Editors Amy Neustein and Judith A. Markowitz have recruited a talented group of contributors to introduce the next generation of natural language technologies to resolve some of the most vexing natural-language problems that compromise the performance of speech systems today. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. This anthology is aimed at speech engineers, system developers, computer scientists, AI researchers, and others interested in utilizing natural-language technology in both spoken and text-based applications.
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This anthology is aimed at speech engineers, system developers, computer scientists, AI researchers, and others interested in utilizing natural-language technology in both spoken and text-based applications.
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Preface.- Making the Case for an Open, Unified System Architecture in Response to Rapid Developments in the Natural Language Industry: Translingual Automatic Language Exploration System (TALES).- The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools.- Machine Translation: the Enterprise Point of View.- Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European Market.- Exploiting Lexical Sensitivity in Performing Word-Sense Disambiguation.- Summarizing Short Texts through a Discourse-Centered Approach in a Multilingual Context.- Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems:  Out-of-Vocabulary Words and Prosody -- A Case Study in Romanian.- MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges.- Translation of Idiomatic Expressions across Different Languages: A Study of the Effectiveness of TransSearch.- Argumentation-Based Dialog Systems for Medical Training.- Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring.- TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairments in Learning English.- A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses.- Multilingual Systems, Translation Technology and Their Impact on the Translator’s Profession.- Editors’ biographies.
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Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems brings humans and machines closer together by showing how linguistic complexities that confound the speech systems of today can be handled effectively by sophisticated natural-language technology. Some of the most vexing natural-language problems that are addressed in this book entail   recognizing and processing idiomatic expressions, understanding metaphors, matching an anaphor correctly with its antecedent, performing word-sense disambiguation, and handling out-of-vocabulary words and phrases. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. These contributing authors analyze the role of natural language technology in the global marketplace; they explore the need for natural language mapping-tools that can cull important data from the vast array of social-media postings; they describe innovative Natural Language Processing (NLP) methods and applications; and they offer NLP tools for physicians, educators, and translators.  Their contributions constitute diverse and multifaceted solutions for the knotty natural-language problems that permeate everyday human communications.Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems is designed for speech engineers, system developers, computer scientists, AI researchers, and others interested in utilizing natural-language technology in both spoken and text-based applications. 
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Brings humans and machines closer together by showing how linguistic complexities that confound the speech systems of today can be handled effectively by sophisticated natural-language technology Proposes innovative solutions to the problems of recognizing and processing idiomatic expressions, understanding metaphors, matching an anaphor correctly with its antecedent, performing word-sense disambiguation, and handling out-of-vocabulary words and phrases Provides an analysis of the role of natural language technology in the global marketplace Explores the need for natural language mapping-tools that can cull important data from the vast array of social-media postings Covers innovative Natural Language Processing (NLP) methods and applications Offers innovative NLP tools for physicians, educators, and translators Includes supplementary material: sn.pub/extras
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Produktdetaljer

ISBN
9781461469339
Publisert
2013-06-22
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

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

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