LLM-Powered TQE for SDLXLIFF
LLM-powered Translation Quality Analysis for SDLXLIFF files delivers context-aware, AI-driven evaluation of translated content using OpenAI GPT models. It analyses accuracy, fluency, style, and coherence, injecting structured feedback directly into Trados Studio for fast, intelligent quality review.
Description
LLM-Powered Translation Quality Analysis for SDLXLIFF Files
Use OpenAI’s GPT models to perform intelligent, context-aware quality evaluation of translated content. Unlike rule-based QA tools, this solution understands meaning, detects fluency and style issues, and analyses consistency across multiple segments.
Key Features
- Context-aware review of SDLXLIFF files directly for Trados Studio
- Multi-dimensional scoring: Accuracy, Fluency, Style, and Context Coherence
- Structured, filterable comments and detailed PDF reports
- Batch processing with 50 concurrent API requests for high-speed analysis
- Smart token management to reduce OpenAI costs by up to 80%
- Supports configurable review profiles and content types (technical, marketing, legal, UI)
Output
Generates annotated SDLXLIFFs ready for Trados Studio, summary reports with scores, and optional JSON data for further analysis.
Requirements
Python 3.8+, OpenAI API key, and internet access.
Translation quality evaluation powered by AI — designed for human understanding.
Additional information
| technology | python, AI |
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