The DOI matches its Crossref record.
The Dependency Locality Theory: A Distance-Based Theory of Linguistic Complexity
Abstract
A major issue in understanding how language is implemented in the brain involves understanding the use of language in language comprehension and production. How-ever, before we look to the brain to see what areas are associated with language processing phenomena, it is necessary to have good psychological theories of the relevant behavioral phenomena. Recent results have suggested that constructing an interpretation for a sentence involves the moment-by-moment integration of a variety of different information sources, constrained by the available computational resources
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The P600 as an index of syntactic integration difficulty
Kaan, E., Harris, A., Gibson, E., & Holcomb, P. (2000) · Language and Cognitive Processes · doi:10.1080/016909600386084 · Cited by 993
Self-citationComputational principles of working memory in sentence comprehension
Lewis, R. L., Vasishth, S., & Van Dyke, J. A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.08.007 · Cited by 853
Dependency Distance as a Metric of Language Comprehension Difficulty
Liu, H. (2008) · Journal of Cognitive Science · doi:10.17791/jcs.2008.9.2.159 · Cited by 466
Consequences of the Serial Nature of Linguistic Input for Sentenial Complexity
Grodner, D., & Gibson, E. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_7 · Cited by 455
Self-citationCross-Linguistic Variation and Efficiency
Hawkins, J. A. (2014) · doi:10.1093/acprof:oso/9780199664993.001.0001 · Cited by 405
Metadata
- Authors
- Gibson, E.
- Venue
- Image, Language, Brain
- Publisher
- The MIT Press
- Published
- 2001-01-29
- Pages
- 95-126
- OpenAlex
- W199274192
- Cited by
- 937
- References
- 0
- FWCI
- 20.14
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Dependency Locality Theory: A Distance-Based Theory of Linguistic Complexity. https://app.cochat.ai/papers/10.7551/mitpress/3654.003.0008
- The paper
- Gibson, E. (2001). The Dependency Locality Theory: A Distance-Based Theory of Linguistic Complexity. Image, Language, Brain. https://doi.org/10.7551/mitpress/3654.003.0008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
