Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Predicting while comprehending language: A theory and review

Pickering, Martin J. and Gambi, Chiara ORCID: 2018. Predicting while comprehending language: A theory and review. Psychological Bulletin 144 (10) , pp. 1002-1044. 10.1037/bul0000158

[thumbnail of Gambi. Predicting while.pdf]
PDF - Accepted Post-Print Version
Download (841kB) | Preview


Researchers agree that comprehenders regularly predict upcoming language, but they do not always agree on what prediction is (and how to differentiate it from integration) or what constitutes evidence for it. After defining prediction, we show that it occurs at all linguistic levels from semantics to form, and then propose a theory of which mechanisms comprehenders use to predict. We argue that they most effectively predict using their production system (i.e., prediction-by-production): They covertly imitate the linguistic form of the speaker’s utterance and construct a representation of the underlying communicative intention. Comprehenders can then run this intention through their own production system to prepare the predicted utterance. But doing so takes time and resources, and comprehenders vary in the extent of preparation, with many groups of comprehenders (non-native speakers, illiterates, children, and older adults) using it less than typical native young adults. We thus argue that prediction-by-production is an optional mechanism, which is augmented by mechanisms based on association. Support for our proposal comes from many areas of research (electrophysiological, eye-tracking, and behavioral studies of reading, spoken language processing in the context of visual environments, speech processing, and dialogue).

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Publisher: American Psychological Association
ISSN: 0033-2909
Date of First Compliant Deposit: 17 April 2018
Date of Acceptance: 11 April 2018
Last Modified: 07 Nov 2023 10:05

Citation Data

Cited 195 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics