Tech & AI Solutions
Machine Translation Post-Editing
Expert human review of machine-translated content to achieve the quality required for its intended use.
Machine translation produces output that often requires human correction to be usable — particularly for content that will be seen by customers, published publicly, or used in professional contexts. Post-editing applies the right level of human review to bring machine-translated content to the quality standard it needs.
Human Expertise Applied Where It Matters
Post-Editing is not simply proofreading — it requires linguists who understand both how machine translation works and how to correct its characteristic errors efficiently. The appropriate level of Post-Editing depends on the content type, its audience, and the standards the final output must meet.
We provide light Post-Editing for content where near-publication quality is needed, and full Post-Editing for content where the standard expected is equivalent to a human translation from scratch. The choice is based on the content, not on cost alone.
What's Included
A complete approach to machine translation post-editing
Light Post-Editing
Review and correction of critical errors — mistranslations, omissions, and terminology problems — bringing content to a clear and accurate standard for intended use.
Full Post-Editing
Comprehensive review of machine-translated output to the standard of a professionally produced human translation, including fluency, style, and terminology.
Terminology Correction
Identification and correction of terminology errors where machine translation has used incorrect, inconsistent, or unapproved product or brand terminology.
Meaning Validation
Review of machine-translated content for meaning accuracy, identifying and correcting additions, omissions, and mistranslations.
Fluency Improvement
Correction of unnatural phrasing, awkward constructions, and register inconsistencies that affect the readability of the translated content.
Quality Review
Final review of post-edited content against the agreed quality criteria for the content type before delivery.
Process
How it works
Content and Quality Level Assessment
We review the machine-translated content, its intended use, and the quality level required to confirm whether light or full Post-Editing is appropriate.
Post-Editor Assignment
The content is assigned to a post-editor with the relevant subject-matter experience and familiarity with the language pair and content type.
Post-Editing
The post-editor reviews and corrects the content to the agreed quality level, applying approved terminology and addressing errors systematically.
Quality Review
Post-edited content is reviewed against the quality criteria agreed for the content type and intended use.
Delivery and Feedback
Corrected content is delivered in the required format. Error patterns observed during Post-Editing are fed back to improve future machine translation output.
Why Randa Translation
What sets our approach apart
Right Level for the Content
We apply light or full Post-Editing based on what the content requires, not a one-size approach.
Subject-Matter Post-Editors
Post-editors are selected based on their knowledge of the content domain, not only their language proficiency.
Feedback Loop to MT
Error patterns from Post-Editing are used to improve machine translation output over time through terminology and engine adjustments.
Quality Criteria Transparency
The quality standard applied is agreed in advance and documented, so both parties know what the Post-Editing is intended to achieve.
Improve Your Machine Translation Output
Tell us about the content type, language pairs, and quality level required. We will confirm the right Post-Editing approach and assign specialists with relevant expertise.