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Author Berwick, Robert C.
Title The acquisition of syntactic knowledge / Robert C. Berwick.
Imprint Cambridge, Mass. : MIT Press, ©1985.

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Author Berwick, Robert C.
Series The MIT Press series in artificial intelligence
MIT Press series in artificial intelligence.
Subject Artificial intelligence.
Computational linguistics.
Language acquisition.
Learning -- Mathematical models.
Description 1 online resource (xii, 368 pages) : illustrations
Bibliography Note Includes bibliographical references (pages 343-353) and index.
Note Print version record.
Access Use copy Restrictions unspecified star
Reproduction Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
System Details Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Note digitized 2010 HathiTrust Digital Library committed to preserve pda
Contents pt. 1. The computer model. Computation and language acquisition ; The acquisition model ; Learning phrase structure ; Learning transformations -- pt. 2. A theory of acquisition. Acquisition complexity ; Learning theory: applications ; Locality principles and acquisition.
Summary "This landmark work in computational linguistics is of great importance both theoretically and practically because it shows that much of English grammar can be learned by a simple program. The Acquisition of Syntactic Knowledge investigates the central questions of human and machine cognition: How do people learn language? How can we get a machine to learn language? It first presents an explicit computational model of language acquisition which can actually learn rules of English syntax given a sequence of grammatical, but otherwise unprepared, sentences. It shows that natural languages are designed to be easily learned and easily processed-an exciting breakthrough from the point of view of artificial intelligence and the design of expert systems because it shows how extensive knowledge might be acquired automatically, without outside intervention. Computationally, the book demonstrates how constraints that may be reasonably assumed to aid sentence processing also aid language acquisition. Chapters in the book's second part apply computational methods to the general problem of developmental growth, particularly the thorny problem of the interaction between innate genetic endowment and environmental input, with the intent of uncovering the constraints on the acquisition of syntactic knowledge. A number of "mini-theories" of learning are incorporated in this study of syntax with results that should appeal to a wide range of scholarly interests. These include how lexical categories, phonological rule systems, and phrase structure rules are learned; the role of semantic-syntactic interaction in language acquisition; how a "parameter setting" model may be formalized as a learning procedure; how multiple constraints (from syntax, thematic knowledge, or phrase structure) interact to aid acquisition; how transformational-type rules may be learned; and, the role of lexical ambiguity in language acquisition. Robert Berwick is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. The Acquisition of Syntactic Knowledge is sixteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady."
Note English.
ISBN 0585368910 (electronic bk.)
9780585368917 (electronic bk.)
0262268396 (electronic bk.)
9780262268394 (electronic bk.)
OCLC # 47009246
Additional Format Print version: Berwick, Robert C. Acquisition of syntactic knowledge. Cambridge, Mass. : MIT Press, ©1985 0262022265 (DLC) 85011460 (OCoLC)12104043

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