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 several quality assurance measures. Automated QA checks identify technical and formal errors during the translation process. Specialist translators then review terminology, context, style and technical accuracy to ensure a high quality of translation.
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 technical precision of the translation.
Benefits for companies:
- Higher translation quality: Automated and manual checks complement each other perfectly.
- Less reworking: Errors are identified at an early stage and corrected efficiently.
- Reliable compliance with company standards: Terminology, style guides and quality guidelines are consistently taken into account.
Further reading
Checking Translation Memories with AI: How to keep pre-translations up to date
Find out why regularly maintaining Translation Memories sustainably improves the quality of AI translations.