Minimalist Parsing
ISBN-13:
9780198795094
ISBN-10:
0198795092
Author:
Robert C. Berwick, Edward P. Stabler
Publication date:
2019
Publisher:
Oxford University Press
Format:
Paperback
210 pages
Category:
AI & Machine Learning
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9780198795094
ISBN-10:
0198795092
Author:
Robert C. Berwick, Edward P. Stabler
Publication date:
2019
Publisher:
Oxford University Press
Format:
Paperback
210 pages
Category:
AI & Machine Learning
,
Computer Science
Summary
Minimalist Parsing (ISBN-13: 9780198795094 and ISBN-10: 0198795092), written by authors
Robert C. Berwick, Edward P. Stabler, was published by Oxford University Press in 2019.
With an overall rating of 4.0 stars, it's a notable title among other
AI & Machine Learning
(Computer Science) books. You can easily purchase or rent Minimalist Parsing (Paperback) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $1.69.
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.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}