NMT Is Fast. Your Acceptance Risks Move Elsewhere.
The complaint we hear most: “It reads fine, but we can’t sign off.”
After teams roll out NMT, the first drafts arrive quickly. Then procurement or compliance gets stuck in acceptance.
Not because the English is broken — but because the delivery becomes uncontrollable:
- the same feature name changes across pages
- numbers/units aren’t consistent in tables
- disclaimers become softer after “one more tweak”
This is how a cheap draft turns into expensive internal review.
The market reality: vendors sell a good sample, then switch the process
A common pattern:
- a strong pilot sample (senior reviewer involved)
- production starts (lighter review, less QA)
- client’s internal team becomes the real QA layer
The damage is not just time. It’s trust — and release risk.
What to require if you want NMT and controllable acceptance
1) Lock the non-negotiables
- termbase (product/feature names)
- numbers & units rules (%, °C, mm, MB, etc.)
- compliance phrasing boundaries
2) Ask for evidence, not confidence
At delivery you should receive: - what was checked automatically (terms, numbers/units, formatting) - sampling method (what % was reviewed) - defect severity definition (critical/major/minor)
3) Use humans where AI drifts
Humans are not here to “polish.” They prevent drift in: - compliance and responsibility boundaries - controlled revisions across rounds - publishability standards
How we deliver
We use NMT where it makes sense, but we treat acceptance as a controlled system: locked assets + targeted QA + traceable fixes. That’s how you keep speed without turning your internal team into a cleanup crew.
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Quick FAQ: AI Translation Accuracy
- How accurate are AI translators? Accuracy is often high for repetitive or general content, while domain-sensitive content still needs expert review.
- How to improve AI translation quality? Use glossary control, domain prompts, QA checks, and human post-editing in one workflow.
- Where does human translation still win? Legal, medical, and high-stakes brand content usually requires human nuance and accountability.