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Recent Advances in Example-Based Machine Translation pp 3–57Cite as

An Overview of EBMT

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Part of the book series: Text, Speech and Language Technology ((TLTB,volume 21))

Abstract

In the last ten to fifteen years there has been a significant amount of research in Machine Translation within a ‘new’ paradigm of empirical approaches, often labelled collectively as ‘Example-based’ approaches. The first manifestation of this approach caused some surprise and hostility among observers more used to different ways of working, but the techniques were quickly adopted and adapted by many researchers, often creating hybrid systems. This paper reviews the various research efforts within this paradigm reported to date, and attempts a categorisation of different manifestations of the general approach. This paper first appeared in 1999 in Machine Translation 14:113-157. It has been updated with a small number of revisions, and references to more recent work.

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Authors
  1. Harold Somers
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Editors and Affiliations

  1. School of Computer Applications, Dublin City University, Dublin, Ireland

    Andy Way

  2. Institut der Gesellschaft zur Forderung der Angewandten Informationsforschung e. V. an der Universität des Saarlandes, Saarbrücken, Germany

    Michael Carl

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© 2003 Springer Science+Business Media Dordrecht

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Somers, H. (2003). An Overview of EBMT. In: Carl, M., Way, A. (eds) Recent Advances in Example-Based Machine Translation. Text, Speech and Language Technology, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0181-6_1

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  • DOI: https://doi.org/10.1007/978-94-010-0181-6_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1401-7

  • Online ISBN: 978-94-010-0181-6

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