Deconstructing Ergativity

Download or read book Deconstructing Ergativity written by Maria Polinsky and published by Oxford University Press. This book was released on 2016 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nominative-accusative and ergative are two common alignment types found across languages. In the former type, the subject of an intransitive verb and the subject of a transitive verb are expressed the same way, and differently from the object of a transitive. In ergative languages, the subject of an intransitive and the object of a transitive appear in the same form, the absolutive, and the transitive subject has a special, ergative, form. Ergative languages often follow very different patterns, thus evading a uniform description and analysis. A simple explanation for that has to do with the idea that ergative languages, much as their nominative-accusative counterparts, do not form a uniform class. In this book, Maria Polinsky argues that ergative languages instantiate two main types, the one where the ergative subject is a prepositional phrase (PP-ergatives) and the one with a noun-phrase ergative. Each type is internally consistent and is characterized by a set of well-defined properties. The book begins with an analysis of syntactic ergativity, which as Polinsky argues, is a manifestation of the PP-ergative type. Polinsky discusses diagnostic properties that define PPs in general and then goes to show that a subset of ergative expressions fit the profile of PPs. Several alternative analyses have been proposed to account for syntactic ergativity; the book presents and outlines these analyses and offers further considerations in support of the PP-ergativity approach. The book then discusses the second type, DP-ergative languages, and traces the diachronic connection between the two types. The book includes two chapters illustrating paradigm PP-ergative and DP-ergative languages: Tongan and Tsez. The data used in these descriptions come from Polinsky's original fieldwork hence presenting new empirical facts from both languages.