@inproceedings{leal-wyss-etal-2026-translators,
title = "Translators' Perceptions and Edit Traces: Quality of {MT} as a Tool in {C}anadian Parliamentary Translation",
author = "Leal-Wyss, Jeniffer and
Bernier-Colborne, Gabriel and
Lothian, Delaney and
Simard, Michel and
Knowles, Rebecca",
editor = "Briakou, Eleftheria and
Gwinnup, Jeremy and
Goel, Shivali",
booktitle = "Proceedings of the 17th Conference of the Association for Machine Translation in the {A}mericas (Volume 1: Research Track)",
month = aug,
year = "2026",
address = "Qu{\'e}bec City, Canada",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2026.amta-research.10/",
pages = "159--173",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation
%A Leal-Wyss, Jeniffer
%A Bernier-Colborne, Gabriel
%A Lothian, Delaney
%A Simard, Michel
%A Knowles, Rebecca
%Y Briakou, Eleftheria
%Y Gwinnup, Jeremy
%Y Goel, Shivali
%S Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
%D 2026
%8 August
%I Association for Machine Translation in the Americas
%C Québec City, Canada
%F leal-wyss-etal-2026-translators
%X 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.
%U https://aclanthology.org/2026.amta-research.10/
%P 159-173
Markdown (Informal)
[Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation](https://aclanthology.org/2026.amta-research.10/) (Leal-Wyss et al., AMTA 2026)
ACL