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.

Estimated at 80K queries/month

Long-Context$1,618/mo

RAG$2,241/mo

Hybrid / RAFT$5,763/mo

Fine-Tuning$5,869/mo

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.

Translation Quality Assuranceのデフォルトで事前入力された9つの質問に答えて、決定論的なアーキテクチャ推奨、コスト・クロスオーバー・チャート、8ページのPDFレポートを取得してください。