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.

MTPE in one line MT + Human Machine speed with accountable post-editing.

The machine creates a first output. A qualified human post-editor corrects meaning, terminology, fluency and content-specific errors before delivery.

Where MTPE fits

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.

The MTPE workflow

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.

01

Prepare the source and assets

The source file, translation memory, glossary, style requirements and content constraints are prepared before machine output is generated.

02

Generate the machine draft

The selected MT system creates the initial target version using the available context and linguistic assets.

03

Post-edit by a qualified linguist

The post-editor checks meaning, terminology, omissions, additions, grammar, style and domain-specific issues.

04

Run systematic QA

Automated checks target glossary compliance, numbers, tags, formatting and inconsistent repeated sentences; human revision is added when the project requires it.

05

Capture approved corrections

Validated terminology and corrections are retained in the linguistic assets so future projects can start from better information.

What human post-editing is checking

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.

• Omissions and additions
• Mistranslations
• Ambiguous source interpretation

Terminology & consistency

Preferred client and sector terminology must override generic machine choices.

• Approved glossary
• Product names and components
• Consistent repeated sentences

Hard-data accuracy

Numbers and formatting are checked because a fluent sentence can still contain a critical numerical error.

• Numbers and dates
• Units and measurements
• Tags and placeholders
MTPE + TUBE

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.

Typical content

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.

Technical manuals Product documentation Financial reports Internal documentation Legal support content Knowledge bases Product catalogues High-volume updates Repeated release notes
Quality standard

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.

Client voices

Long-term partners, in their own words.

Manufacturers, agencies and specialist firms across Europe rely on us for documentation that has to be right in every market.

MTPE questions

The important question is not โ€œDo you use AI?โ€ but โ€œWhere 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

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