Machine Translation: From Real Users to Research

6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, Washington, DC, USA, September 28 - October 2, 2004. Proceedings

  • Robert E. Frederking
  • Kathryn B. Taylor
Conference proceedings AMTA 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3265)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3265)

Table of contents

  1. Front Matter
  2. Victoria Arranz, Elisabet Comelles, David Farwell, Climent Nadeu, Jaume Padrell, Albert Febrer et al.
    Pages 7-16
  3. Debbie Elliott, Anthony Hartley, Eric Atwell
    Pages 64-73
  4. Stephen Helmreich, David Farwell
    Pages 86-93
  5. L. Hernandez, J. Turner, M. Holland
    Pages 94-101
  6. Edward A. Kool, Michael S. Blekhman, Andrei Kursin, Alla Rakova
    Pages 125-129
  7. Craig Kopris
    Pages 130-133
  8. Alon Lavie, Kenji Sagae, Shyamsundar Jayaraman
    Pages 134-143
  9. Chun-Jen Lee, Jason S. Chang, Thomas C. Chuang
    Pages 144-153
  10. Thomas Leplus, Philippe Langlais, Guy Lapalme
    Pages 154-163
  11. Frank Lin, Teruko Mitamura
    Pages 164-176
  12. Tracy Lin, Jian-Cheng Wu, Jason S. Chang
    Pages 177-186
  13. Ariadna Font Llitjós, Katharina Probst, Jaime Carbonell
    Pages 187-196
  14. Muhtar Mahsut, Yasuhiro Ogawa, Kazue Sugino, Katsuhiko Toyama, Yasuyoshi Inagaki
    Pages 208-216
  15. Florence Reeder
    Pages 227-235
  16. Florence Reeder, Bonnie Dorr, David Farwell, Nizar Habash, Stephen Helmreich, Eduard Hovy et al.
    Pages 236-245
  17. Nestor Rychtyckyj
    Pages 252-261
  18. Back Matter

About these proceedings


The previous conference in this series (AMTA 2002) took up the theme “From Research to Real Users”, and sought to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the mix in their products. Machine translation as a software application has a 50-year history. There are an increasing number of exciting deployments of MT, many of which will be exhibited and discussed at the conference. But the scale of commercial use has never approached the estimates of the latent demand. In light of this, we reversed the question from AMTA 2002, to look at the next step in the path to commercial success for MT. We took user needs as our theme, and explored how or whether market requirements are feeding into research programs. The transition of research discoveries to practical use involves te- nicalquestionsthatarenotassexyasthosethathavedriventheresearchcommunityand research funding. Important product issues such as system customizability, computing resource requirements, and usability and ?tness for particular tasks need to engage the creativeenergiesofallpartsofourcommunity,especiallyresearch,aswemovemachine translation from a niche application to a more pervasive language conversion process. Thesetopicswereaddressedattheconferencethroughthepaperscontainedinthesep- ceedings, and even more speci?cally through several invited presentations and panels.


automated translation computational linguistics cross-language retrieval data driven machine translation german machine translation morphology natural language processing proving rule-based machine t spanish statistical language processing translation translation services translation systems

Editors and affiliations

  • Robert E. Frederking
    • 1
  • Kathryn B. Taylor
    • 2
  1. 1.Language Technologies InstituteCarnegie Mellon UniversityPittsburghUSA
  2. 2.Intelligence Technology Innovation CenterWashingtonUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23300-8
  • Online ISBN 978-3-540-30194-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site