MTPE Services

Professional post-editing of machine-translated content for accurate, natural, and reliable results.

Machine translation can be useful, but raw machine output is not a finished professional translation. MTPE, or machine translation post-editing, combines machine translation with human linguistic review so that the final text is corrected, clearer, and more suitable for its intended use.

At PangeaVox Translation, we provide MTPE for suitable content where machine translation can support the workflow without removing the need for human control. The level of editing depends on the quality of the machine output, the content, audience, risk level, and final use. If the output is too poor, our Translation Services may provide a more efficient and reliable human translation workflow.

MTPE

Is MTPE the Right Workflow?

MTPE starts with an assessment of the source, machine output, purpose, and risk. It is not automatically the right choice for every project.

Suitable for MTPE

MTPE can work well when machine output is usable and efficient to correct, particularly for structured, repetitive, high-volume, or regularly updated content.

The review can focus on meaning, terminology control, fluency, consistency, readability, and obvious machine translation errors. Suitable examples may include internal materials, support content, knowledge base articles, product descriptions, e-commerce listings, technical updates, and recurring documentation.

Better handled as human translation

Human translation is generally preferable when content is legal, official, highly sensitive, safety-critical, heavily nuanced, marketing-led, creative, culturally complex, or unsuitable for reliable machine output.

Poor machine output can also make MTPE inefficient. If most of the text needs rewriting, a fresh human translation, specialist revision, or extended review process may be faster, safer, and more cost-effective.

Editing levels

Light MTPE and Full MTPE

The appropriate level depends on the intended use and expected quality. Neither workflow can make unsuitable machine output equivalent to a translation created by a human linguist from the start.

Light MTPE

Light MTPE focuses on basic correction and making the text understandable and usable for a limited purpose. The editor addresses major meaning errors, serious grammar issues, obvious machine translation problems, readability, fluency, and essential terminology consistency.

It is generally suited to low-risk internal understanding, quick information review, draft-level support, and non-public materials where polished style and tone are not the main priority.

Full MTPE

Full MTPE involves deeper editing, including checks for accuracy, completeness, terminology, grammar, style, structure, consistency, formatting, and suitability for the target audience.

It may suit more visible, client-facing, or publishable structured content when the machine output is usable and the workflow is clearly defined. Additional revision or quality control may still be recommended for higher-risk use.

Review scope

What We Check During MTPE

The reviewer checks whether the output reflects the source and is suitable for its purpose. The exact checks depend on the agreed project scope, content type, and quality level.

Accuracy

Meaning accuracy and mistranslations.

Completeness

Omissions and unsupported additions.

Terminology

Approved terms, product language, and consistency.

Numbers and names

Numbers, names, dates, measurements, and identifiers.

Style and fluency

Grammar, punctuation, tone, readability, and consistency.

Tags and placeholders

Variables, UI strings, commands, links, tags, and placeholders.

Formatting

File structure, character limits, and formatting constraints.

Client instructions

Project instructions and client-specific requirements.

Human oversight

Human Review for AI-assisted Workflows

Fluent text is not necessarily correct. Machine or AI output may contain inaccurate meaning, missing information, invented content, wrong terminology, inconsistent tone, or unsupported additions.

Human review checks whether the output is reliable, complete, and appropriate for its purpose. This is especially important for legal, technical, medical, financial, corporate, official, or client-facing content. Learn more about suitable AI-supported workflows on our Machine Translation page.

Use cases

MTPE for Different Content Types

Editing priorities differ according to the content type, purpose, audience, expected quality, and risk level. The workflow should be selected before the project begins.

Product descriptions and e-commerce listings

Terminology, attributes, consistency, readability, and customer-facing accuracy are central, especially across large catalogues and recurring updates.

Knowledge base articles

Clear instructions, consistent terminology, useful structure, and accurate links or references help readers find and apply information.

Support materials

Clarity and usability are priorities. The review considers whether users can understand the guidance and complete the intended task.

Internal documents

The quality level may be more flexible where the purpose is information only, but meaning, essential terminology, and intended audience still require assessment.

Technical updates

Numbers, commands, product names, variables, procedures, and formatting constraints may require closer checks than general prose.

Recurring content

Repeated and regularly updated material benefits from controlled terminology, reference translations, and a consistent editing brief across deliveries.

Project assurance

Quality, Terminology, and Confidentiality

MTPE quality depends on a defined workflow, appropriate source material, useful reference resources, and review aligned with the intended use.

Quality control

We check accuracy, completeness, consistency, and suitability for the agreed quality level. The review scope is matched to the purpose, audience, and risk.

Terminology control

Glossaries, style guides, previous translations, approved terminology, and client instructions help maintain consistency across files and recurring projects.

Confidential handling

MTPE may involve internal documents, product information, client data, commercial materials, or sensitive technical content. We take the project’s stated confidentiality and delivery requirements into account.

Project details

What We Need to Prepare a Quote

Sharing the available details helps us assess whether light MTPE, full MTPE, human translation, machine translation, or a combined workflow is appropriate.

  • Source and target languages
  • Machine translation output, if available
  • Source files and file format
  • Volume or word count
  • Content type and subject area
  • Deadline
  • Target audience and intended use
  • Expected quality level
  • Reference materials and previous translations
  • Glossaries or style guides
  • Formatting, tag, placeholder, or file handling requirements
  • Confidentiality or delivery requirements

Start a project

Not sure whether MTPE is suitable for your content?

Send us a sample, language pair, machine translation output if available, deadline, and intended use. We will assess whether MTPE, human translation, machine translation, or a combined workflow is suitable.

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