36.147, Books: Deep Learning for Natural Language Processing: Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega

[The LINGUIST List]

LINGUIST List: Vol-36-147. Tue Jan 14 2025. ISSN: 1069 - 4875.

Subject: 36.147, Books: Deep Learning for Natural Language Processing: Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega

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Date: 14-Jan-2025
From: Ellena Moriarty [ellena.moriarty at cambridge.org]
Subject: Deep Learning for Natural Language Processing: Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega


Title: Deep Learning for Natural Language Processing
Subtitle: A Gentle Introduction
Publication Year: 2024

Publisher: Cambridge University Press
           http://www.cambridge.org/linguistics
Book URL: https://cambridge.org/9781009012652

Author(s): Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega

Paperback 9781009012652: £29.99 / $39.99 / 35 EURO
Hardback 9781316515662: £90.00 / $120.00 / 105.04 EURO

Abstract:

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.

Written In: English (eng)



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