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Michel Simard

2 accepted papers

2025

An Interdisciplinary Approach to Human-Centered Machine Translation

EMNLP 2025

Machine Translation (MT) tools are widely used today, often in contexts where professional translators are not present. Despite progress in MT technology, a gap persists between system development and real-world usage, particularly for non-expert users who may struggle to assess translation reliabil

Cited by 0SourcePDFScholar
2020

Human or Neural Translation?

COLING 2020main

Deep neural models tremendously improved machine translation. In this context, we investigate whether distinguishing machine from human translations is still feasible. We trained and applied 18 classifiers under two settings: a monolingual task, in which the classifier only looks at the translation;…