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|a 9781461469346
|9 978-1-4614-6934-6
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|a 10.1007/978-1-4614-6934-6
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|a Where Humans Meet Machines
|h [electronic resource] :
|b Innovative Solutions for Knotty Natural-Language Problems /
|c edited by Amy Neustein, Judith A. Markowitz.
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|a 1st ed. 2013.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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|a XV, 315 p.
|b online resource.
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|a text
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|a Preface -- 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) -- The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools -- Machine Translation: the Enterprise Point of View -- Speech-Enabled Unified Communications: Overcoming the Multilingual Challenges of the European Market -- Exploiting Lexical Sensitivity in Performing Word-Sense Disambiguation -- Summarizing Short Texts through a Discourse-Centered Approach in a Multilingual Context -- Handling Two Difficult Challenges for Text-to-Speech Synthesis Systems: Out-of-Vocabulary Words and Prosody -- A Case Study in Romanian -- MAP: An Abstraction-Based Metaphor Analysis Program for Overcoming Cross-Modal Challenges -- Translation of Idiomatic Expressions across Different Languages: A Study of the Effectiveness of TransSearch -- Argumentation-Based Dialog Systems for Medical Training -- Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring.- TCAD: Vocabulary Acquisition Tool for Motivating Bilingual Pupils with Hearing Impairments in Learning English -- A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses.- Multilingual Systems, Translation Technology and Their Impact on the Translator's Profession -- Editors' biographies.
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|a 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. .
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|a Signal processing.
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|a Computational linguistics.
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|a Machinery.
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|a Electric power production.
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|a Signal, Speech and Image Processing .
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|a Computational Linguistics.
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|a Machinery and Machine Elements.
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|a Electrical Power Engineering.
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|a Neustein, Amy.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Markowitz, Judith A.
|e editor.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781461469339
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|i Printed edition:
|z 9781461469353
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|i Printed edition:
|z 9781489991829
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|u https://doi.uam.elogim.com/10.1007/978-1-4614-6934-6
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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