The quality of an AI translation is ensured through a combination of automated quality assurance checks (Quality Assurance, QA) and human post-editing.
Professional translation processes rely on multiple quality assurance measures. Automated QA checks detect technical and formal errors during the translation process. Specialist translators then review terminology, context, style and subject-matter accuracy to ensure a high level of translation quality.
The key pillars of quality assurance:
- Automated QA checks: Checking terminology, numbers, dates, spelling and technical tags, for example in HTML or XLIFF files.
- Human post-editing: Specialist translators review the tone, context, style and subject-matter accuracy of the translation.
Benefits for companies:
- Higher translation quality: Automated and manual checks complement each other perfectly.
- Less rework: Errors are detected early and corrected efficiently.
- Reliable compliance with company standards: Terminology, style guides and quality guidelines are consistently taken into account.
Further specialist article
How to check Translation Memories with AI: Keeping pre-translations up to date
Find out why regularly maintaining Translation Memories sustainably improves the quality of AI translations.