202511191203 Status: idea Tags: Datascience, NLP
NLG Natural Language Generation
NLG is part of NLP. NLG is the part that translates machine understanding into human understandable information. Whereas NLU is kind-of the opposite, which focuses on understanding humans
NLG is used in chatbots, summarization, and translation. Natural Language Generation (NLG) is a subfield of AI and NLP concerned with automatically producing contextually relevant text from structured or unstructured data. It enables machines to articulate thoughts or observations in natural language
- Focuses on the production aspect of language.
- Converts raw data (e.g., tables, knowledge graph, events) into readable text.
- Applications: automated news, personalized emails, financial reports, intelligent chatbots.
Transclude of Natural-Language-Processing-NLP#nlp-vs-nlu-natural-language-understanding-nlu-vs-nlg-natural-language-generation-nlg
References
- Dit is iets wat we leren voor Datascience. dit was informatie vanuit avans 2-2 datascience 2025-11-12. en daarbij horen deze slides
- I was writing a note about NLP which mentions this.