, we examine the performance of standard NMT systems at handling terminology and consider the tradeoffs between potential performance improvements and the efforts required to maintain terminological resources specifically for NMT."
}

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%0 Conference Proceedings
%T Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard
%A Knowles, Rebecca
%A Larkin, Samuel
%A Tessier, Marc
%A Simard, Michel
%Y Nurminen, Mary
%Y Brenner, Judith
%Y Koponen, Maarit
%Y Latomaa, Sirkku
%Y Mikhailov, Mikhail
%Y Schierl, Frederike
%Y Ranasinghe, Tharindu
%Y Vanmassenhove, Eva
%Y Vidal, Sergi Alvarez
%Y Aranberri, Nora
%Y Nunziatini, Mara
%Y Escartín, Carla Parra
%Y Forcada, Mikel
%Y Popovic, Maja
%Y Scarton, Carolina
%Y Moniz, Helena
%S Proceedings of the 24th Annual Conference of the European Association for Machine Translation
%D 2023
%8 June
%I European Association for Machine Translation
%C Tampere, Finland
%F knowles-etal-2023-terminology
%X Incorporating terminology into a neural machine translation (NMT) system is a feature of interest for many users of machine translation. In this case study of English-French Canadian Parliamentary text, we examine the performance of standard NMT systems at handling terminology and consider the tradeoffs between potential performance improvements and the efforts required to maintain terminological resources specifically for NMT.
%U https://aclanthology.org/2023.eamt-1.47/
%P 481-488

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Markdown (Informal)

[Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard](https://aclanthology.org/2023.eamt-1.47/) (Knowles et al., EAMT 2023)

Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard (Knowles et al., EAMT 2023)

ACL

Rebecca Knowles, Samuel Larkin, Marc Tessier, and Michel Simard. 2023. Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 481–488, Tampere, Finland. European Association for Machine Translation.