The DOI matches its Crossref record.
Autosegmental and Metrical Phonology
Abstract
Autosegmental representation the skeletal tier the syllable metrical phonology lexical phonology further issues.
Overview
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Citations
Cited by
Natural language and natural selection
Pinker, S., & Bloom, P. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00081061 · Cited by 1,330
Unsupervised Learning of the Morphology of a Natural Language
Goldsmith, J. (2001) · Computational Linguistics · doi:10.1162/089120101750300490 · Cited by 788
Self-citationFitch, W. T. (2010) · doi:10.1017/cbo9780511817779 · Cited by 594
The WEAVER model of word-form encoding in speech production
Roelofs, A. (1997) · Cognition · doi:10.1016/s0010-0277(97)00027-9 · Cited by 561
OT constraints are categorical
McCarthy, J. J. (2003) · Phonology · doi:10.1017/s0952675703004470 · Cited by 466
Metadata
- Authors
- Rice, K., & Goldsmith, J. A.
- Venue
- Language
- Publisher
- JSTOR
- Published
- 1992-03
- Volume
- 68
- Issue
- 1
- Pages
- 149
- ISSN
- 0097-8507 (ISSN-L)
- OpenAlex
- W2022446405
- Cited by
- 1,057
- References
- 0
- FWCI
- 71.00
- Type
- journal article
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Autosegmental and Metrical Phonology. https://app.cochat.ai/papers/10.2307/416372
- The paper
- Rice, K., & Goldsmith, J. A. (1992). Autosegmental and Metrical Phonology. Language. https://doi.org/10.2307/416372
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.
