Rethinking Parameters
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Rethinking Parameters
Author: Luis Eguren
language: en
Publisher: Oxford University Press
Release Date: 2016-01-15
Parameters of linguistic variation were originally conceived, within the chomskyan Principles and Parameters Theory, as UG-determined options that were associated with grammatical principles and had a rich deductive structure. This characterization of parametric differences among languages has changed significantly over the years, especially so with the advent of Minimalism. This book collects a representative sample of current generative research on the status, origin and size of parameters. Often taking diverging views, the papers in the volume address some or all of the main debated topics in parametric syntax: i.e. are parameters provided by UG, or do they constitute emergent properties arising from points of underspecification?; in which component(s) of the language faculty are parameters to be found?; do clustering effects actually hold across languages?; do macroparameters exist alongside microparameters?; are there parameter hierarchies?; which is the origin and role of parameters in the process of language acquisition? The volume is organized into two parts. Part I ("The nature of variation and parameters") brings together studies whose main goal is to discuss general issues related to parameters (or variation more generally). Part II ("Parameters in the analysis of language variation: case studies") includes a number of works that deal with the empirical basis and proper formulation of well-known particular parameters: the Null Subject Parameter, the NP/DP Parameter, the Compounding Parameter, the Wh-Parameter and the Analyticity Parameter.
Statistical Rethinking
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Contemporary Linguistic Parameters
Author: Antonio Fabregas
language: en
Publisher: Bloomsbury Publishing
Release Date: 2015-11-19
Parameters have lain at the core of linguistic research in the generative tradition for decades. The theoretical questions they have raised are deep and broad: this reference text investigates how contemporary linguistics has best tried to answer them. This book looks at how parameters might be properly defined and what their locus might be :lexical information, functional heads, the computational system, the phonological branch of the grammar. What kind of data forms trigger acquisition of a parameter? Are parameters necessary or can we study languages without making reference to them? The questions looked at are not just theoretical: how can a theory of parameters be used to help understand second language acquisition, and what contributions can it make to the study of language typology? This is the right time to gather all this information, dispersed in many different kinds of publications by single authors and groups, into one comprehensive volume.