Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems

ISBN-13: 9781461469339 / Angielski / Twarda / 2013 / 315 str.

Amy Neustein; Judith A. Markowitz

Opis

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.

Spis treści

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 Kopeć, 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 Boroş, Dan Ştefănescu, 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

Homayoon Beigi

Chapter 14. Multilingual Systems, Translation Technology and Their Impact on the Translator’s Profession

Carlos S.C. Teixeira

Editors’ Biographies

O autorze

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

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

Blurb

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.