Linear Optimality Theory as a Model of Gradience in Grammar
Linear Optimality Theory as a Model of Gradience in Grammar
复制标题
作为语法梯度模型的线性最优理论
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Frank Keller
中科院分区：
文献类型：
--
作者：
Frank Keller
本文概述了线性最优性理论（LOT），最优性理论（OT）的一个变体，设计用于梯度可接受性判断数据的建模。我们总结了实验文献中报道的梯度数据的经验性质，并使用它们来激励L OT的设计。我们讨论了LOT的约束竞争和最优性的概念，以及一个新的配方的排名论证，这使得它有可能适用于标准的参数估计技术LOT。然后，LOT模型进行了比较，以标准OT，谐波语法，最近提出的概率版本的OT。
This paper provides an overview of Linear Optimality Theory (LOT), a variant of Optimality Theory (OT) designed for the modeling of gradient acceptability judgment data. We summarize the empirical properties of gradient data that have been reported in the experimental literature, and use them to motivate the design of L OT. We discuss LOT’s notions of constraint competition and optimality, as well as a n ew formulation of ranking argumentation, which makes it possible to apply standard parameter estimation techniques to LOT. Then the LOT model is compared to Standard OT, to Harmonic Grammar, and to recently proposed probabilistic versions of OT.