System Demonstration Interactive Generation And Knowledge Administration In Multimeteo

We believe that it is important from the practical point of view to use natural language generation (NLG) in real world applications. The key benefits are outlined as follows: • Higher quality of generated texts • Cost effective maintenance and adaptability • Usability•(including acceptability by the users). Generally, it takes "exotic" (linguists, knowledge engineers) manpower to maintain, and adapt a NLG system. To avoid this problem, we have developed a Knowledge Administration • station, which is usable by the target population (in our project, weather forecasters). On the other hand, the system is designed to help the forecasters and not replace them. It is able to adapt to each forecaster's style and manage enhancements• they wish to bring to their texts. With that in mind, the Interactive Generation environment was designed to allow forecasters to modify generated texts in their native language, and then generate weather forecasts in several foreign languages based on those modifications. Interactive• Generation is a viable alternative to Automatic Translation.