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“All those in favour will please say yea”: Understanding the Factors Behind Machine Translation Adoption at the Canadian Parliament

A user study by researchers including Jeniffer Leal-Wyss, Delaney Lothian, Gabriel Bernier-Colborne, Rebecca Knowles, and Michel Simard, presented at the 26th Annual Conference of the European Association for Machine Translation in June 2026, found that translators at the Canadian Parliament use a neural machine translation system as an optional postediting tool, with adoption influenced by both human and technical factors. The study advocates for a user-centred approach to integrating machine translation into professional workflows.

read2 min views8 publishedAug 24, 2026
“All those in favour will please say yea”: Understanding the Factors Behind Machine Translation Adoption at the Canadian Parliament
Image: Aclanthology (auto-discovered)

“All those in favour will please say yea”: Understanding the Factors Behind Machine Translation Adoption at the Canadian Parliament

[Jeniffer Leal-Wyss](/people/jeniffer-leal-wyss/unverified/),
[Delaney Lothian](/people/delaney-lothian/unverified/),
[Gabriel Bernier-Colborne](/people/gabriel-bernier-colborne/unverified/),
[Rebecca Knowles](/people/rebecca-knowles/),
[Michel Simard](/people/michel-simard/)
Abstract

Translators at the Canadian Parliament currently have access to a neural machine translation system as an optional tool integrated into their translation environment, whose output they can use for postediting (rather than translating from scratch); this provides a valuable opportunity to study the dynamics of MT adoption in professional settings. We report on a user study that investigates how and why translators choose to interact with this tool. Using a mixed-methods approach, we examined both human and technical factors that influence the adoption or non-adoption of the system. Drawing on our findings, we advocate for a user-centred approach to MT integration within professional translation workflows.- Anthology ID:

- 2026.eamt-1.36
- Volume:
[Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)](/volumes/2026.eamt-1/)- Month:
[EAMT](/venues/eamt/)- SIG:
- Publisher:
  • European Association for Machine Translation
- Note:
- Pages:
  • 562–587
- Language:
- URL:
[https://aclanthology.org/2026.eamt-1.36/](https://aclanthology.org/2026.eamt-1.36/)- DOI:
- Cite (ACL):
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