The DOI matches its Crossref record.
Words and rules: the ingredients of language
Abstract
One of the world's science superstars presents a brilliantly illuminating, entertaining and cutting-edge account of how language actually works. How does language work? How do children learn their mother tongue? Why do languages change over time, making Chaucer's English almost incomprehensible? Steven Pinker explains the profound mysteries of language by picking a deceptively simple single phenomenon and examining it from every angle. That phenomenon - the existence of regular and irregular verbs - connects an astonishing array of topics in the sciences and humanities: the history of languages; the illuminating errors of children as they begin to speak; the sources of the major themes in the history of Western philosophy; the latest techniques in identifying genes and imaging the living brain. Pinker makes sense of all of this with the help of a single, powerful idea: that language comprises a mental dictionary of memorized words and a mental grammar of creative rules.
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
Contributions of memory circuits to language: the declarative/procedural model
Ullman, M. T. (2004) · Cognition · doi:10.1016/j.cognition.2003.10.008 · Cited by 1,893
How to grow a mind: Statistics, structure, and abstraction
Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011) · Science · doi:10.1126/science.1192788 · Cited by 1,815
Neural reuse: A fundamental organizational principle of the brain
Anderson, M. L. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000853 · Cited by 1,212
Topics in semantic representation
Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007) · Psychological Review · doi:10.1037/0033-295x.114.2.211 · Cited by 1,122
A neurocognitive perspective on language: The declarative/procedural model
Ullman, M. T. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094573 · Cited by 997
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2000-06-01
- Volume
- 37
- Issue
- 10
- Pages
- 37-5964-37-5964
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1553508775
- Cited by
- 1,231
- References
- 0
- Type
- book review
- 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: Words and rules: the ingredients of language. https://app.cochat.ai/papers/10.5860/choice.37-5964
- The paper
- Words and rules: the ingredients of language. (2000). Choice Reviews Online. https://doi.org/10.5860/choice.37-5964
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.