How to Check the Accuracy of an AI Translation

A translation can read smoothly and still change the meaning. Review should compare the source and target language, not rely on fluency alone. Check whether the translation adds or omits information, changes numbers or dates, reverses a negation, shifts formality, or uses a term inconsistently. Back-translation translates the target back into the source language; it can reveal a shift but may reproduce a different plausible sentence and cannot prove accuracy. Comparing two engines can surface a disagreement, but both may share similar errors or lack domain context. A fluent reviewer familiar with the subject is especially important for medical, legal, financial, safety, and public-facing material. Give the reviewer the audience, locale, terminology list, and purpose, not just a target string. For a long document, sample every section and inspect headings, tables, footnotes, and text embedded in images. Track corrections in a glossary so the same issue is not repeated. If a sentence is ambiguous in the source, clarify it before translation rather than forcing a model to guess. Verify that dates, measurements, units, product names, and conditions are preserved. AI can accelerate a first pass and highlight uncertainty, but accuracy assessment requires evidence and human understanding of both languages and context. For a safety instruction, a missed negation can reverse the required action. A changed digit can alter a financial table. Prioritize review according to error impact and escalate ambiguity.