Linear Optimality Theory as a Model of Gradience in Grammar

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

This chapter outlines the linear optimality theory (LOT), a variant of optimality theory primarily suggested by Keller to model gradient linguistic data. LOT is a framework intended to account for gradient judgment data; gradience in processing data and in corpus data has different properties from gradience in judgment data, and it is unlikely that the two types of gradience can be accounted for in a single, unified framework. The chapter provides a summary of the empirical properties of gradient judgments that motivate the design of LOT. It defines the components of an LOT grammar, and introduces the LOT notions of constraint competition and optimality. It gives a comparison with other variants of OT,particularly with standard OT and with harmonic grammar.This chapter contains a survey of more recent developments,such as probabilistic OT and variants of OT on maximum entropy models.
Original languageEnglish
Title of host publicationGradience in Grammar
PublisherOxford University Press
Number of pages19
ISBN (Print)9780199274796
Publication statusPublished - 19 Oct 2006


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