Argument Structure and Grammatical Relations
By (author) Christopher D. Manning
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Ergativity by Christopher D. Manning
Book DescriptionThis volume considers and examines some of the phenomena that have led languages to be considered 'ergative'. Languages considered 'ergative' have only been sparsely studied, and many fundamental questions in their analysis seem at best incompletely answered. This volume fills that void by focusing on some of the basic issues: when ergativity should be analysed as syntactic or morphological; whether languages can be divided into two classes of syntactically and morphologically ergative languages, and if so where the division should be drawn; and whether ergative arguments are always core roles or not. Christopher Manning's codification of syntactic approaches to dealing with ergative languages is based on a hypothesis he terms the 'Inverse Grammatical Relations hypothesis'. This hypothesis adopts a framework that decouples prominence at the levels of grammatical relations and argument structure. The result is two notions of subject - grammatical subject and argument structure subject and a uniform analysis of syntactically ergative and Philippine languages. These language groups, the syntactically ergative and Philippine languages, allow an inverse mapping in the prominence of the two highest terms between argument structure and grammatical relations. This volume combines good scholarship with innovative ideas into an important work that will appeal to a wide range of linguists and scholars.
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Book DetailsISBN: 9781575860367
(228mm x 152mm x 15mm)
Imprint: Centre for the Study of Language & Information
Publisher: Centre for the Study of Language & Information
Publish Date: 30-Jun-1996
Country of Publication: United States
Books By Author Christopher D. Manning
Introduction to Information Retrieval, Hardback (July 2008)
A class-tested and up-to-date textbook for introductory courses on information retrieval.
Foundations of Statistical Natural Language Processing, Hardback (July 1999)» View all books by Christopher D. Manning
An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.
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