Evidence map›Paper›PMID 37704456›Full record

ReviewTrends in cognitive sciences2023

Prediction during language comprehension: what is next?

Rachel Ryskin, Mante S Nieuwland

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Eye movements reveal a dissociation between prediction and structural processing difficulty in language comprehension.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Review
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  19. Agreement Errors Disrupt Eye Movements in Reading Only When They Are Detected.Open mind : discoveries in cognitive science · 2026
    Article
  20. Do Language Models Know Who Did What to Whom?Open mind : discoveries in cognitive science · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rachel RyskinDepartment of Cognitive and Information Sciences, University of California Merced, 5200 Lake Road, Merced, CA 95343, USA. Electronic address: rryskin@ucmerced.edu.
Mante S NieuwlandMax Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands.

Funding

Prediction in Language Across the LifespanR15AG073948 · NIA · UNIVERSITY OF CALIFORNIA, MERCED · PI RYSKIN, RACHEL · 2021 to 2021
$455k
NIA NIH HHS R15 AG073948
6 · The paper itself

Abstract

Prediction is often regarded as an integral aspect of incremental language comprehension, but little is known about the cognitive architectures and mechanisms that support it. We review studies showing that listeners and readers use all manner of contextual information to generate multifaceted predictions about upcoming input. The nature of these predictions may vary between individuals owing to differences in language experience, among other factors. We then turn to unresolved questions which may guide the search for the underlying mechanisms. (i) Is prediction essential to language processing or an optional strategy? (ii) Are predictions generated from within the language system or by domain-general processes? (iii) What is the relationship between prediction and memory? (iv) Does prediction in comprehension require simulation via the production system? We discuss promising directions for making progress in answering these questions and for developing a mechanistic understanding of prediction in language.

Indexed as

ComprehensionLanguageAnticipation, PsychologicalHumanscognitive controlindividual variabilitylanguagelearningmemoryprediction

Identifiers

PMID37704456
PMCPMC11614350

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.