Ebook: Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems
- Tags: Signal Image and Speech Processing, Computational Linguistics, Machinery and Machine Elements, Power Electronics Electrical Machines and Networks
- Year: 2013
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xv
Front Matter....Pages 1-1
Making the Case for an Open, Unified System Architecture in Response to Rapid Developments in the Natural Language Industry: Translingual Automatic Language Exploration the System (TALES)....Pages 3-25
The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools....Pages 27-43
Machine Translation: The Enterprise Point of View....Pages 45-57
Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European Market....Pages 59-77
Front Matter....Pages 79-79
Exploiting Lexical Sensitivity in Performing Word Sense Disambiguation....Pages 81-107
Summarizing Short Texts Through a Discourse-Centered Approach in a Multilingual Context....Pages 109-135
Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody: A Case Study in Romanian....Pages 137-161
MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges....Pages 163-183
Translation of Idiomatic Expressions Across Different Languages: A Study of the Effectiveness of TransSearch ....Pages 185-209
Front Matter....Pages 211-211
Argumentation-Based Dialogue Systems for Medical Training....Pages 213-232
Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring....Pages 233-269
TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairment in Learning English....Pages 271-283
A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses....Pages 285-297
Multilingual Systems, Translation Technology and Their Impact on the Translator’s Profession....Pages 299-314
Back Matter....Pages 315-315
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.
Content:
Front Matter....Pages i-xv
Front Matter....Pages 1-1
Making the Case for an Open, Unified System Architecture in Response to Rapid Developments in the Natural Language Industry: Translingual Automatic Language Exploration the System (TALES)....Pages 3-25
The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools....Pages 27-43
Machine Translation: The Enterprise Point of View....Pages 45-57
Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European Market....Pages 59-77
Front Matter....Pages 79-79
Exploiting Lexical Sensitivity in Performing Word Sense Disambiguation....Pages 81-107
Summarizing Short Texts Through a Discourse-Centered Approach in a Multilingual Context....Pages 109-135
Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody: A Case Study in Romanian....Pages 137-161
MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges....Pages 163-183
Translation of Idiomatic Expressions Across Different Languages: A Study of the Effectiveness of TransSearch ....Pages 185-209
Front Matter....Pages 211-211
Argumentation-Based Dialogue Systems for Medical Training....Pages 213-232
Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring....Pages 233-269
TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairment in Learning English....Pages 271-283
A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses....Pages 285-297
Multilingual Systems, Translation Technology and Their Impact on the Translator’s Profession....Pages 299-314
Back Matter....Pages 315-315
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