Enabling technology for multilingual natural language generation: the KPML development environment
Natural Language Engineering
Building applied natural language generation systems
Natural Language Engineering
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One of the main difficulties in building NLG systems is to produce a good requirement specification. A way to face this problem is by using a corpus to show the client the features of the system to be developed. In this paper we describe a method to elaborate that corpus and how can be used for a particular system. This method consists of five steps: text collection, input determination, text and input analysis, corpus construction, and pattern extraction.