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Machine Translation Post-Editing (MTPE)

ISO 18587 Compliant Light & Full Post-Editing 40%+ Cost Savings & 2x Speed

Empower high-volume enterprise documentation, technical support knowledge bases, and e-commerce catalogs by combining state-of-the-art Neur…

ISO 17100 Dual Review Native Expert Peer Review 1:1 Format Preserved Strict NDA Protected
MTPE Post-Editing - AI Localization & Quality Automation | Shanghai Linguist
MTPE Post-Editing
ISO 17100 Dual-Review QA
24h
Quote response
Dual
Review workflow
TM
Terminology reuse
PM
Dedicated oversight
Overview & Scope

MTPE Post-Editing: High-Throughput Neural Translation with Expert Human Review

Machine Translation Post-Editing (MTPE) unites the raw throughput of neural translation engines with the discerning critical judgment of specialized human linguists. For high-volume technical documentation, support knowledge bases, and cross-border e-commerce catalogs, MTPE compresses turnaround times by 30% to 50% while drastically reducing unit costs, making it the industry standard for scalable content velocity.

Linguist differentiates Light PE and Full PE modes based on content sensitivity, turnaround needs and your quality baseline. Every batch is governed by ISO 18587 quality controls and ships with an MQM quality assessment, ensuring publication-grade output rather than merely comprehensible text.

  • Light PE / Full PE dual modes, precision-matched to content type and risk level
  • Compatible with DeepL, Google NMT, Azure and custom NMT engine outputs
  • ISO 18587-governed quality controls with per-batch MQM assessment reports
  • Glossary and TM pre-translation for cross-language consistency across releases
Shanghai Linguist MTPE Post-Editing
MTPE Post-Editing ISO 17100 质控标准

When to Adopt MTPE: The Optimal Frontier of Cost and Quality

In today's hyper-connected global economy, digital content volumes are experiencing exponential growth across technical documentation, support knowledge bases, e-commerce product catalogs, and international regulatory filings. Relying solely on traditional human TEP (Translation, Editing, Proofreading) workflows often strains budgets and leads to prohibitive launch delays. Conversely, relying on raw machine translation introduces unacceptable risks of terminology mismatches, hallucinations, and potential compliance liabilities. MTPE (Machine Translation Post-Editing) bridges this divide. By utilizing neural engines for initial raw generation and deploying seasoned native subject-matter experts for targeted correction and idiomatic refinement, enterprises achieve publication-ready quality at up to 50% lower costs and twice the speed.

When to Adopt MTPE: The Optimal Frontier of Cost and Quality

ISO 18587 Standard: Defining Light vs. Full Post-Editing Norms

Linguist rigorously adheres to ISO 18587 guidelines, defining clear technical boundaries for our production tiers: • **Light Post-Editing (LPE)**: The primary objective is establishing accurate comprehension ('Comprehensible' and 'Accurate'). Linguists deliberately refrain from subjective stylistic improvements or sentence restructuring, focusing laser-like attention on correcting factual errors, critical omissions, inverted logic, and misleading terminology. It is engineered for high-velocity, ephemeral documentation. • **Full Post-Editing (FPE)**: The primary objective is delivering publication-grade prose ('Publishable' and 'Natural'). Linguists cross-reference every sentence against the source text, dismantling stiff syntactic structures, enforcing enterprise glossaries, and refining cadence so that the final deliverable reads as authentic, fluent prose completely free of machine translation footprints.

ISO 18587 Standard: Defining Light vs. Full Post-Editing Norms

Human-in-the-Loop Synergy: From Raw Generation to Asset Compounding

At Linguist, MTPE is not treated as a disjointed text editing task, but as a holistic digital asset lifecycle. Prior to launch, our data engineers execute rigorous corpus cleaning to eliminate noisy legacy pairs, assembling high-confidence translation memories (TM) that are injected into DeepL Pro, ModernMT, or custom LLM architectures. During production, cloud-based CAT environments dynamically segment source copy, automatically presenting linguists with pre-propagated fuzzy matches and locked tags. Post-delivery, all validated human corrections flow back into the master knowledge repository. Over time, initial machine generation quality improves, human edit distances shrink, and your global localization ROI compounds with every subsequent release.

Human-in-the-Loop Synergy: From Raw Generation to Asset Compounding
Delivery Specifications

Enterprise Delivery Standards & Deliverables

Every specialized service includes full format fidelity, language asset retention, and end-to-end quality traceability.

Final Work Products

Full layout and visual hierarchy preservation across all file formats

  • Format-Preserved Translations (Office/PDF/InDesign)
  • Bilingual Side-by-Side Review Files
  • Production-Ready Deployment Packages

Language Assets Package

Deliverables include durable digital assets for enterprise scale

  • Enterprise TermBases (TB / Glossary)
  • Standard Translation Memories (TMX / XLIFF)
  • Do-Not-Translate & Brand Tone Guidelines

Quality & Compliance Proof

Meeting international regulatory and legal audit standards

  • ISO 17100 Traceability Card & Sign-Off Report
  • Official Certified Translation Certificate / Seal
  • Strict Confidentiality Undertaking & NDA Compliance

SLA & Post-Delivery Support

Ongoing warranty to guarantee seamless business launch

  • 30-90 Days Post-Delivery Revision Warranty
  • Pre-Launch Testing Coordination & Fixes
  • Dedicated Project Manager & Lead Linguist Support

Specific Scope Deliverables

Depending on scope, we can deliver the following and integrate with your toolchain:

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OpenAI / Claude API
Batch CSV / JSON
Crowdin / Phrase
GitHub Actions CI
RAG Knowledge Bases
Ticketing Systems
Quality Workflow

Standardized Industrial MTPE Workflow

From scope alignment through acceptance—clear quality gates and PM oversight.

