Paper: Computational Modelling Of Structural Priming In Dialogue

ACL ID N06-2031
Title Computational Modelling Of Structural Priming In Dialogue
Venue Human Language Technologies
Session Short Paper
Year 2006
Authors

Syntactic priming effects, modelled as in- crease in repetition probability shortly af- ter a use of a syntactic rule, have the potential to improve language processing components. We model priming of syn- tactic rules in annotated corpora of spo- ken dialogue, extending previous work that was confined to selected construc- tions. We find that speakers are more re- ceptive to priming from their interlocutor in task-oriented dialogue than in spona- neous conversation. Low-frequency rules are more likely to show priming.