Machine Translation: From Real Users to Research

1. Front Matter

   PDF

2. Case Study: Implementing MT for the Translation of Pre-sales Marketing and Post-sales Software Deployment Documentation at Mycom International

   • Jeffrey Allen

   Pages 1-6

3. A Speech-to-Speech Translation System for Catalan, Spanish, and English

   • Victoria Arranz, Elisabet Comelles, David Farwell, Climent Nadeu, Jaume Padrell, Albert Febrer et al.

   Pages 7-16

4. Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT

   • Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash

   Pages 17-26

5. A Modified Burrows-Wheeler Transform for Highly Scalable Example-Based Translation

   • Ralf D. Brown

   Pages 27-36

6. Designing a Controlled Language for the Machine Translation of Medical Protocols: The Case of English to Chinese

   • Sylviane Cardey, Peter Greenfield, Xiaohong Wu

   Pages 37-47

7. Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment

   • Simon Corston-Oliver, Michael Gamon

   Pages 48-57

8. System Description: A Highly Interactive Speech-to-Speech Translation System

   • Mike Dillinger, Mark Seligman

   Pages 58-63

9. A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation

   • Debbie Elliott, Anthony Hartley, Eric Atwell

   Pages 64-73

10. Online MT Services and Real Users’ Needs: An Empirical Usability Evaluation

    • Federico Gaspari

    Pages 74-85

11. Counting, Measuring, Ordering: Translation Problems and Solutions

    • Stephen Helmreich, David Farwell

    Pages 86-93

12. Feedback from the Field: The Challenge of Users in Motion

    • L. Hernandez, J. Turner, M. Holland

    Pages 94-101

13. The Georgetown-IBM Experiment Demonstrated in January 1954

    • W. John Hutchins

    Pages 102-114

14. Pharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models

    • Philipp Koehn

    Pages 115-124

15. The PARS Family of Machine Translation Systems for Dutch System Description/Demonstration

    • Edward A. Kool, Michael S. Blekhman, Andrei Kursin, Alla Rakova

    Pages 125-129

16. Rapid MT Experience in an LCTL (Pashto)

    • Craig Kopris

    Pages 130-133

17. The Significance of Recall in Automatic Metrics for MT Evaluation

    • Alon Lavie, Kenji Sagae, Shyamsundar Jayaraman

    Pages 134-143

18. Alignment of Bilingual Named Entities in Parallel Corpora Using Statistical Model

    • Chun-Jen Lee, Jason S. Chang, Thomas C. Chuang

    Pages 144-153

19. Weather Report Translation Using a Translation Memory

    • Thomas Leplus, Philippe Langlais, Guy Lapalme

    Pages 154-163

20. Keyword Translation from English to Chinese for Multilingual QA

    • Frank Lin, Teruko Mitamura

    Pages 164-176

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

• Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA

  Robert E. Frederking

• Intelligence Technology Innovation Center, Washington, USA

  Kathryn B. Taylor

Policies and ethics