Computational Modelling of Structural Priming in Dialogue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Syntactic priming effects, modelled as increase in repetition probability shortly after a use of a syntactic rule, have the potential to improve language processing components. We model priming of syntactic rules in annotated corpora of spoken dialogue, extending previous work that was confined to selected constructions. We find that speakers are more receptive to priming from their interlocutor in task-oriented dialogue than in spontaneous conversation. Low-frequency rules are more likely to show priming.
Original languageEnglish
Title of host publicationProceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Place of PublicationNew York City, USA
PublisherAssociation for Computational Linguistics
Pages121-124
Number of pages4
Publication statusPublished - 1 Jun 2006

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