Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Foundations of Example-Based Machine Translation

    1. Front Matter
      Pages 1-1
    2. Harold Somers
      Pages 3-57
    3. Davide Turcato, Fred Popowich
      Pages 59-81
    4. Reinhard Schäler, Andy Way, Michael Carl
      Pages 83-114
    5. Bróna Collins, Harold Somers
      Pages 115-153
  3. Run-Time Example-Based Machine Translation

    1. Front Matter
      Pages 155-155
    2. Emmanuel Planas, Osamu Furuse
      Pages 157-188
    3. Francis Bond, Satoshi Shirai
      Pages 211-224
    4. Tantely Andriamanankasina, Kenji Araki, Koji Tochinai
      Pages 225-252
  4. Template-Driven Example-Based Machine Translation

  5. EBMT Using Derivation Trees

    1. Front Matter
      Pages 363-363
    2. Kaoru Yamamoto, Yuji Matsumoto
      Pages 365-395
    3. Hideo Watanabe, Sadao Kurohashi, Eiji Aramaki
      Pages 397-420

About this book

Introduction

Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.

Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.

Keywords

EBMT algorithms case-based reasoning complexity learning machine translation translation

Editors and affiliations

  • Michael Carl
    • 2
  • Andy Way
    • 1
  1. 1.School of Computer ApplicationsDublin City UniversityDublinIreland
  2. 2.Institut der Gesellschaft zur Forderung der Angewandten Informationsforschung e. V. an der Universität des SaarlandesSaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-0181-6
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-1401-7
  • Online ISBN 978-94-010-0181-6
  • Series Print ISSN 1386-291X
  • About this book