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Table of contents (16 chapters)
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EBMT Using Derivation Trees
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Back Matter
Keywords
About this book
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.
Reviews
Michael Carl and Andy Way have done the field of MT and that of natural language processing in general a big favor by producing this collection. This is the first (fat) book-sized collection of current research in this fascinating area of MT, and it contains a number of chapters that will bring anyone interested quickly up to speed in this research area. ...
I would recommend this book to everyone active or interested in MT, and especially the papers of the foundational part I to computational linguistics researchers in general.
Reviewed by:
Walter Daelemans, University of Antwerp
in: Computational Linguistics, Volume 30, Number 4
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Example-Based Machine Translation
Editors: Michael Carl, Andy Way
Series Title: Text, Speech and Language Technology
DOI: https://doi.org/10.1007/978-94-010-0181-6
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 2003
Hardcover ISBN: 978-1-4020-1400-0Published: 30 June 2003
Softcover ISBN: 978-1-4020-1401-7Published: 30 June 2003
eBook ISBN: 978-94-010-0181-6Published: 06 December 2012
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: XXXI, 482
Topics: Natural Language Processing (NLP), Translation, Computational Linguistics, Artificial Intelligence