Which Content Types Should Never Go Through Machine Translation
Legal contracts, medical records, marketing copy, poetry - exactly why MT fails these categories and what goes wrong when teams skip human review.
Translation tips, AI insights & freelance guides
Legal contracts, medical records, marketing copy, poetry - exactly why MT fails these categories and what goes wrong when teams skip human review.
What does publishable quality mean in full MTPE? Error taxonomy, ISO 18587 requirements, and a practical 6-pass checklist for post-editors.
Why great translators often fail at MTPE - and what specific skills to test for when hiring post-editors for your agency or team.
What ISO 18587 actually requires from translation agencies - full vs light post-editing, post-editor competencies, documentation, certification process, and what changes in the 2026 revision.
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.
Why MTPE produces flat, off-brand results for marketing copy - and what to use instead. Covers brand voice, idioms, cost benchmarks, and the transcreation alternative.
Full MTPE workflow for technical manuals: 6 stages, terminology QA, safety warning checks, ISO 18587 requirements, realistic rates, and the five mistakes that destroy technical post-editing projects.
What makes legal MTPE uniquely risky, which documents are too dangerous to post-edit, the five MT error types that cause legal disputes, and how to price legal MTPE correctly.
What skills translators need for MTPE, the 5 competencies per ISO 18587, the most common beginner mistakes, and how to build a practical training program.
61% of translators find MTPE tedious, 46% refuse MTPE jobs entirely, and rates have collapsed 50-70%. Here's what's actually driving the resistance - and what agencies can do to fix their workflows.
DeepL, Google Cloud, Azure, Amazon, SYSTRAN, Lara Translate - honest comparison of MT engines for agencies: quality benchmarks, API pricing, CAT integrations, and when to use which.
DeepL, Google Translate, and GPT-4o compared for agency MTPE workflows: quality benchmarks, API pricing, post-editing effort, and which engine fits which content type.