Deterministic NLG
Deterministic NLG is a method of Natural Language Generation (NLG) in which text is generated on the basis of predefined rules and logics. In contrast to generative AI approaches, it produces predictable and reliable results.
A key benefit is the precise control through rules or templates, which increases reliability as no incorrect information is generated. It ensures consistent wording for product descriptions, reports or formalised content.
The texts are generated from structured data, which ensures accuracy. Linguistic diversity is generated through ML-based linguistics and GPT support. Systems can automatically create texts in many languages, which promotes multilingualism.
Application areas are:
- E-commerce: Automated product and category descriptions
- Finance: Reports and analyses
- Pharmaceutical industry: Clinical study reports
- Publishing: Automation of news articles
Technologies and methods include:
- Data-to-text automation
- Rule-based systems
- ML-based linguistics
- GPT integration
- DeepL integration
When using GPT to generate texts based on product data, nonsensical information can occur, especially in German, which means a great deal of effort for quality assurance.