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The Acquisition of Syntactic Knowledge (Artificial Intelligence) [Hardcover]

Robert C. Berwick (Author)

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Book Description

August 14, 1985 0262022265 978-0262022262

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.


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Inside This Book (learn more)
First Sentence:
One of the important goals of modern linguistic theory is to explain how it is that children can acquire their first language. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
first buffer cell, second buffer cell, third buffer cell, active node stack, current active node, given thematic representation, lexical equivalence class, base phrase structure rules, known grammar rules, righthand contexts, lefthand context, parsability constraints, packet pointer, first buffer position, cyclic node, grammar rule actions, efficient parsability, positive example sentences, segmental systems, original parser, parse proceeds, acquisition complexity, stiff vocal cords, auxiliary verb system, nonterminal names
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Subset Principle, Projection Principle, Article Adj, The Acquz
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