Recent Advances in Example-Based Machine Translation
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 ret
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Text, Speech and Language Technology VOLUME21
Series Editors Nancy Ide, Vassar College, New York Jean Veronis, Universite de Provence and CNRS, France Editorial Board Harald Baayen, Max Planck Institute for Psycholinguistics, The Netherlands Kenneth W. Church, AT & T Bell Labs, New Jersey, USA Judith Klavans, Columbia University, New York, USA David T. Barnard, University of Regina, Canada Dan Tufis, Romanian Academy of Sciences, Romania Joaquim Llisterri, Universitat Autonoma de Barcelona, Spain Stig Johansson, University of Oslo, Norway Joseph Mariani, LIMSI-CNRS, France
The titles published in this series are listed at the end oi this volurne.
Recenti\dvancesin Example-Based Machine Translation Edited by
Michae1 CarI Institut der Gesellschaft zur Forderung der Angewandten Informationsforschung e. V. an der Universitat des Saarlandes, Saarbriicken, Germany
and
AndyWay School of Computer Applications, Dublin City University, Dublin, Ireland
" ~.
SPRINGER SCIENCE+BUSINESS MEDIA, B.V.
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-1-4020-1401-7 ISBN 978-94-010-0181-6 (eBook) DOI 10.1007/978-94-010-0181-6
Printed on acid-free paper
AII Rights Reserved © 2003 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 2003 Softcover reprint ofthe hardcover lst edition 2003 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.
Contents
Preface
vii
Contributing Authors Foreword
xi xv
Introduction Michael Garl and Andy Way
xvii
Part I Foundations of EBMT 1 An Overview of EBMT Harold Somers
3
2
What is Example-Based Machine Translation? Davide Turcato and Fred Popowich 3 Example-Based Machine Translation in a Controlled Environment Reinhard Schäler, Andy Way and Michael Garl
4 EBMT Seen as Case-based Reasoning Brona Gollins and Harold Somers
59
83
115
Part II Run-time Approaches to EBMT 5 Formalizing Translation Memory Emmanuel Planas and Osamu Furuse
157
6 EBMT Using DP-Matching Between Word Sequences Eiichiro Sumita
189
VI
REGENT ADVANGES IN EBMT
7 A Hybrid Rule and Example-Based Method for Machine Translation Francis Bond and Satoshi Shirai
211
8 EBMT of POS-Tagged Sentences via Inductive Learning Tantely Andriamanankasina, Kenji Araki and Koji Tochinai
225
Part III Template-Driven EBMT 9
Learning Translation Templates from Bilingual Translation Examples flyas Gicekli and H. Altay Güvenir
255
10 Clustered Transfer Rule Induction for Example-Based Translation Ralf D. Brown
287
11 Translation Patterns, Linguistic Knowledge and Complexity in EBMT K evin M c Tait
307
12 Inducing Translation Grammars from Bracketed Alignments Michael Garl
339
P
