Information-Based Syntax and Semantics Volume 1 Fundamentals

Pollard, Carl & Sag, Ivan A.

ISBN 10: 0937073245 / ISBN 13: 9780937073247

Published by Center for the Study of Language and Information, Menlo Park, CA, 1987

About this Item

233 pages; 6 x 8 7/8" This is Volume 1 only. CSLI Lecture Notes, Number 13. Light creasing and wear to spine and cover edges and corners; two 1/2" tears to rear cover top edge that is repaired with clear tape.

Seller Inventory # 127317

Bibliographic Details

• Title: Information-Based Syntax and Semantics Volume 1 Fundamentals
• Publisher: Center for the Study of Language and Information, Menlo Park, CA
• Publication Date: 1987
• Language: English
• ISBN 10: 0937073245
• ISBN 13: 9780937073247
• Binding: paperback
• Condition: very good

About this title

Synopsis

A long-standing, near-universal, and erroneous practice of teaching syntax in a void exists, as if the communicative function of language had nothing to do with syntax. And semantics has customarily been taught in sequence after syntax, or else not at all. Based upon graduate courses taught at Stanford University, this work seeks to redress this situation by building up syntactic and semantic aspects of grammatical theory in an integrated way from the start, under the assumption that neither is of linguistic interest divorced from the other. The particular theory presented, head-driven phrase structure grammar (HPSG) - so-called because of its central notion of the grammatical head - is an information-based (or 'unification-based' theory that has its roots in a number of different research programs within linguistics and neighboring disciplines such as philosophy and computer science. Thus HPSG draws upon and attempts to synthesize insights and perspectives from several families of contemporary syntactic theories, such as categorial grammar, lexical-functional grammar, generalized phrase structure grammar, and government-binding theory; but many of its key ideas arise from semantic theories like situation semantics and discourse representation theory, and from computational work in such areas as knowledge representation, data type theory, and formalisms based upon the unification of partial information.