Raw machine translation vs. LOOPS
Why the 9to5 Media Services “Global on Launch” workflow is the opposite of chaotic machine translation
Machine translation has become ubiquitous. Unfortunately, so has bad machine translation: inconsistent terminology, awkward phrasing, unpredictable results, and no accountability. Many companies have experienced this first-hand — often through low-cost providers who quietly rely on machine translation while presenting it as “professional translation”.
The 9to5 Media Services “Global on Launch” workflow also uses machine translation — but in a fundamentally different way – not as a shortcut, not as a black box, and not as a one-off transaction. Instead, we embed machine translation into a controlled, transparent documentation system designed for consistency, scalability, and long-term maintainability.
The key difference lies upstream. Most low-quality machine translation starts with poorly structured source material: legacy PDFs, marketing-heavy prose, inconsistent terminology, and no clear content ownership. Our workflow starts by engineering the source itself — creating clear, translation-friendly English, modular content structures, and well-defined terminology assets. When machine translation is applied to high-quality inputs, its output becomes dramatically more predictable.
Another critical distinction is intent.
“Chaotic”, raw machine translation is transactional: upload a document, get something back, hope for the best.
“Global on Launch” is systemic: Content is treated as a living asset, not a bunch of disposable files.
Terminology evolves, updates propagate automatically, and all languages remain aligned because they are generated from the same controlled source — not retranslated ad hoc under time pressure.
Finally, there is honesty.
We do not pretend that machine translation is human translation. We explain exactly where automation is used, why it works in this context, and what quality level to expect. Clients are not sold illusions; they are given leverage. This transparency allows informed decisions, realistic expectations, and — crucially — trust.
In short, the problem with machine translation is not the technology. It is the absence of structure, process, and accountability around it. “Global on Launch” exists precisely to solve that.
| “Chaotic” (raw) machine translation | 9to5 Media Services – Global on Launch |
|---|---|
| Machine translation use is hidden or denied | machine translation use is explicit and documented |
| Messy, legacy source files | Translation-friendly source content |
| No controlled terminology | Fine-tuned, reusable glossaries |
| One-off document uploads | Structured, single-source system |
| Inconsistent output quality | Predictable, repeatable results |
| No long-term memory | Living documentation corpus |
| Low cost, high risk | Controlled cost, managed risk |
| Disposable relationships | Long-term documentation strategy |
↻ 2025-11-20