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Oxford University Press
Oxford University Press - Minimalist Parsing - Hardcover
Oxford University Press - Minimalist Parsing - Hardcover
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Binding: Hardcover
Description: This book is the first dedicated to linguistic parsing - the processing of natural language according to the rules of a formal grammar - in the Minimalist Program. While Minimalism has been at the forefront of generative grammar for several decades it often remains inaccessible to computer scientists and others in adjacent fields. This volume makes connections with standard computational architectures provides efficient implementations of some fundamental minimalist accounts of syntax explores implementations of recent theoretical proposals and explores correlations between posited structures and measures of neural activity during human language comprehension. These studies will appeal to graduate students and researchers in formal syntax computational linguistics psycholinguistics and computer science.
Title: Minimalist Parsing
Brand: Oxford University Press
Barcode: 9780198795087
Pages: 210 Pages
Publication Date: 11/26/2019
Category: Computer Science
Description: This book is the first dedicated to linguistic parsing - the processing of natural language according to the rules of a formal grammar - in the Minimalist Program. While Minimalism has been at the forefront of generative grammar for several decades it often remains inaccessible to computer scientists and others in adjacent fields. This volume makes connections with standard computational architectures provides efficient implementations of some fundamental minimalist accounts of syntax explores implementations of recent theoretical proposals and explores correlations between posited structures and measures of neural activity during human language comprehension. These studies will appeal to graduate students and researchers in formal syntax computational linguistics psycholinguistics and computer science.
Title: Minimalist Parsing
Brand: Oxford University Press
Barcode: 9780198795087
Pages: 210 Pages
Publication Date: 11/26/2019
Category: Computer Science
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