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Engineering - Signals & Communication | Mobile Speech and Advanced Natural Language Solutions

Mobile Speech and Advanced Natural Language Solutions

Neustein, Amy, Markowitz, Judith A. (Eds.)

2013, XII, 371 p. 86 illus., 43 illus. in color.

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  • Covers the latest advances in natural language processing, helping speech system developers and engineers design natural language features that make use of the most recent research findings for speech in mobile environments
  • Analyzes the growing markets for mobile speech and future trends in the use of natural language for mobile devices
  • Presents innovative methodological approaches to the study of natural language processing in addition to empirical research findings on natural language and mobility
  • Offers a balanced treatment of in-depth scholarly research on natural language processing and discussion of practical real-world speech applications for  personal assistants, smartphones and other speech systems that are enhanced by natural language capabilities
  • Includes contributions from members of IBM, AT&T, Apple, Google, Yahoo! Research, Sensory, TMA Associates, and other companies and universities specializing in this field

Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking treatment of natural speech in the mobile environment. This fourteen-chapter anthology brings together lead scientists from Apple, Google, IBM, AT&T, Yahoo! Research and other companies, along with academicians, technology developers and market analysts.  They analyze the growing markets for mobile speech, new methodological approaches to the study of natural language, empirical research findings on natural language and mobility, and future trends in mobile speech.  Mobile Speech opens with a challenge to the industry to broaden the discussion about speech in mobile environments beyond the smartphone, to consider natural language applications across different domains.


Among the new natural language methods introduced in this book are Sequence Package Analysis, which locates and extracts valuable opinion-related data buried in online postings; microintonation as a way to make TTS truly human-like; and several models of truly-intelligent mobile personal-assistants. The empirical studies in this volume include two grounding frameworks for designing mobile interfaces capable of engaging in human-like interaction with users. The book concludes with a discussion of “supernatural dialogues” that blend music, space, and other domains with traditional elements of natural language processing.


Mobile Speech and Advanced Natural Language Solutions is designed for speech engineers, system developers, linguists, cognitive scientists, and others interested in utilizing natural-language technology in diverse applications.

Content Level » Professional/practitioner

Keywords » Interactions with Internet Search Engines - Mobile Voice Search - Natural Language Processing - Personal-Assistant Model - Review Summarization - Robotics - Sequence Package Analysis - Siri - Text-to-Speech - “Super Natural” Language Dialogues

Related subjects » Energy Technology - Linguistics - Mechanical Engineering - Signals & Communication

Table of contents 

Preface: Amy Neustein and Judith Markowitz

Growing Markets for Mobile Speech

Chapter One: Beyond Siri: Exploring Spoken Language in Warehouse Operations, Offender Monitoring and Robotics by Judith Markowitz

Chapter Two Speech’s Evolving Role in Consumer Electronics…From Toys to Mobile by Todd Mozer

Chapter Three: The Personal-Assistant Model: Unifying the Technology Experience by William Meisel

Innovations in Natural Language Processing

Chapter Four: Natural Language Processing: Past, Present and Future by Deborah Dahl

Chapter Five: Sequence Package Analysis: A New Natural Language Method for Mining User-Generated Content for Mobile Uses by Amy Neustein

Chapter Six: Getting Past the Language Gap: Innovations in Machine Translation by Rodolfo Delmonte

Empirical Studies of Natural Language and Mobility Chapter

Seven: Language Technology in Mobile Devices: Two Grounding Frameworks by Jerome R. Bellegarda

Chapter Eight: Empirical Exploration of Language Modeling for the google.com Query Stream as Applied to Mobile Voice Search by Ciprian Chelba and Johan Schalkwyk

Chapter Nine: Information Extraction: Robust Mention Detection Systems by Imed Zitouni, John Pitrelli and Radu Florian

Chapter Ten: A Name is Worth a Thousand Pictures: Referential Practice in Human Interactions with Internet Search Engines by Robert J. Moore

Future Trends in Mobile Speech

Chapter Eleven: Summarizing Opinion-Related Information for Mobile Devices by Giuseppe Di  Fabbrizio, Amanda J. Stent and Robert Gaizauskas

Chapter Twelve: Mobile Speech and the Armed Services: Making a Case for Adding Siri-like Features to VAMTA (Voice-Activated Medical Tracking Application) by James A. Rodger and James A. George

Chapter Thirteen: Revisiting TTS – New Directions for Better Synthesis by Jonathan Pearl

Chapter Fourteen: “Super- Natural” Language Dialogues: In Search of Integration by Bruce Balentine

Editors’ biographies

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