The production of referring expressions is influenced by the likelihood of next mention.

Reference production implicit causality implicit consequentiality next-mention bias predictability transfer-of-possession predicates

Journal

Quarterly journal of experimental psychology (2006)
ISSN: 1747-0226
Titre abrégé: Q J Exp Psychol (Hove)
Pays: England
ID NLM: 101259775

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 18 9 2023
pubmed: 7 2 2023
entrez: 6 2 2023
Statut: ppublish

Résumé

The present study provides converging evidence across three next-mention biases that likelihood of coreference influences the choice of referring expression: implicit causality (IC), the goal bias of transfer-of-possession (ToP) verbs, and implicit consequentiality (I-Cons). A pilot study and four experiments investigated coreference production in German using a forced-reference paradigm. The pilot study used object- and subject-biased IC verbs, showing a statistically marginal influence of next-mention bias on referential expressions, albeit mediated by grammatical function and feature overlap between antecedents. Experiment 1 focused on these features for object reference with ToP verbs, showing effects of coreference bias. In a within-participants comparison, Experiment 2 showed comparable effects for two classes of IC verbs, stimulus-experiencer and experiencer-stimulus predicates. Experiment 3 replicated and extended the IC form effects to another verb class, agent-evocator verbs. Finally, Experiment 4 revealed effects on anaphoric form also for I-Cons, while simultaneously replicating the effect observed for IC.

Identifiants

pubmed: 36744610
doi: 10.1177/17470218231157268
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2256-2284

Auteurs

Oliver Bott (O)

Fakultät für Linguistik und Literaturwissenschaft, Universität Bielefeld, Bielefeld, Germany.

Torgrim Solstad (T)

Fakultät für Linguistik und Literaturwissenschaft, Universität Bielefeld, Bielefeld, Germany.

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Classifications MeSH