Algebraic Structures in Natural Language

— —

Shalom Lappin (Queen Mary University of London, UK) Jean-Philippe Bernardy (Univ. of Gothenburg, Vastra Gotaland)

Algebraic Structures in Natural Language

Shalom Lappin (Queen Mary University of London, UK), Jean-Philippe Bernardy (Univ. of Gothenburg, Vastra Gotaland)

$147

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
23 December 2022

Philosophy of language; Computational linguistics; Algebra; Algorithms & data structures; Natural language & machine translation

Addresses a central problem in cognitive science, concerning the learning procedures through which humans acquire and represent natural language.

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

Edited by: Shalom Lappin (Queen Mary University of London UK), Jean-Philippe Bernardy (Univ. of Gothenburg, Vastra Gotaland)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 740g
ISBN: 9781032066547
ISBN 10: 1032066547
Pages: 290
Publication Date: 23 December 2022
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

1. On the Proper Role of Linguistically Oriented Deep Net Analysis in Linguistic Theorizing by Marco Baroni. 2. What Artificial Neural Networks Can Tell Us About Human Language Acquisition by Alex Warstadt and Samuel R. Bowman. 3. Grammar through Spontaneous Order by Nick Chater and Morten H. Christiansen. 4. Language is Acquired in Interaction by Eve V. Clark. 5. Why Algebraic Systems aren’t Sufficient for Syntax by Ben Ambridge. 6. Learning Syntactic Structures from String Input by Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, and Roger Levy. 7. Analyzing Discourse Knowledge in Pre-Trained LMs by Sharid Lo´aiciga. 8. Linguistically Guided Multilingual NLP by Olga Majewska, Ivan Vuli´c, and Anna Korhonen. 9. Word Embeddings are Word Story Embeddings (and that’s fine) by Katrin Erk and Gabriella Chronis. 10. Algebra and Language: Reasons for (Dis)content by Lawrence S. Moss. 11. Unitary Recurrent Networks by Jean-Philippe Bernardy and 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.

Reviews for Algebraic Structures in Natural Language

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