Named Entity Recognition (NER)
A natural language processing method used to identify and classify entities such as names, organisations, locations, and dates in text.
Definition
A natural language processing method used to identify and classify entities such as names, organisations, locations, and dates in text.
How It Works
Named Entity Recognition (NER) 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 named entity recognition (ner)
- 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 Natural Language Processing (NLP)