Parameter Setting
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Parameter Setting in Language Acquisition
This book provides a broad overview of parameter-setting theory in first and second language acquisition and refines the theory by revisiting and challenging the traditional assumptions that underlie it, based on cross-linguistic language data that cover a range of syntactic and phonological phenomena. From an historical perspective on parameter-setting theory to an introduction to its role in computational linguistics, neurolinguistics, and language change, the reader will find a critique of the most commonly made arguments, as well as an index of all the syntactic, phonological, lexical, and morphological parameters presented in the literature to date. A closer look at the theory itself addresses the following questions: What does a parameter-setting approach to language acquisition entail? What are the underpinnings of the theory? What issues and problems remain to be solved? The empirical studies carried out to test the null subject parameter and verb movement parameter are reviewed to re-examine long-standing theoretical assumptions as well as the learnability implications for first and second language acquisition.
Parameter Setting in Evolutionary Algorithms
Author: F.J. Lobo
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-03-16
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
Parameter Setting
Author: Thomas Roeper
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
In May 1985 the University of Massachusetts held the first conference on the parameter setting model of grammar and acquisition. The conference was conceived in the belief that there is a new possibility of tightly connecting grammatical studies and language acquisition studies, and that this new possibility has grown out of the new generation of ideas about the relation of Universal Grammar to the grammar of particular languages. The papers in this volume are all concerned in one way or another with the 'parametric' model of grammar, and with its role in explaining the acquisition of language. Before summarizing the accompanying papers, I would like to sketch the intellectual background of these new ideas. It has long been the acknowledged goal of grammatical theorists to explicate the relation between the experience of the child and the knowledge of the adult. Somehow, the child selects a unique grammar (by assumption) compatible with a random partially unreliable sample of some language. In the earliest work in generative grammar, starting with Chomsky's Aspects, and extending to such works as Jackendoffs Lexicalist Syntax (1977), the model of this account was the formal evaluation metric, accompanied by a general rule writing system. The model of acquisition was the following: the child composed a grammar by writing rules in the rule writing system, under the constraint that the rules must be compatible with the data, and that the grammar must be the one most highly valued by the evaluation metric.