How do you implement agentic AI for automated translation quality assurance?
Translation quality assurance agents evaluate translated content for accuracy, fluency, and consistency. Configure agents with access to translation memories, terminology databases, and quality evaluation frameworks. The agent checks translations for terminology consistency against approved glossaries. Implement fluency evaluation that identifies unnatural phrasing and grammatical errors. Validate that numerical values, dates, proper nouns, and formatting are preserved correctly. Check for omissions and additions compared to source text. Implement locale-specific checks for date formats, measurement units, and cultural references. Generate quality scorecards per translator and language pair. Support error categorization using MQM or similar quality frameworks. Track quality improvement trends over time per translation provider.