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Conference of the Association for Machine Translation in the Americas

AMTA 2002: Machine Translation: From Research to Real Users pp 104–113Cite as

Merging Example-Based and Statistical Machine Translation: An Experiment

Part of the Lecture Notes in Computer Science book series (LNAI,volume 2499)

Abstract

Despite the exciting work accomplished over the past decade in the field of Statistical Machine Translation (SMT), we are still far from the point of being able to say that machine translation fully meets the needs of real-life users. In a previous study [6], we have shown how a SMT engine could benefit from terminological resources, especially when translating texts very different from those used to train the system. In the present paper, we discuss the opening of SMT to examples automatically extracted from a Translation Memory (TM). We report results on a fair-sized translation task using the database of a commercial bilingual concordancer.

Keywords

  • Machine Translation
  • Statistical Machine Translation
  • Word Error Rate
  • Airline Industry
  • Translation Memory

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/3-540-45820-4_11
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Author information

Authors and Affiliations

  1. Laboratoire de Recherche Appliquée en Linguistique Informatique (RALI) Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, C.P. 6128, succursale Centre-ville, H3C 3J7, Montréal, Québec, Canada

    Philippe Langlais & Michel Simard

Authors
  1. Philippe Langlais
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  2. Michel Simard
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Editor information

Editors and Affiliations

  1. Microsoft Research, 1 Microsoft Way, Redmond, WA, 98052, USA

    Stephen D. Richardson

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© 2002 Springer-Verlag Berlin Heidelberg

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Langlais, P., Simard, M. (2002). Merging Example-Based and Statistical Machine Translation: An Experiment. In: Richardson, S.D. (eds) Machine Translation: From Research to Real Users. AMTA 2002. Lecture Notes in Computer Science(), vol 2499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45820-4_11

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  • DOI: https://doi.org/10.1007/3-540-45820-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44282-0

  • Online ISBN: 978-3-540-45820-3

  • eBook Packages: Springer Book Archive