Translation Smells the ultimate Semantic Verifier
For years, we were taught to trust the number. 86%. 92%. 99%. It felt scientific. It felt safe. But language doesn’t fail evenly.
Move beyond vague “quality scores” and uncover the hidden semantic issues that actually damage trust, omissions, bias, tone drift, and hallucinations.
Stop Grading.
Start Diagnosing.
A translation can pass spellcheck.
It can pass grammar rules.
It can pass your glossary. And still be wrong.
In software, we call this a code smell. In localization, it’s a translation smell.
Diagnose Meaning, Not Just Form
Spellcheck can’t catch semantic failure. The Semantic Verifier flags segments that look correct, but change intent, tone, or truth.
Beyond “86% Quality”
A single score can’t represent risk. We surface what’s wrong, why it matters, and what to fix, not a number that implies safety.
Smells, Not Guesswork
We detect semantic “smells” with Generative AI and convert fuzzy concerns into actionable, review-ready findings.
From Quality Scores to Translation Smells
Traditional localization QA count matches, generate scores, and assume higher numbers mean lower risk.
They treat language like math. Take a look below at how Smells is a modern approach.
Scores Give a False Sense of Safety
For decades, the industry has relied on word matching and “quality scores.” But language isn’t math. A translation can be perfect for 500 pages and still be dangerous if one critical word disappears. Stop trusting the score. Start inspecting the smell.
Smells Detect Semantic Shifts
In software, a code smell isn’t a crash, it’s a warning sign. Translation Smells work the same way, flagging segments where semantic intent may have shifted even when grammar, spelling, and terminology rules all pass.
The Semantic Hazards We Detect
The Semantic Verifier scans for 30+ semantic markers and highlights the ones that matter most, like omissions, additions, tone mismatches, bias, and ambiguity, so reviewers don’t waste time on noise.
Confidence Score + Human Authorship
Sometimes you still need a number. That’s why we provide a Confidence Score built from smells, not word counting. We empower the human with two options: Fix it (one click) or Ignore it (assert authorship).
The God Metric is Dead:
Why words are smarter than numbers
Why “86% quality” hides real risk, and how semantic diagnostics restore control.
Quality is no longer a black box
How Smells Turn Quality Into Action
Smells understand meaning and turn it into actionable signals that make translation risks visible.
Quality Becomes a Process, Not a Number
Smells don’t promise perfection. They make quality visible, discussable, and actionable. The shift is from measuring language to managing risk.
Quality Sensitivity Adapts to Context
Language risk varies by content, audience, and purpose. Smells reflect that difference, allowing teams to focus review effort on what can actually cause confusion, liability, or brand damage.
You Can Explain Every Decision
You know what was flagged, what was reviewed, and what was intentionally approved.That clarity makes quality defensible when questions arise.
Accountability Without Losing Control
Quality becomes auditable without turning language into a black box.
Get Concrete Signals About Meaning
A quality score doesn’t provide direction. It doesn’t show where the problem is or why it matters. Smells replace abstract debates with concrete signals about meaning, tone, and added risk.
Fix, Ignore, or Move On
Every smell is a decision point, not a mandate. Reviewers can fix the issue, ignore it intentionally, or move forward without breaking flow or creating bottlenecks.
Ready to clear the air?
Stop settling for “Technically Correct.” Start demanding “Semantically True.”
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