FAS pairs a tuned machine-translation engine with native Vietnamese post-editors, so you publish human-grade content in days, typically for 60%+ less than human-only translation.
The same source through a raw engine and through FAS. We log every change and score it, so quality is something you can measure, not just trust.
Free ship nationwide for order above 500.000đ, delivered within 2–3 working days.
Free nationwide shipping on orders over VND 500,000, delivered within 2–3 working days.
MQM 100 · 0 errors · native reviewer
Four stages, machine to human to delivery. Each one measured, not guessed.
Each model’s output is scored by a reference-free quality-estimation model, and we keep the best draft. No single-vendor bias.
A native linguist corrects every segment, drawing on a glossary and translation memory built over years.
Every delivery is scored against MQM, not spot-checked, and ships with an error report.
Publish-ready files in the format you need, with the error report attached.
Which model, which linguist, and how quality is proven, decided stage by stage.
Each segment is drafted by several engines, frontier LLMs (Claude, GPT, Gemini) and specialist MT, then routed per language pair, domain and content type.
Translation memory reused by match tier (100% / fuzzy ≥75% / repetitions); glossary enforced with constrained term injection; inline tags, placeholders and do-not-translate protected.
Every candidate is scored by a reference-free quality-estimation model, plus glossary adherence and automated checks (numbers, tags, length). The top output is kept; below threshold routes to another engine or human-first.
Post-edits feed back into your TM, so post-edit distance drops over time. Your content is never used to train public models, and processing stays isolated.
Native speakers who translate only into their mother tongue, filtered through credentials, a test translation, MQM track record and a signed NDA before joining the pool. Linguists can apply to join the network.
By domain (legal, medical, technical, marketing), account familiarity (the same linguist across your work), past MQM score and availability for your deadline.
Light for correct, clear text at scale; full for publish-ready tone, terminology and flow. High-stakes files get a second-linguist review (4-eyes).
The linguist owns quality segment by segment, the layer that turns a machine draft into something you can publish.
Every delivery is graded across Accuracy, Fluency, Terminology, Style and Locale, with severity-weighted error counts, not a spot-check.
Deliveries below the agreed threshold loop back for rework before they ship. You receive the score and a full error report.
Your TM and glossary are updated every project, so terminology and consistency improve each cycle. You own both.
Returned with tags and layout intact: DOCX, XLIFF, SRT/VTT, HTML, JSON, PO, IDML, XLSX and more.
Publish-ready files, the MQM error report, and your updated translation memory and glossary.
As files, into your CMS or repo, or through an API/connector integration. 24-hour standard turnaround, rush available.
Before a human ever post-edits, several models draft each segment and an arbiter keeps the best, or blends them. Picking that winner is the hardest part of the pipeline.
A strong reasoning LLM compares the drafts on accuracy, fluency, terminology and format, then keeps or blends the best. Catches subtle style a score can't.
A quality-estimation model, such as COMET-QE, scores each draft against the source with no human reference. The highest score wins — fast, cheap and consistent.
Semantic similarity across the drafts; when two of three converge on the same meaning, the majority wins. Strong against hallucination.
MTPE (machine translation post-editing) is a two-step translation workflow: a machine translation engine or large language model writes the first draft, then a professional linguist who is a native speaker of the target language reviews and corrects it.
Done properly, the result reads like a human translation and costs a fraction of one.
StandardISO 18587 · post-editing of machine translation outputMT engines and LLMs translate every segment in seconds, grounded in your glossary and translation memory.
Meaning, terminology, grammar and tone checked and corrected, segment by segment.
Fixes meaning, grammar and terminology errors so the text is accurate and understandable. Style is left as the machine wrote it.
Best forInternal documents, knowledge bases, large support archives
Also fixes style, tone and flow, so the text is indistinguishable from human translation. Recommended for anything customers read.
Best forWebsites, apps, marketing, product and help content
| Criterion | Raw machine translation | FASMTPE, full post-editing | Human-only translation |
|---|---|---|---|
| Cost per word | Near zero | From $0.03 | Around $0.12 |
| Turnaround | Instant | 24 hours on Growth, 48 hours on Starter | Days to weeks |
| Accuracy | Unchecked; mistranslations and invented content slip through | Every segment checked by a native linguist | Checked by the translator |
| Terminology | Inconsistent | Enforced from your glossary and TM | Depends on the translator |
| Quality evidence | None | MQM error report with every delivery | Usually none |
| Best for | Gisting, internal reading | Websites, apps, docs, support, e-learning, subtitles | Slogans, creative campaigns, literary text |
Every vertical runs the same engine: AI for speed, a native post-editor for the last mile.
AI drafts your pages and campaigns in minutes; native post-editors make them read like a local wrote them. Go multi-market without a bigger team.
MTPE angle AI speed, the voice of a native copywriter.
Translation memory keeps strings consistent release after release, MT drafts instantly, and post-editors length-check and context-check every string.
MTPE angle TM + AI = consistency at release speed.
AI transcribes and drafts subtitles; linguists time, adapt and localize them. Turn a backlog of video into localized content, affordably.
MTPE angle AI does the volume, humans do the nuance.
For high-stakes documents we lean into full post-editing: a domain glossary, native legal linguists, MQM scoring and an error report on every file.
MTPE angle AI accelerates, humans stay accountable.
Also e-commerce catalogs · support & docs · game localization · English ↔ Vietnamese
Drag to your volume. MTPE vs human-only, side by side.
AI and your translation memory draft instantly while native experts post-edit in parallel. Days, not weeks.
Native-only post-editors · 24-hour standard turnaround.
Raw MT is fast but unverified. We score every delivery against MQM and ship the error report with it.
Scored, not spot-checked · native reviewer on every file.
The synthesis: machine speed with human accountability, handled confidentially from first file to last.
NDA on request · isolated data · we fix any issue free.
A tuned engine drafts in seconds; native-speaker experts perfect every line. One team, so you scale without ever sounding machine-made.
“Huy committed to our timelines and produced a high quality review of our translated files. Would recommend Huy for your English to Vietnamese translation needs!”
Still unsure whether MTPE fits your content? Send a sample and we will advise, with no commitment.
Talk to us