The challenge
A Europe-HQ multinational needed 60+ hours of eLearning localized into 9 languages including RTL — and rejected machine translation as robotic.
Our approach
Cultural adaptation, not translation: native linguists and in-country reviewers, re-recorded voice-overs, and on-screen text rebuilt for expansion and RTL, backed by a central terminology database and translation memory.
- Used native linguists and in-country reviewers instead of the machine translation the client had rejected as robotic.
- Re-recorded voice-overs and rebuilt on-screen text to handle language expansion and RTL layouts.
- Backed every language with a central terminology database and translation memory for consistency and reuse.
- Ran linguistic QA on each locale before release.
Results & impact
The library shipped in all 9 languages (including RTL) with a 99% first-pass linguistic QA rate and a 58% lift in course completion among non-English learners.
