Mobile Speech and Advanced Natural Language Solutions

Mobile Speech and Advanced Natural Language Solutions


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"Mobile Speech and Advanced Natural Language Solutions" presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding. Editors Amy Neustein and Judith A. Markowitz have recruited a talented group of contributors to introduce the next generation natural language technologies for practical speech processing applications that serve the consumer’s need for well-functioning natural language-driven personal assistants and other mobile devices, while also addressing business’ need for better functioning IVR-driven call centers that yield a more satisfying experience for the caller. This anthology is aimed at two distinct audiences: one consisting of speech engineers and system developers; the other comprised of linguists and cognitive scientists. The text builds on the experience and knowledge of each of these audiences by exposing them to the work of the other.

Product Details

ISBN-13: 9781489993663
Publisher: Springer New York
Publication date: 03/06/2015
Edition description: 2013
Pages: 371
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

About the Author

Amy Neustein, Ph.D. is the Founder and CEO of Linguistic Technology Systems.

Judith Markowitz, Ph.D. is the President of J. Markowitz, Consultants.

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 Query Stream as Applied to Mobile Voice Search byCiprian 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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