Post-Editing Accuracy vs Fluency: Which Errors to Prioritize
Why fixing meaning matters more than perfect grammar in MTPE. Learn MQM error prioritization, light vs full post-editing, and what clients actually need.
Translation Blog
Translation tips, AI insights & freelance guides
Adaptive Machine Translation: What It Is and When It Actually Pays Off
What adaptive machine translation is, how it differs from standard MT, when it genuinely saves time and money, and when it doesn't - with real tools, concrete numbers, and honest limitations.
Best Content Types for MTPE: Which Materials Cut Editing Time in High-Volume Pipelines
MTPE delivers 50-140% productivity gains, but not for everything. We breakdown which content types actually reduce editing time and which should stay human-translated.
Bilingual Review for MTPE: Side-by-Side Checking Best Practices
Master bilingual review workflows for MTPE quality control. Learn error detection techniques, tools, and proven strategies to catch MT flaws that look fluent.
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.
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 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.
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.
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.
Should You Charge Clients Less for MTPE? An Honest Answer
The real numbers on machine translation post-editing (MTPE) pricing. Does charging 50% less make sense? When it's actually profitable, and when it's a trap.
How to Calculate MTPE Productivity Gains with a Pilot Project
Step-by-step guide for translation agencies: measure real MTPE performance on your content, calculate ROI, and decide whether to scale post-editing across your workflow.
Automated QA Checks Every MTPE Workflow Needs
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.
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 Legal Documents: When MTPE Saves Money (and When It Backfires)
Machine translation post-editing cuts legal translation time by 60% and costs by 35-60%, but 38% of unreviewed machine-translated legal texts contain critical errors that flip meanings. Here's where the line is.
Full Post-Editing Quality Standards: What Publishable Really Means
Understand post-editing quality frameworks, from ISO 18587 to MQM metrics. Learn how professionals define 'publishable' and which standard fits your workflow.
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 MT Breaks Your Glossary and How to Enforce Terms in PE
Machine translation ignores your glossary, translates terms inconsistently, and doubles your post-editing time. Here's why neural MT struggles with terminology and practical methods to enforce it.
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.
Full Post-Editing Quality Standards: What "Publishable" Actually Means
What does publishable quality mean in full MTPE? Error taxonomy, ISO 18587 requirements, and a practical 6-pass checklist for post-editors.
Hiring Post-Editors: The Skills That Differ from Translators
Why great translators often fail at MTPE - and what specific skills to test for when hiring post-editors for your agency or team.
ISO 18587 Post-Editing Standard Explained for Translation Agencies
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.
Machine Translation for Marketing Copy: Why MTPE Often Fails
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.
MTPE for Technical Manuals: Workflow and Quality Checks
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.
Post-Editing Legal Documents: Risks and MTPE Guidelines
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.
Training Translators to Become Effective Post-Editors
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.
Why Good Translators Refuse Post-Editing - And What Actually Helps
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.
Best Machine Translation Engines for Professional Agencies in 2026
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 vs Google Translate vs GPT for Agency Post-Editing: 2026
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.
How to Measure Machine Translation Quality for Agency Work
A practical guide to measuring machine translation quality for agencies - BLEU, COMET, MQM, TER explained with pilot testing methodology and quality thresholds.
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.
Machine Translation Post-Editing (MTPE): What It Actually Means
MTPE means a human editor corrects a machine-translated draft. Learn what post-editing actually involves, light vs full PE, ISO 18587, realistic rates, and which content types work best.
MT Quality Metrics: Edit Distance vs BLEU vs Human Evaluation
BLEU, edit distance, TER, MQM - what each metric actually measures, where each fails, and which to use for your MT or MTPE workflow.
How Much to Discount MTPE from Human Translation Rates
No standard discount exists for MTPE - industry practice ranges from 10% to 80% off human rates. Here's the math, the models, and how to negotiate a rate you can actually live with.
MTPE Pricing Models: Per-Word vs Hourly vs Effort-Based Compared
Head-to-head comparison of three MTPE pricing models - per-word, hourly, and effort-based - with real 2026 rates, pros and cons for both agencies and translators, and a decision framework.
How to Set MTPE Rates: Pricing Models Agencies Actually Use
Three MTPE pricing models agencies use in 2026 - per-word, hourly, effort-based - with real rates, margin formulas, and post-editor pay benchmarks.
MTPE vs Human Translation: When to Choose Each for an Agency
Agency decision guide: when MTPE cuts costs and speeds delivery vs when human translation is the only right call. Real rates, productivity benchmarks, and a content matrix.
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.
ISO 18587: The MTPE Standard - What It Requires, What It Costs, Who Needs It
ISO 18587 for machine translation post-editing - what the standard requires, post-editor qualifications, certification process. Comparison with ISO 17100 and real pricing data.
Translator Skills in 2026: Prompt Engineering, MTPE, and Technical Literacy
What skills do translators need in 2026 to stay competitive: prompt engineering, MTPE, CAT tools, automation, and AI literacy. A practical roadmap.
Hybrid AI + Human Translation Workflow in 2026: Step by Step
A step-by-step methodology for combining AI and human translation. Real productivity numbers, tools, pricing models, and practical tips.
MTPE as a Freelance Translator Service: Pros and Cons
Should you add MTPE to your freelance services? Real rates, pitfalls, translator experiences, and an honest breakdown of pros and cons.
MTPE - Machine Translation Post-Editing: What It Is and Why It's the Future
What is MTPE, how does post-editing work, what are the rates, and why it's becoming the industry standard. A practical guide for translators.