Algebraic Structures in Natural Language, 9781032071046
Paperback
How humans learn language: Algebra, deep learning, or something in-between?

Algebraic Structures in Natural Language

$100.28

  • Paperback

    290 pages

  • Release Date

    4 October 2024

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Summary

Unlocking Language: Algebra vs. Deep Learning in Cognitive Science

Algebraic Structures in Natural Language tackles a core question in cognitive science: how do humans learn and represent language? For years, algebraic systems have been central to formal linguistics, AI, and the psychology of language, viewing linguistic knowledge as rules encoded in grammars and models.

However, the rise of deep learning, with its powerful, non-rule-based mechanism…

Book Details

ISBN-13:9781032071046
ISBN-10:1032071044
Author:Shalom Lappin, Jean-Philippe Bernardy
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:290
Release Date:4 October 2024
Weight:666g
Dimensions:254mm x 178mm
What They're Saying

Critics Review

“Lappin and Bernardy have assembled a great set of researchers who work on linguistic, cognitive science and natural language processing in deep neural network approaches to language. The result is a state of the art collection of interest to anyone with interests in DNNs and their connection to human language.” –Edward A. F. Gibson, Professor, MIT Department of Brain & Cognitive Sciences

About The Author

Shalom Lappin

Shalom Lappin is a Professor of Computational Linguistics at the University of Gothenburg, Professor of Natural Language Processing at Queen Mary University of London and Emeritus Professor of Computational Linguistics at King’s College London. His research focuses on the application of machine learning and probabilistic models to the representation and the acquisition of linguistic knowledge.

Jean-Philippe Bernardy is a researcher at the University of Gothenburg. His main research interest is in interpretable linguistic models, in particular, those built from first principles of algebra, probability and geometry.

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