Template-Based Natural Language Generation of Weather Forecasts

This paper presents a system for automatically generating weather forecasts in natural language. It uses a template-based approach, where pre-defined sentence structures are filled with specific weather data to create coherent and readable forecasts. The system aims to produce forecasts that are similar to those written by human meteorologists.