Where humans meet machines : innovative solutions for knotty natural-language problems
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書誌事項
Where humans meet machines : innovative solutions for knotty natural-language problems
Springer, c2013
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内容説明・目次
内容説明
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.
目次
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
Stephane 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 Jimenez-Lopez, 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
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