This book discusses the most recent advances in intelligent human-computer interaction, including fascinating new findings on talk-in-interaction, which is the province of conversation analysis, a new and emerging area in natural language understanding.
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.
Part I. Natural-Language Technology and the Global Marketplace
Chapter 1. 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)
Leiming Qian, Imed Zitouni, and John F. Pitrelli
Chapter 2. The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools
Kerstin Denecke and Nazli Soltani
Chapter 3. Machine Translation: The Enterprise Point of View
Brian Garr and Vadim Berman
Chapter 4. Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European Market
Detlev Artelt and Hassan Sawaf
Part II. Advanced NLP Methods and Applications
Chapter 5. Exploiting Lexical Sensitivity in Performing Word Sense Disambiguation
Oi Yee Kwong
Chapter 6. Summarizing Short Texts Through a Discourse-Centered Approach in a Multilingual Context
Daniel Alexandru Anechitei, Dan Cristea, Ioannidis Dimosthenis, Eugen Ignat, Diman Karagiozov, Svetla Koeva, Mateusz Kopec, and Cristina Vertan
Chapter 7. Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody: A Case Study in Romanian
Tiberiu Boros, Dan Stefanescu, and Radu Ion
Chapter 8. MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges
Sylvia Weber Russell
Chapter 9. Translation of Idiomatic Expressions Across Different Languages: A Study of the Effectiveness of TransSearch
Stéphane Huet and Philippe Langlais
Part III. Innovative NLP Tools for Physicians, Educators and Translators
Chapter 10. Argumentation-Based Dialogue Systems for Medical Training
Adela Grando, Laura Moss, Gemma Bel-Enguix, M. Dolores Jiménez-López, and John Kinsella
Chapter 11. Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring
Sidney D'Mello and Art Graesser
Chapter 12. TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairment in Learning English
Santichai Wicha, Bernadette Sharp, Anthony S. Atkins, Pradorn Sureephong, and Nopasit Chakpitak
Chapter 13. A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses
Chapter 14. Multilingual Systems, Translation Technology and Their Impact on the Translator's Profession
Carlos S.C. Teixeira
Über den Autor
Amy Neustein, Ph.D. is the Founder and CEO of Linguistic Technology Systems.
Judith Markowitz, Ph.D. is the President of J. Markowitz, Consultants.
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.
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