Aggregation in the NL-generator of the Visual and Natural language Specification Tool

In this paper we show how to use the socalled aggregation technique to remove redundancies in the fact base of the Visual and Natural language Specification Tool (VINST). The current aggregation modules of the natural language generator of VINST is described and an improvement is proposed with one new aggregation rule and a bidirectional grammar.