Intelligent Post-Editing Solutions
Revolutionizing MT+PE WorkflowsAI Efficiency Curve
ISO 18587-certified MTPE services featuring:
▶ DeepL/Google MT engine preprocessing + proprietary domain adaptation
▶ Three-tier LQA verification (grammar/terminology/style)
▶ Dynamic terminology database with real-time TM synchronization
◼ 50+ language pairs ◼ 8,000 words/hour throughput ◼ 40-60% cost reduction
1
Intelligent Corpus Cleaning
Format standardization/Sensitive data filtering/Terminology alignment
2
Multi-engine Collaboration
DeepL + Proprietary engine + Domain-tuned models
3
Tiered Editing
PE1 basic editing → PE2 professional polishing → LQA validation
◼ IoT device manual ◼ Volume: 850k characters
◼ Terminology consistency: 99.2% ◼ Delivery time reduced by 60%
◼ E-commerce UGC content ◼ Daily processing: 32k entries
◼ Sentiment accuracy: 93% ◼ Cost reduction: 55%
EN→JA
"neural machine translation" → "ニューラル機械翻訳"
New term added
ZH→DE
"云计算" → "Cloud Computing"
Reused (23rd time)
1,234
Today's updates
86%
TM match rate
Technical Comparison:
- Workflow: Traditional translation uses linear "Translate → Proofread → Review" process, while MTPE implements closed-loop "MT Pre-translation → Tiered Editing → Smart QA" workflow
- Quality Assurance: Implements LISA QA 3.1 model with 52 evaluation metrics across 12 dimensions
- Efficiency Gains: Our data shows in technical documentation processing:
| Metric |
Traditional |
MTPE |
| Daily Throughput |
2,500 words |
8,000 words |
| Term Consistency |
92% |
99.5% |
| Cost/1k Words |
$100 |
$45 |
Five-Layer Protection System:
- Physical Isolation: Dedicated server clusters for financial/medical data
- Encrypted Transmission: TLS 1.3+SM4 dual-layer encryption
- Dynamic Masking: Auto-detection and replacement for 15 PII types (IDs/bank cards)
- Access Control: RBAC model with granular permissions
- Audit Trail: Complete operation logging with blockchain verification
Engine Selection Framework:
Based on 1,200+ project analyses, we recommend:
1
Content Type Analysis:
- Technical Docs → DeepL + Custom Engine
- Marketing Content → Google MT + GPT-4 Fine-tuning
- Asian Languages → NiuTrans + CTRANS
2
Quality Requirements:
- SAE J2450 Compliance Levels:
- Basic (75-84) → Single Engine
- Professional (85-94) → Dual Engine Fusion
- Publishing Grade (95+) → Triple Engine Consensus
5M+ Words Processed
