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

Part I. Natural-Language Technology and the Global MarketplaceChapter 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. PitrelliChapter 2. The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping ToolsKerstin Denecke and Nazli SoltaniChapter 3. Machine Translation: The Enterprise Point of ViewBrian Garr and Vadim BermanChapter 4. Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European MarketDetlev Artelt and Hassan SawafPart II. Advanced NLP Methods and ApplicationsChapter 5. Exploiting Lexical Sensitivity in Performing Word Sense DisambiguationOi Yee KwongChapter 6. Summarizing Short Texts Through a Discourse-Centered Approach in a Multilingual ContextDaniel Alexandru Anechitei, Dan Cristea, Ioannidis Dimosthenis, Eugen Ignat, Diman Karagiozov, Svetla Koeva, Mateusz Kope¿, and Cristina VertanChapter 7. Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody: A Case Study in RomanianTiberiu Borö, Dan ¿tef¿nescu, and Radu IonChapter 8. MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal ChallengesSylvia Weber RussellChapter 9. Translation of Idiomatic Expressions Across Different Languages: A Study of the Effectiveness of TransSearchStéphane Huet and Philippe LanglaisPart III. Innovative NLP Tools for Physicians, Educators and TranslatorsChapter 10. Argumentation-Based Dialogue Systems for Medical TrainingAdela Grando, Laura Moss, Gemma Bel-Enguix, M. Dolores Jiménez-López, and John KinsellaChapter 11. Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human TutoringSidney D¿Mello and Art GraesserChapter 12. TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairment in Learning EnglishSantichai Wicha, Bernadette Sharp, Anthony S. Atkins, Pradorn Sureephong, and Nopasit ChakpitakChapter 13. A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test ResponsesHomayoon BeigiChapter 14. Multilingual Systems, Translation Technology and Their Impact on the Translator¿s ProfessionCarlos S.C. TeixeiraEditors¿ Biographies