Analysis of Linguistic Features Associated with Point of View for Generating Stylistically Appropriate Text

We describe our preliminary work on analyzing a corpus of clinical genetics patient letters. In this genre, a single letter is intended to serve multiple functions and is designed for audiences with different backgrounds, information needs, and affective responses to the information. The goal of the analysis is to identify stylistically-related features for natural language generation. Our hypothesis is that sets of these features are associated with different points of view.