In this paper, we attempt to analyze lenition in Kuwaiti Spoken Arabic (KSA) within the framework of Optimality Theory (OT) and following constraints proposed by Johnson (1965), Kirchner (2001), Mustafawi (2006). (2006) analyzed regarding /dʒ/ /j/ Qatari Arabic. study test universality these (namely LAZY, LAZYRime, (LAZY/[+low])Rime, * GG). We conclude that regulate apply also propose more lang...

Optimality Theory catches on in linguistics, rst in phonology, then in syntax , and recently also at the semantics / pragmatics interface. In this paper we point at some parallels between principles employed in optimality the-oretic interpretation, and notions from the well-established eld of Game Theory. Optimality theoretic interpretation can be deened as what we call an \interpretation game"...

The object of the present work is the analysis of the convergence behaviour of a learning algorithm for grammars belonging to a special version – the maximum entropy version – of stochastic Optimality Theory. Stochastic Optimality Theory is like its deterministic predecessor, namely Optimality Theory as introduced by Prince and Smolensky, in that both are theories of universal grammar in the se...

Age replacement of technical units has received much attention in the reliability literature over the last four decades. Mostly, the failure time distribution for the units is assumed to be known, and minimal costs per unit of time is used as optimality criterion, where renewal reward theory simplifies the mathematics involved but requires the assumption that the same process and replacement st...

A sufficient condition is given that a certain drawing minimizes the crossing number. The condition is in terms of intersections in an arbitrary set system related to the drawing, and is like a correlation inequality.

Before we discuss the details of the Bayesian detection, let us take a quick tour about the overall framework to detect (or classify) an object in practice. In the Bayesian setting, we model observations as random samples drawn from some probability distributions. The classification process usually involves extracting features from the observations, and a decision rule that satisfies certain op...

Optimal control is a very important field of study not only in theory but in applications, and stochastic optimal control is also a significant branch of research in theory and applications. Based on the concept of fuzzy process, a fuzzy optimal control problem presented. Applying Bellman’s Principle of Optimality, the principle of optimality for fuzzy optimal control is derived, and then a fun...

Consider the problem of discriminating between two polynomial regression models on the q-cube [−1, 1] , q ≥ 2, and estimating parameters in the models. To find designs which are efficient for both model discrimination and parameter estimation, Zen and Tsai (2002) proposed a multiple-objective optimality criterion for the univariate case. In this work, taking the same Mγ-criterion which uses wei...