Literature DB >> 28756351

Linguistic generalization on the basis of function and constraints on the basis of statistical preemption.

Florent Perek1, Adele E Goldberg2.   

Abstract

How do people learn to use language in creative but constrained ways? Experiment 1 investigates linguistic creativity by exposing adult participants to two novel word order constructions that differ in terms of their semantics: One construction exclusively describes actions that have a strong effect; the other construction describes actions with a weaker but otherwise similar effect. One group of participants witnessed novel verbs only appearing in one construction or the other, while another group witnessed a minority of verbs alternating between constructions. Subsequent production and judgment results demonstrate that participants in both conditions extended and accepted verbs in whichever construction best described the intended message. Unlike related previous work, this finding is not naturally attributable to prior knowledge of the likely division of labor between verbs and constructions or to a difference in cue validity. In order to investigate how speakers learn to constrain generalizations, Experiment 2 includes one verb (out of 6) that was witnessed in a single construction to describe both strong and weak effects, essentially statistically preempting the use of the other construction. In this case, participants were much more lexically conservative with this verb and other verbs, while they nonetheless displayed an appreciation of the distinct semantics of the constructions with new novel verbs. Results indicate that the need to better express an intended message encourages generalization, while statistical preemption constrains generalization by providing evidence that verbs are restricted in their distribution.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Argument structure constructions; Artificial language learning; Generalization; Language acquisition; Novel construction learning; Statistical learning

Mesh:

Year:  2017        PMID: 28756351     DOI: 10.1016/j.cognition.2017.06.019

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  2 in total

1.  When regularization gets it wrong: children over-simplify language input only in production.

Authors:  Jessica F Schwab; Casey Lew-Williams; Adele E Goldberg
Journal:  J Child Lang       Date:  2018-02-21

2.  Rational and Flexible Adaptation of Sentence Production to Ongoing Language Experience.

Authors:  Malathi Thothathiri
Journal:  Front Psychol       Date:  2021-03-25
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.