Natural Language Generation (NLG) is a branch of AI that converts data into human-readable text.
Unlike NLP, which focuses on understanding text, NLG focuses on creating meaningful and coherent language from structured or unstructured data.
How NLG Works
- Input Data: Provide structured data, numbers, or insights.
- Content Planning: Decide what information to include.
- Sentence Planning: Determine how to express the information.
- Linguistic Realization: Generate grammatically correct sentences.
- Output: Produce readable text that conveys the intended meaning.
Advantages of NLG
- Automates content creation
- Converts complex data into understandable text
- Reduces manual reporting time
- Enables personalized communication at scale
Disadvantages
- Limited creativity compared to humans
- May produce repetitive or generic content
- Requires high-quality input data for accuracy
Real-World Examples
- Financial reports automatically generated from data
- Weather forecasts written by AI systems
- Chatbots and virtual assistants responding to queries
- Content summarization for news articles
- Personalized marketing messages
Conclusion
NLG empowers AI to generate natural, meaningful text from data, transforming reporting, communication, and content creation across industries.
Citations
https://savanka.com/category/learn/ai-and-ml/
https://www.w3schools.com/ai/