We describe a corpus of naturally occurring road ice weather forecasts and the associated weather prediction data they are based upon. We also show how observations from an analysis of this corpus have been applied to build a prototype Natural Language Generation (NLG) system for producing road ice forecasts. While this corpus occurs in a narrow domain, it has much wider applicability due to the nature of its spatial descriptions, whose primary communicative goal is to describe the interaction between meteorological parameters and geographic features.
|Title of host publication||Proceedings of LREC08 Workshop on Methodologies and Resources for Processing Spatial Language|
|Number of pages||8|
|Publication status||Published - 2008|
|Event||Methodologies and Resources for Processing Spatial Language - Marrakech, Morocco|
Duration: 31 May 2008 → …
|Workshop||Methodologies and Resources for Processing Spatial Language|
|Period||31/05/08 → …|