Quantifying Categorical and Conceptual Convergence in Child-Adult Dialogue

Open Access
Authors
Publication date 2014
Host editors
  • P. Bello
  • M. Guarini
  • M. McShane
  • B. Scassellati
Book title CogSci 2014
Book subtitle cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26
ISBN (electronic)
  • 9780991196708
Event 36th Annual Meeting of the Cognitive Science Society
Volume | Issue number 1
Pages (from-to) 463-468
Publisher Austin, TX: Cognitive Science Society
Organisations
  • Faculty of Science (FNWI)
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Using corpus-based methods inspired by recurrence quantification analysis, we investigate the patterns that shape coordination in dialogue, in particular during the process of language acquisition. We show that the turn-by-turn temporal development of conversation is a key factor influencing when and how interlocutors match each other’s linguistic representations. Although there is continuity between child-adult and adult-adult dialogue with respect to alignment of semantic representations, our results show important differences regarding syntactic alignment in adjacent turns, with adults showing less cross-speaker syntactic matches than expected by chance.
Document type Conference contribution
Language English
Published at https://escholarship.org/uc/item/8jk717mg
Downloads
eScholarship UC item 8jk717mg (Final published version)
Permalink to this page
Back