Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation

Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, Michel Simard, Rebecca Knowles


Abstract
The Parliament of Canada’s translation workflow includes access to a specialized neural machine translation (NMT) system. This study analyzes post-editing (PE) activity to identify the types of edits translators make when interacting with the NMT system, as well as the frequency, nature, and severity of errors encountered. We compare translations produced with and without the use of this NMT system to evaluate potential differences in edit patterns. To complement this analysis, we draw on insights from a user study. Our findings explore how translators’ perceptions align with observed PE patterns and how their feedback can inform strategies to better understand, and possibly mitigate, some of the errors observed.
Anthology ID:
2026.amta-research.10
Volume:
Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Month:
August
Year:
2026
Address:
Québec City, Canada
Editors:
Eleftheria Briakou, Jeremy Gwinnup, Shivali Goel
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
159–173
Language:
URL:
https://aclanthology.org/2026.amta-research.10/
DOI:
Bibkey:
Cite (ACL):
Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, Michel Simard, and Rebecca Knowles. 2026. Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation. In Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), pages 159–173, Québec City, Canada. Association for Machine Translation in the Americas.
Cite (Informal):
Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation (Leal-Wyss et al., AMTA 2026)
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PDF:
https://aclanthology.org/2026.amta-research.10.pdf