Natural Language Generation
Definition
Language generation automatically produces texts or other linguistic outputs.
The automatic generation of linguistic outputs from data, structures, or models.
Simply explained
A program creates a formulated text from existing information, such as a report.
Why it matters in practice
Helps realistically assess model quality, limits, and technical decisions.
Example from business
A draft report with source references is created from verified key figures.
Limits and pitfalls
- Confuse fluency with factual accuracy or release content without grounding.
Origin & history
NLG ranges from rule-based reporting systems to neural language models.
Use in mid-sized companies
- Possible application: A draft report with source references is created from verified key figures.
Frequently asked questions
What does Natural Language Generation (NLG) mean?
The automatic generation of linguistic outputs from data, structures, or models.
Which mistakes should be avoided?
Confuse fluency with factual accuracy or release content without grounding.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: