An alignment-capable microplanner for natural language generation

Abstract

Alignment of interlocutors is a well known psycholinguistic phenomenon of great relevance for dialogue systems in general and natural language generation in particular. In this paper, we present the alignmentcapable microplanner SPUD prime. Using a priming-based model of interactive alignment, it is flexible enough to model the alignment behaviour of human speakers to a high degree. This will allow for further investigation of which parameters are important to model alignment and how the human-computer interaction changes when the computer aligns to its users. © 2009 Association for Computational Linguistics.