How to Enforce Terminology in Machine Translation Post-Editing
Practical guide: set up glossaries, integrate termbases into CAT tools, and eliminate terminology errors in MTPE. Compare approaches, tools, and ROI.
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How Machine Translation Destroys Formatting and How to Prevent It
Why MT mangles document structure, and 3 proven methods professionals use to keep tables, fonts, and images intact during translation.
How to Explain MTPE Pricing to Clients Who Expect Discounts
Client wants 50% off because 'it's just AI'? Learn how to justify MTPE pricing, handle discount pushback, and position machine translation post-editing as value - not a budget cut.
How to Hire Post-Editors: Skills That Differ From Translators
A guide for project managers: how post-editors differ from translators, where to find them, and how to verify their skills before hiring.
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.
How to Integrate Machine Translation into Your CAT Tool Pipeline
Step-by-step guide to connect MT engines in Trados, memoQ, Phrase, and Smartcat. Compare integration options, boost MTPE efficiency by 2-3x, and implement quality controls.
Light post-editing scope: what to fix and what to leave
The practical guide to light MTPE: error categories to fix, mistakes to ignore, cost savings vs quality trade-offs, and how to brief editors for speed without sabotaging output.
Machine translation for marketing: why MTPE often fails
Why machine translation post-editing fails for marketing copy. When to use MTPE, transcreation, and human translation for brand messaging.
How to Manage Post-Editor Burnout on High-Volume MT Projects
61% of editors find post-editing mind-numbing. A practical guide to workload management, QA automation, and choosing the right workflow for your team.
MT Error Typology: DQF-MQM Categories for Post-Editors
Understand DQF-MQM error classification for machine translation post-editing. Learn accuracy, fluency, terminology categories and severity levels to boost QA efficiency.
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.
Post-editing legal documents: risks and MTPE guidelines
When MTPE works for legal translation and when it doesn't - from contracts to court filings, with ISO standards, quality workflows, and real risks explained for agencies and in-house legal teams.