Localisation IA et gestion de contenu multilingue
Enterprise AI localization combining domain LLMs, neural machine translation (NMT), terminology constraint filters, and professional human post-editing (MTPE).
AI Localization & MTPE Scope
Accelerating turnaround by 2-3x and reducing cost through AI throughput, automated QA checks, and specialized human post-editing.
MTPE post-editing
Machine translation plus human refinement for high-volume content at lower cost. Balance efficiency and quality with language-layer assur…
Prompt localization
Multilingual optimization of LLM prompts, system instructions and reply templates. Balance efficiency and quality with language-layer ass…
AI output review
Quality and compliance review of marketing, support and generated content. Balance efficiency and quality with language-layer assurance f…
Terminology & TM governance
Enterprise glossaries and translation memory for AI/human consistency. Balance efficiency and quality with language-layer assurance for A…
TMS / API integration
Hooks into Crowdin, Phrase, custom CMS and automation stacks. Balance efficiency and quality with language-layer assurance for AI go-glob…
Quality scoring
Automated BLEU / MQM sampling combined with human scoring. Balance efficiency and quality with language-layer assurance for AI go-global …
Préparation du projet
Ces informations aident à évaluer périmètre, délais et devis.
Source Files
Provide source documents or corpus packages (Word, Excel, XLIFF, JSON, Markdown, PDF).
Target Languages
Specify target language pairs and regional audience standards.
Purpose & Audience
Clarify use case (internal knowledge base, e-commerce, tech guides, publication).
Terminology & References
Provide translation memories (TMX), glossaries (TBX), or prompt constraint rules.
Format & Timeline
Confirm quality level (Light MTPE vs Full MTPE), file formats, and delivery schedule.
AI + Human Post-Editing (MTPE) Workflow
Corpus pre-processing, engine alignment, human expert post-editing, and TM archival.
Parsing & Term Injection
Parse text structures, isolate code tags, and inject glossary terms into model prompts.
Engine Machine Translation
Execute high-throughput translation via domain LLMs and NMT while protecting variables.
Automated QA Validation
Run automated checks for missing placeholders, numbers, tag corruptions, and term locks.
Human Post-Editing (Full MTPE)
Domain linguists review sentence-by-sentence to eliminate machine tone and ensure fluency.
Private TM Asset Archival
Final post-edited segments are archived into customer translation memories.
Deliverables
- Final formatted documents post-edited to human publication standards (Full MTPE)
- Post-editing effort and edit distance analysis report
- Updated private translation memories (TMX) and termbases (TBX)
- Automated QA compliance and consistency logs
Prerequisites & Scope Notes
- Post-Editing Tiers: Light MTPE focuses on accuracy; Full MTPE delivers native publication fluency
- Source Text Quality: Garbled source text requires pre-translation cleaning to prevent MT errors
- Data Privacy: Processed via enterprise zero-data-retention APIs; never used for public LLM training
- DTP Formatting: Complex CAD drawings and multi-column manuals integrate with DTP engineering
AI Translation & MTPE Technical Sample
Demonstrating raw machine translation output vs specialized human post-editing refinement.
"Ensure the fail-safe interlock triggers a controlled shutdown whenever the differential pressure transducer reports an out-of-spec reading across the manifold."
“务必确保：一旦压差变送器检测到歧管两端读数超出规格，故障安全联锁装置即刻触发受控停机。”
| Raw MT (Draft Flaw) | Full MTPE (Human Polish) | Post-Editing Rationale |
|---|---|---|
| Literal: "Trigger controlled closing..." | Controlled shutdown | Industry standard: Converts awkward literal phrasing into established technical command |
| Literal: "Pressure transducer reports..." | Differential pressure transmitter | GB/T Instrument Terminology: Standardizes transducer to transmitter in fluid systems |
| Literal: "Across the main pipe everywhere" | Across the manifold | Fluid mechanics context: Accurate spatial engineering translation of manifold reading |
Chemical Fluid Control System O&M Manual
Service: AI Translation Post-Editing (Full MTPE) · Domain: Process Engineering
Eliminating MT Syntactic Artifacts
Restructuring nested English clauses into clear engineering condition-action statements.
Domain Term Correction
Fixing generic LLM mistranslations of instrumentation, valves, and piping terms.
Productivity Acceleration
2.5x throughput gain over traditional workflows while preserving human publication quality.
Questions fréquentes
Tarifs, délais, confidentialité et formats de fichiers—contactez-nous pour toute autre question.
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