Word learning tasks as a window into the triggering problem for presuppositions
In this paper, we show that native speakers spontaneously divide the complex meaning of a new word into a presuppositional component and an assertive component. These results argue for the existence of a productive triggering algorithm for presuppositions, one that is not based on alternative lexical items nor on contextual salience. On a methodological level, the proposed learning paradigm can be used to test further theories concerned with the interaction of lexical properties and conceptual biases.
Authors
- Nadine Bade (ORCID: https://orcid.org/0000-0001-9506-3984)
- Emmanuel Chemla (ORCID: https://orcid.org/0000-0002-8423-5880)
- Philippe Schlenker (ORCID: https://orcid.org/0000-0001-9489-9325)
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of Potsdam (DE)
- Université Paris Sciences et Lettres (FR)
- École Normale Supérieure - PSL (FR)
- Institut Jean Nicod (FR)
- Laboratoire de Sciences Cognitives et Psycholinguistique (FR)
- New York University Paris (FR)
- École des hautes études en sciences sociales (FR)
Publication Details
- Journal
- Natural Language Semantics
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1007/s11050-024-09224-5
- Citations
- 2
- Primary Topic
- Child and Animal Learning Development
- Type
- article
- Field-Weighted Citation Impact
- 1.58
Funders
- Deutsche Forschungsgemeinschaft
- Agence Nationale de la Recherche
- Universität Potsdam
- European Research Council