01

Corpus Evaluation & Engine Routing

Analyze source texts for machine translatability, sanitize inline code tags, and select the optimal NMT model infused with domain-specific terminology.

02

Automated NMT & Pre-Processing

Execute machine translation with strict Do-Not-Translate (DNT) entity protection and terminology locking to generate initial bilingual drafts.

03

Native Expert Post-Editing

ISO 18587-certified native linguists perform LPE or FPE, systematically resolving grammatical flaws, semantic shifts, and unnatural phrasing.

04

Automated QA & Metric Validation

Run automated checks (Xbench/QA Distiller) for numbers, punctuation, termbase compliance, and tag integrity to eliminate technical defects.

05

Delivery & TM Corpus Enrichment

Deliver final verified content and feed post-edited bilingual segments back into enterprise Translation Memories to continuously refine subsequent cycles.

Core Advantages

Why Choose Linguist for MTPE Services

ISO 18587 Certified Compliance

Full operational compliance with the ISO 18587 international standard; our post-editors undergo stringent domain testing and continuous qualification.

40%+ Cost Reduction & 200% Faster

Save 30% to 50% compared to pure human TEP workflows while doubling daily capacity—making millions of words easily manageable.

Intelligent Multi-Engine Routing

Seamless connectivity across DeepL Pro, Google Cloud, Azure, ModernMT, and proprietary LLMs to route each language pair to its peak performer.

Self-Enhancing Linguistic Assets

Every post-edited segment updates your dedicated Translation Memories and Termbases, compounding leverage and cost savings over time.

Why Choose Linguist for MTPE Services
Related Specializations

Related AI Localization & Quality Automation Specializations

Explore adjacent specialized capabilities within the same enterprise domain.

Explore All AI Localization & Quality Automation
Prompt Localization

LLM Prompt Localization & Cultural Tuning

Engineered for international AI products, multilingual conversational agents, and generative applications. Blending prompt engineering with cross-cultural pragmatics to resolve semantic drift, token bloat, and hallucinations across global markets.

AI Output Review & QA

AI Output Review & Human Compliance

Expert human-in-the-loop review and editing for enterprise multilingual AIGC marketing copy, technical documentation, legal inquiries, and product descriptions. Eliminate hallucinations, verify facts, enforce regulatory compliance, and restore native brand voice.

Terminology & TM Governance

Terminology & Translation Memory Governance

Resolve historical terminology sprawl, translation memory (TM) corruption, and conflicting multilingual assets across global teams. Leveraging advanced NLP algorithms and accredited terminologists to construct high-leverage enterprise linguistic knowledge bases.

TMS & API Integration

TMS/CAT API Pipeline Integration

Architected for global digital products, SaaS platforms, and enterprise e-commerce. Seamlessly interconnect your code repositories (GitHub/GitLab), Headless CMS, and support desks with modern Translation Management Systems (TMS) for automated, zero-touch continuous localization.

Quality Scoring Framework

AI Quality Scoring & MQM Evaluation

Move beyond subjective opinions with empirical, objective data. Leveraging the Multidimensional Quality Metrics (MQM) framework and state-of-the-art reference-free Quality Estimation (QE) models to deliver quantifiable, transparent quality telemetry across all your language vendors.

FAQ

Frequently asked questions

Common questions on pricing, turnaround, confidentiality and file formats—contact us for anything else.

What is included in MTPE Post-Editing?
MTPE Post-Editing is a specialized offering under AI Localization & Quality Automation. We assign linguists and QA by content type and keep terminology aligned with your wider program.
How much does MTPE Post-Editing (AI Localization & Quality Automation) cost?
Pricing depends on word/page count, language pair, subject matter, timeline and formatting. Send a sample or files—we respond within 24 hours with a detailed quote.
What factors affect translation pricing?
Key factors: language pair, content type (general/technical/legal), layout/DTP, certified or notarized delivery, glossary work, rush fees, and volume for ongoing programs.
How long does translation take?
Typical documents are planned at roughly 2,000–3,000 source words per day; website and software work is phased by module. We confirm milestones during scoping.
Can you handle urgent projects?
Yes. Rush jobs use additional linguist/reviewer capacity and priority scheduling. Share your deadline when submitting—we confirm feasibility and options.
Do you sign NDAs and protect confidential files?
Yes. We sign standard or client NDAs, use secure file intake, limit access on a need-to-know basis, and can delete or archive source files per your policy.

Ready to Start Your Project?

Submit your requirements and files. Our consultant will provide a transparent quote and timeline within 24 hours.

Mutual NDA execution supported
Evaluation delivered within 24 hours
Transparent pricing & clear scope

Ready to start your mtpe post-editing project?

Neural MT plus human post-editing for scalable, cost-effective high volumes.