On Parametric (and Non-Parametric) Variation
Abstract: This article raises the issue of the correct characterization of ‘Parametric Variation’ in syntax and phonology. After specifying their theoretical commitments, the authors outline the relevant parts of the Principles–and–Parameters framework, and draw a three-way distinction among Universal Principles, Parameters, and Accidents. The core of the contribution then consists of an attempt to provide identity criteria for parametric, as opposed to non-parametric, variation. Parametric choices must be antecedently known, and it is suggested that they must also satisfy seven individually necessary and jointly sufficient criteria. These are that they be cognitively represented, systematic, dependent on the input, deterministic, discrete, mutually exclusive, and irreversible. https://bioling.psychopen.eu/index.php/bioling/article/view/8733
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
On Parametric (and Non-Parametric) Variation ; volume:3 ; number:4 ; day:13 ; month:12 ; year:2009
Biolinguistics ; 3, Heft 4 (13.12.2009)
- Creator
-
Smith, Neil
Law, Ann
- DOI
-
10.5964/bioling.8733
- URN
-
urn:nbn:de:101:1-2022110709240450076118
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Smith, Neil
- Law, Ann
Other Objects (12)
On non-parametric fatigue optimization
Confidence regions, non-parametric regression
Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts
Confidence sets and non-parametric regression
Homothetic Efficiency. A Non-Parametric Approach
Spatial non-parametric Bayesian clustered coefficients
Homothetic Efficiency. A Non-Parametric Approach
Evaluation of maize genotypes using parametric and non-parametric stability estimates
Parametric and non-parametric gradient matching for network inference: a comparison
Semi- and non-parametric flood frequency analysis
A Non-parametric Discrete Fracture Network Model
Dynamic Non-parametric Monitoring of Air-Pollution
On non-parametric fatigue optimization
Confidence regions, non-parametric regression
Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts
Confidence sets and non-parametric regression
Homothetic Efficiency. A Non-Parametric Approach
Spatial non-parametric Bayesian clustered coefficients
Homothetic Efficiency. A Non-Parametric Approach
Evaluation of maize genotypes using parametric and non-parametric stability estimates
Parametric and non-parametric gradient matching for network inference: a comparison
Semi- and non-parametric flood frequency analysis
A Non-parametric Discrete Fracture Network Model
Dynamic Non-parametric Monitoring of Air-Pollution
On non-parametric fatigue optimization
Confidence regions, non-parametric regression
Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts
Confidence sets and non-parametric regression
Homothetic Efficiency. A Non-Parametric Approach
Spatial non-parametric Bayesian clustered coefficients
Homothetic Efficiency. A Non-Parametric Approach
Evaluation of maize genotypes using parametric and non-parametric stability estimates
Parametric and non-parametric gradient matching for network inference: a comparison
Semi- and non-parametric flood frequency analysis
A Non-parametric Discrete Fracture Network Model