Localisation / Publishing

Translation Quality Assurance AI Architecture

Compare RAG, fine-tuning, long-context, and hybrid approaches for translation quality assurance at 80K queries/month.

Top approaches

#1 Best fit
Fine-Tuning

Domain-specific terminology and style guides require model adaptation.

#2 Runner-up
RAG

Glossary retrieval improves term consistency without full fine-tuning.

#3 Alternative
Long-Context

Adequate for short documents and small glossaries.

Cost at typical volume

Estimated at 80K queries/month

Long-Context$1,618/mo
RAG$2,241/mo
Hybrid / RAFT$5,763/mo
Fine-Tuning$5,869/mo

Key considerations

  • 1A terminology database (termbase) is your most valuable asset — embed it as a RAG index before considering fine-tuning.
  • 2Evaluate using BLEU, COMET, and human post-editing rates on a held-out test set.
  • 3Fine-tune separately per domain (legal, medical, marketing) — cross-domain training degrades quality.

Frequently asked questions

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