Machine translation and post-editing (MTPE)
Scale volume without handing quality decisions to the machine.
Machine translation post-editing (MTPE) combines machine output with qualified human review. DEMA configures the workflow around your terminology, content type and risk, then uses post-editing and QA to bring the output to the required standard.
The machine creates a first output. A qualified human post-editor corrects meaning, terminology, fluency and content-specific errors before delivery.
Use MTPE when scale and repetition justify it.
For years, we have post-edited high-volume financial, legal and technical content. Our approach today is more precise: MTPE is the right route when the content and its risk profile make machine output a reliable starting point, and a human post-editor signs off every release.
Strong fit
Recurring content, stable terminology, large volumes, repeated structures and deadlines where a machine-first draft can reduce production time.
Requires control
Regulated or technical content can use MTPE only when terminology, numbers, formatting and domain meaning are systematically checked.
Not automatically the best route
Highly creative copy, very sensitive legal wording or low-volume nuanced content may be better served by human-led translation.
Best over time
MTPE becomes more useful when it works with maintained translation memories, validated terminology and feedback from previous releases.
Machine translation is the first production step, not the final quality decision.
At DEMA, AI is always managed by people and is never the party responsible for the work. That is why the workflow separates machine generation from human validation and QA.
Prepare the source and assets
The source file, translation memory, glossary, style requirements and content constraints are prepared before machine output is generated.
Generate the machine draft
The selected MT system creates the initial target version using the available context and linguistic assets.
Post-edit by a qualified linguist
The post-editor checks meaning, terminology, omissions, additions, grammar, style and domain-specific issues.
Run systematic QA
Automated checks target glossary compliance, numbers, tags, formatting and inconsistent repeated sentences; human revision is added when the project requires it.
Capture approved corrections
Validated terminology and corrections are retained in the linguistic assets so future projects can start from better information.
The machine can produce fluent text and still be wrong.
Post-editors are responsible for problems that can be difficult to detect from fluency alone, particularly in technical and regulated material.
Meaning & completeness
The target must carry the source meaning without omitted instructions, invented content or incorrect relationships.
Terminology & consistency
Preferred client and sector terminology must override generic machine choices.
Hard-data accuracy
Numbers and formatting are checked because a fluent sentence can still contain a critical numerical error.
For continuous documentation, TUBE keeps machine translation under your control.
TUBE produces machine translation controlled by your glossary and translation memory, so your terminology and approved wording apply from the first draft. Talk to us about the right workflow for your content.
Glossary-controlled MT
Machine translation follows your approved terminology from the first draft.
A memory that grows
Every approved translation is stored in your memory and reused in the next release.
Client-owned TM
The translation memory remains a portable client asset rather than a reason to stay with one supplier.
Leverage visibility
For recurring programmes, reuse trends can be reported so the client can see whether the linguistic asset is becoming more valuable.
Where DEMA already applies controlled machine-assisted workflows.
The exact route depends on risk and market requirements, but MTPE is particularly relevant to structured and recurring content.
Qualified post-editing, not generic cleanup.
Our MTPE service relies on trained post-editors, ISO 17100-certified processes and technology-supported quality control. Instead of vague “high quality” claims, we name the checks that make the output usable.
Qualified linguists
Post-editors combine language skill with subject-matter familiarity and are responsible for the final target content.
Process discipline
MTPE sits inside a defined workflow with translation assets, review responsibilities and QA rather than as an isolated AI step.
Content-specific acceptance criteria
The level of post-editing is set by the intended use. A maintenance instruction, investor document and campaign line should not share the same acceptance threshold.
The important question is not โDo you use AI?โ but โWhere is control kept?โ
Is MTPE the same as raw machine translation?
No. Raw MT is machine output. MTPE adds qualified human correction and project-specific QA before the content is considered deliverable.
Can MTPE be used for technical or regulated material?
Yes, when the workflow includes the appropriate terminology, domain expertise, QA and human validation. It is not suitable as an uncontrolled shortcut.
Will MTPE automatically reduce every project cost?
Not necessarily. Benefits depend on volume, repetition, source quality, terminology stability and the amount of correction required. DEMA evaluates the workflow rather than promising a universal percentage.
Can we keep our existing TM and glossary?
Yes. We assess your existing assets and reuse them where appropriate, and they always remain yours.
Bring us the content that repeats.
We can assess whether MTPE, human translation or a TUBE-based recurring workflow is the right operating model for your documents, rather than forcing every project through the same production route.
Talk to DEMA












