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Machine Translation and the Information Soup

Third Conference of the Association for Machine Translation in the Americas, AMTA’98, Langhorne, PA, USA, October 28–31, 1998 Proceedings

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. David Farwell

    1. Computing Research Lab, New Mexico State University, Las Cruces, USA

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  2. Laurie Gerber

    1. SYSTRAN Inc., La Jolla, USA

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  3. Eduard Hovy

    1. Information Sciences Institute, University of Southern California, Marina del Rey, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1529)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AMTA 1998.

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Table of contents (52 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Technical Papers

    1. A Statistical View on Bilingual Lexicon Extraction: From Parallel Corpora to Non-Parallel Corpora

      • Pascale Fung
      Pages 1-17

    2. Empirical Methods for MT Lexicon Development

      • I. Dan Melamed
      Pages 18-30

    3. A Modular Approach to Spoken Language Translation for Large Domains

      • Monika Woszczyna, Matthew Broadhead, Donna Gates, Marsal Gavaldà, Alon Lavie, Lori Levin et al.
      Pages 31-40

    4. Enhancing Automatic Acquisition of Thematic Structure in a Large-Scale Lexicon for Mandarin Chinese

      • Mari Broman Olsen, Bonnie J. Dorr, Scott C. Thomas
      Pages 41-50

    5. Ordering Translation Templates by Assigning Conifdence Factors

      • Zeynep Öz, Ilyas Cicekli
      Pages 51-61

    6. Quality and Robustness in MT - A Balancing Act

      • Bianka Buschbeck-Wolf, Michael Dorna
      Pages 62-71

    7. Parallel Strands: A Preliminary Investigation into Mining the Web for Bilingual Text

      • Philip Resnik
      Pages 72-82

    8. An English-to-Turkish Interlingual MT System

      • Dilek Zeynep Hakkani, Gökhan Tür, Kemal Oflazer, Teruko Mitamura, Eric H. Nyberg
      Pages 83-94

    9. Rapid Prototyping of Domain-Specific Machine Translation Systems

      • Martha Palmer, Owen Rambow, Alexis Nasr
      Pages 95-102

    10. Time-Constrained Machine Translation

      • Janine Toole, Davide Turcato, Fred Popowich, Dan Fass, Paul McFetridge
      Pages 103-112

    11. An Evaluation of the Multi-engine MT Architecture

      • Christopher Hogan, Robert E. Frederking
      Pages 113-123

    12. An Ontology-Based Approach to Parsing Turkish Sentences

      • Murat Temizsoy, Ilyas Cicekli
      Pages 124-135

    13. Monolingual Translator Workstation

      • Guy Bashkansky, Uzzi Ornan
      Pages 136-149

    14. Fast Document Translation for Cross-Language Information Retrieval

      • J. Scott McCarley, Salim Roukos
      Pages 150-157

    15. Machine Translation in Context

      • Kurt Godden
      Pages 158-163

    16. EasyEnglish: Addressing Structural Ambiguity

      • Arendse Bernth
      Pages 164-173

    17. Multiple-Subject Constructions in the Multilingual MT-System CAT2

      • Munpyo Hong
      Pages 174-186

    18. A Multilingual Procedure for Dictionary-Based Sentence Alignment

      • Adam Meyers, Michiko Kosaka, Ralph Grishman
      Pages 187-198

    19. Taxonomy and Lexical Semantics - from the Perspective of Machine Readable Dictionary

      • Jason S. Chang, Sue J. Ker, Mathis H. Chen
      Pages 199-212
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  1. Machine Translation and the Information Soup

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About this book

Machine Translation and the Information Soup! Over the past fty years, machine translation has grown from a tantalizing dream to a respectable and stable scienti c-linguistic enterprise, with users, c- mercial systems, university research, and government participation. But until very recently, MT has been performed as a relatively distinct operation, so- what isolated from other text processing. Today, this situation is changing rapidly. The explosive growth of the Web has brought multilingual text into the reach of nearly everyone with a computer. We live in a soup of information, an increasingly multilingual bouillabaisse. And to partake of this soup, we can use MT systems together with more and more tools and language processing technologies|information retrieval engines, - tomated text summarizers, and multimodal and multilingual displays. Though some of them may still be rather experimental, and though they may not quite t together well yet, it is clear that the future will o er text manipulation systems that contain all these functions, seamlessly interconnected in various ways.

Editors and Affiliations

  • Computing Research Lab, New Mexico State University, Las Cruces, USA

    David Farwell

  • SYSTRAN Inc., La Jolla, USA

    Laurie Gerber

  • Information Sciences Institute, University of Southern California, Marina del Rey, USA

    Eduard Hovy

Bibliographic Information

  • Book Title: Machine Translation and the Information Soup

  • Book Subtitle: Third Conference of the Association for Machine Translation in the Americas, AMTA’98, Langhorne, PA, USA, October 28–31, 1998 Proceedings

  • Editors: David Farwell, Laurie Gerber, Eduard Hovy

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-49478-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1998

  • Softcover ISBN: 978-3-540-65259-5Published: 16 October 1998

  • eBook ISBN: 978-3-540-49478-2Published: 29 June 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIX, 532

  • Number of Illustrations: 27 b/w illustrations, 11 illustrations in colour

  • Topics: Artificial Intelligence, Information Storage and Retrieval, Mathematical Logic and Formal Languages, Multimedia Information Systems

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