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Where Humans Meet Machines

Innovative Solutions for Knotty Natural-Language Problems

  • Book
  • © 2013

Overview

Editors:
  1. Amy Neustein

    1. Linguistic Technology Systems, Fort Lee, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Judith A. Markowitz

    1. J. Markowitz Consultants, Chicago, USA

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    You can also search for this editor in PubMed   Google Scholar

  • 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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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
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  3. Advanced NLP Methods and Applications

    1. Front Matter

      Pages 79-79
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    2. Exploiting Lexical Sensitivity in Performing Word Sense Disambiguation

      • Oi Yee Kwong
      Pages 81-107

    3. 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 et al.
      Pages 109-135

    4. Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody: A Case Study in Romanian

      • Tiberiu BoroÈ™, Dan Ștefănescu, Radu Ion
      Pages 137-161

    5. MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges

      • Sylvia Weber Russell
      Pages 163-183

    6. Translation of Idiomatic Expressions Across Different Languages: A Study of the Effectiveness of TransSearch

      • Stéphane Huet, Philippe Langlais
      Pages 185-209

  4. Innovative NLP Tools for Physicians, Educators and Translators

    1. Front Matter

      Pages 211-211
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    2. Argumentation-Based Dialogue Systems for Medical Training

      • Adela Grando, Laura Moss, Gemma Bel-Enguix, M. Dolores Jiménez-López, John Kinsella
      Pages 213-232

    3. Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring

      • Sidney D’Mello, Art Graesser
      Pages 233-269

    4. TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairment in Learning English

      • Santichai Wicha, Bernadette Sharp, Anthony S. Atkins, Pradorn Sureephong, Nopasit Chakpitak
      Pages 271-283

    5. A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses

      • Homayoon Beigi
      Pages 285-297

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

      • Carlos S. C. Teixeira
      Pages 299-314

  5. Back Matter

    Pages 315-315
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Keywords

About this book

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.

Editors and Affiliations

  • Linguistic Technology Systems, Fort Lee, USA

    Amy Neustein

  • J. Markowitz Consultants, Chicago, USA

    Judith A. Markowitz

About the editors

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

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

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