Quantifying Categorical and Conceptual Convergence in Child-Adult Dialogue
| Authors |
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| Publication date | 2014 |
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| 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) |
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| Event | 36th Annual Meeting of the Cognitive Science Society |
| Volume | Issue number | 1 |
| Pages (from-to) | 463-468 |
| Publisher | Austin, TX: Cognitive Science Society |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://escholarship.org/uc/item/8jk717mg |
| Downloads |
eScholarship UC item 8jk717mg
(Final published version)
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