Deep Learning for NLP and Speech Recognition
With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning technique
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Learning for NLP and Speech Recognition
Deep Learning for NLP and Speech Recognition
Uday Kamath • John Liu • James Whitaker
Deep Learning for NLP and Speech Recognition
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Uday Kamath Digital Reasoning Systems Inc. McLean VA, USA
John Liu Intelluron Corporation Nashville TN, USA
James Whitaker Digital Reasoning Systems Inc. McLean VA, USA
ISBN 978-3-030-14595-8 ISBN 978-3-030-14596-5 (eBook) https://doi.org/10.1007/978-3-030-14596-5 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To my parents Krishna and Bharathi, my wife Pratibha, the kids Aaroh and Brandy, my family and friends for their support. –Uday Kamath To Catherine, Gabrielle Kaili-May, Eugene and Tina for inspiring me always. –John Liu To my mother Nancy for her constant support, my family, and my friends who have blessed my life with love. –James Whitaker
Foreword
The publication of this book is a perfect timing. Existing books on deep learning either focus on theoretical aspects or are largely manuals for tools. But this book presents an unprecedented analysis and comparison of deep learning techniques for natural language and speech processing, closing the substantial gap between theory and practice. Each chapter discusses the theory underpinning the topics, and an exceptional collection of 13 case studies in different application areas is presented. They include classification via distributed representation, summarization, machine translation, sentiment analysis, transfer learning, multitask NLP, end-to-end speech, and question answering. Each case study includes the implementation and comparison of state-of-the-art techniques, and the accompanying website provides source co
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