ckanner / jta

What it does

• Agentic Reflection Mechanism. AI acts as its own quality reviewer through a two-step process - first translating, then critically evaluating and refining its own work
• Multi-Dimensional Quality Evaluation. The AI examines translations across 4 key dimensions: accuracy (no mistranslations), fluency (natural grammar), style (cultural appropriateness), and terminology (consistency)
• Self-Generated Improvements. Rather than relying on predefined rules, the AI generates specific, contextual suggestions and applies them to produce better translations
• Iterative Refinement. Each translation goes through translate → reflect → improve cycles, ensuring higher quality output
• Trade-off. 3x API calls per batch for significantly improved translation quality