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.
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Understand DQF-MQM error classification for machine translation post-editing. Learn accuracy, fluency, terminology categories and severity levels to boost QA efficiency.
Essential automated quality assurance checks for machine translation post-editing workflows. Terminology, formatting, numbers, tags — what to validate and how it saves 25-40% of editing time.
Step-by-step guide to setting up MTPE for technical documentation, quality checks you need, tools, and realistic productivity benchmarks.
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.
Back-translation explained - when it's genuinely required (pharma, PROs, clinical trials), when it's a waste of money, how much it costs, and what alternatives exist.
ISO 18587 for machine translation post-editing - what the standard requires, post-editor qualifications, certification process. Comparison with ISO 17100 and real pricing data.
Translation QA beyond spell-check - TEP model stages, automated QA tools, MQM error framework, and when you need extra quality checks.
ISO 17100 for translation - what the standard requires, how much certification costs, who actually needs it. Real prices, audit process, and honest ROI analysis.