rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Where Humans Meet Machines
    sub title: Innovative Solutions for Knotty Natural-Language Problems
  name:
    name part: Neustein, Amy.
    role:
      role term: editor.
  name:
    name part: Markowitz, Judith A.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 315 p. online resource.
  abstract: 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. .
  table of contents: 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.
  note: edited by Amy Neustein, Judith A. Markowitz.
  subject:
    topic: Engineering
  subject:
    topic: Computational linguistics
  subject:
    topic: Machinery
  subject:
    topic: Power electronics
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Computational Linguistics
  subject:
    topic: Machinery and Machine Elements
  subject:
    topic: Power Electronics, Electrical Machines and Networks
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461469346
  identifier: http://dx.doi.org/10.1007/978-1-4614-6934-6
  record info:
    record creation date: 130622
    record change date: 20151028121132.0
    record identifier: 978-1-4614-6934-6