Deep Learning for Natural Language Processing: A Gentle Introduction

— —

Mihai Surdeanu (University of Arizona) Marco Antonio Valenzuela-Escárcega (University of Arizona)

Deep Learning for Natural Language Processing

A Gentle Introduction

Mihai Surdeanu (University of Arizona), Marco Antonio Valenzuela-Escárcega (University of Arizona)

$57.95

Paperback

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

Cambridge University Press
08 February 2024

Computational linguistics

Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems.

By: Mihai Surdeanu (University of Arizona), Marco Antonio Valenzuela-Escárcega (University of Arizona)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Weight: 498g
ISBN: 9781009012652
ISBN 10: 1009012657
Pages: 344
Publication Date: 08 February 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Mihai Surdeanu is Associate Professor in the Computer Science Department at the University of Arizona. He works in both academia and industry on NLP systems that process and extract meaning from natural language. Marco Antonio Valenzuela-Escárcega is a Research Scientist in the Computer Science department at the University of Arizona. He has worked on natural language processing projects in both industry and academia.

Reviews for Deep Learning for Natural Language Processing: A Gentle Introduction

'A wonderful introduction to natural language processing, emphasizing the machine learning fundamentals. The authors perfectly interleave theory with chapters giving practical implementations using PyTorch, and make it all seem easy, with a warm tone and clear and well-structured explanations. This book is a delight!' Dan Jurafsky, Professor of Linguistics and Computer Science, Stanford University