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COMET
A neural evaluation metric scoring translation quality based on semantic similarity and model judgments.
Definition
A neural evaluation metric scoring translation quality based on semantic similarity and model judgments.
How It Works
COMET helps teams build predictable AI and translation workflows by setting clear expectations for quality, consistency, and decision-making.
In production environments, this concept is applied with process controls such as human review, terminology alignment, and repeatable quality checks across multilingual content.
Key Concepts
- core principle of comet
- workflow-level implementation
- terminology and quality consistency
- human validation before publication
Where It Is Used
- localisation workflows
- AI translation pipelines
- multilingual content production
- cross-referencing related concepts such as CAT Tools