AI in Translation - Translation & Localization Valff

AI-Powered Translation Solutions

Next-Gen Translation Intelligence

AI Translation Workflow

Transformer-XL model processes 5,000 chars/sec with LQA 98 score. 72% error reduction supporting 200+ file formats.

Smart Terminology

Bi-LSTM based term recognition (99% accuracy). Real-time sync for 500k+ terms boosting consistency by 80%.

Automated PM

Intelligent resource allocation (45% efficiency gain). 97% risk prediction accuracy for 500+ concurrent projects.

AI Translation Technology FAQ

Q1: How is translation accuracy ensured?

A1: Three-tier quality control system:
1) Pre-trained model QA prediction (98.5% accuracy)
2) Human post-editing (ISO 18587 compliant)
3) Automated consistency checks (99.2% term matching)
Real-time LQA monitoring with dynamic optimization

Q2: How many languages are supported?

A2: 87 bidirectional language pairs covering 98% global GDP:
– 32 Asian languages (including dialects)
– 28 European languages
– 15 African languages
– 12 American languages
2-3 new languages added quarterly

Q3: How is sensitive data protected?

A3: Military-grade data protection:
• AES-256 encryption in transit/at rest
• On-premise deployment option
• GDPR/CCPA compliance workflows
• Blockchain audit trails
• Physically isolated storage

Q4: Can it integrate with existing CAT tools?

A4: Seamless integration with:
✓ SDL Trados Studio
✓ memoQ
✓ Wordfast
✓ XTM Cloud
✓ Memsource
Real-time sync via OpenAPI (<200ms latency)

Q5: Are industry-specific models available?

A5: Custom model training services:
• Medical: FDA-compliant document models
• Legal: Clause-parsing engines
• Finance: SEC report specialists
• Manufacturing: 3D annotation systems
5-7 business day training cycle

Q6: How are million-word projects handled?

A6: Distributed processing features:
▸ Auto-sharding (5M words/minute)
▸ Multi-node consistency control
▸ Intelligent load balancing
▸ Real-time paragraph-level tracking
Case study: 320M character project completed

Q7: What deep learning frameworks are used?

A7: Core technology stack:
◇ Core Engine: PyTorch 2.0 + Transformer-XL
◇ Terminology: TensorFlow 2.8 + Bi-LSTM
◇ QA Prediction: HuggingFace Transformers
◇ Project Management: XGBoost risk models
Full GPU acceleration support

Q8: Is API integration available?

A8: Enterprise API solutions include:
• RESTful API (5,000+ QPS)
• Python/Java/C# SDKs
• Postman test suite
• Swagger documentation
• Sandbox environment
230M daily API calls processed

Q9: How is terminology synchronization managed?

A9: Multi-active terminology system:
✓ Global 5-data center replication
✓ <150ms update propagation
✓ Auto conflict detection
✓ Field-level version control
✓ 500k+ term instant search

Q10: What certifications are obtained?

A10: International certifications:
• ISO 17100:2015
• ISO 18587:2017
• ISO 27001:2022
• HIPAA Compliance
• GDPR Data Processing

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