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In this paper we propose a methodology for investigating the relationship between architectures of natural language generation (NLG) systems and stylistic properties of texts. Biber's (1988) methodology is used to obtain both the characterisation of style of our corpus and the division of the corpus into sets of linguistically similar texts. These sets will be used for studying the architectural aspects. | Proceedings of EACL 99 Investigating NLG Architectures taking style into consideration Daniel s. Paiva Information Technology Research Institute University of Brighton Lewes Road Brighton BN2 4GJ UK Daniel.Paiva@itri.brighton.ac.uk Abstract In this paper we propose a methodology for investigating the relationship between architectures of natural language generation NLG systems and stylistic properties of texts. Biber s 1988 methodology is used to obtain both the characterisation of style of our corpus and the division of the corpus into sets of linguistically similar texts. These sets will be used for studying the architectural aspects. 1 Introduction We started our research with a survey of 19 applied natural language generation NLG systems Paiva 1998 and noticed that almost all the systems followed a pipeline model there was a general agreement on the core NLG tasks that a system should perform e.g. aggregation lexicalisation etc. the surveyed systems mainly differed on the order the NLG tasks are executed see Cahill et al. 1999 We also noticed that the texts produced by the various systems were apparently quite different stylistically although we did not have a formal method to measure how much different they were and in order to explain how this variety of texts was obtained with the same type of architecture i.e. pipeline we have put forward the hypothesis that the order in which the NLG tasks are executed influences the kind of text that can be obtained i.e. a certain order would facilitate the generation of a certain type of text whilst another would not. This hypothesis goes in line with other researchers results which purport to show that architectural aspects of a NLG system depend on the characteristics of the text to be generated and vice versa. For instance 237 Robin 1994 argues for a revision-incremental architecture for the generation of structurally complex text with floating content i.e. content that can appear anywhere in the text and is .
