How to Write a Post-Editing Brief Your Editors Will Actually Follow
The 7 components of a post-editing brief that translators actually follow - with error priority frameworks, glossary rules, and the decision logic section most PMs skip.
Translation Blog
Translation tips, AI insights & freelance guides
MT Quality Estimation: How Machines Automatically Flag Bad Segments
What is quality estimation for machine translation? How it helps translators cut MTPE time by 15-25%, and what automatic quality checks actually can (and can't) do.
MTPE for High-Volume Repetitive Jobs: A Scaling Playbook
Scale your translation output 3x with MTPE: glossaries, quality estimation, routing strategies, and real ROI math for agencies handling 100K+ word projects.
MTPE for Technical Manuals: Building a Reliable Workflow and Quality Process
Step-by-step guide to setting up MTPE for technical documentation, quality checks you need, tools, and realistic productivity benchmarks.
Post-editing effort scoring: how to price by segment difficulty
Master effort-based MTPE pricing. Learn to measure temporal, technical, and cognitive effort, score segments by difficulty, and build fair pricing models your editors won't reject.
Pre-editing source text to improve machine translation output
How professional translators and agencies pre-edit source documents before MT to reduce post-editing work, cut costs, and improve quality. Techniques, workflow, and ROI.
Using Quality Estimation to Route Segments to Light or Full PE
Learn how quality estimation scores automatically route machine translations to the right level of post-editing—saving time and cutting costs by up to 60%.
Why Good Translators Resist Post-Editing (And How to Fix It)
Explore why translators hate post-editing work, the hidden costs of MTPE, and proven strategies to build sustainable post-editing workflows that keep your best talent.
Light Post-Editing Scope: What to Fix and What to Leave
Practical guidelines for light post-editing: which errors to fix, which to skip, and how to set clear scope with clients before every MTPE project.
Building an MTPE Workflow in Your LSP from Scratch: A Step-by-Step Guide
A practical step-by-step guide to launching MTPE at your LSP - engine selection, TMS integration, post-editor roster, quality levels, pilot project, and pricing models.
Light vs Full Post-Editing: How to Decide for Every Project
Practical framework for choosing between LAPE and FAPE per ISO 18587 - with real rates, words-per-hour benchmarks, a project-type decision matrix, and how to handle misclassified briefs.
Post-Editing Productivity: Realistic Words-Per-Hour Benchmarks
Realistic words-per-hour benchmarks for MTPE: light PE hits ~1,000 words/hr, full PE ~700 words/hr - but language pair and MT quality can cut that in half or double it.
When AI Machine Translation Is Good Enough to Skip Human Translation
A practical decision framework for when raw AI translation works, when MTPE is enough, and when human-only is the only safe call - with real content-type benchmarks and cost data.