Cluster-based approaches to the statistical modelling of dialogue data in the British National Corpus
Gordon Hunter, Mark A. Huckvale · 2006
Spoken language dialogue systems (SLDSs) are becoming more and more widespread as interfaces between human users and automated systems. The speech recogniser is a key component of an SLDS, and a statistical language model is at the core of most successful recognisers. In this paper, we describe and compare several cluster-based strategies for modelling dialogue turns, applying them to pairs of successive short dialogue turns from the British National Corpus - the type of turn pairs likely to be common in the kind of highly interactive dialogues in which an SLDS would be expected to participate. (10 pages)