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Addresses a central problem in cognitive science, concerning the learning procedures through which humans acquire and represent natural language.
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Brings together world leading scholars from a range of disciplines, includingcomputational linguistics, psychology, behavioural science, and mathematical linguistics.
- Will appeal to researchers in computational and mathematical linguistics, psychology and behavioral science, AI and NLP.
- Represents a wide spectrum of perspectives
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.
Title: Algebraic Structures in Natural Language
Author:
ISBN: 9781032066547
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-12-23
Number of Pages: 290
Weight: 0.8152 kg
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