Recent Advances in Example-Based Machine Translation

By: M. Carl (Editor), Andy Way (Editor)

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Hardcover | 30 June 2003

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520 Pages

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24.13 x 16.51 x 3.18

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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.

Industry 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

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Natural Language & Machine Translation Language & Linguistics Linguistics Translation & Interpretation Language Learning & Teaching Specific Skills of Learning Language Speaking & Pronounciation Skills Science

Science in General Audio Processing

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Paperback

Published: 30th June 2003

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Preface	p. vii
Contributing Authors	p. xi
Foreword	p. xv
Introduction	p. xvii
Foundations of EBMT
An Overview of EBMT	p. 3
What is Example-Based Machine Translation?	p. 59
Example-Based Machine Translation in a Controlled Environment	p. 83
EBMT Seen as Case-based Reasoning	p. 115
Run-time Approaches to EBMT
Formalizing Translation Memory	p. 157
EBMT Using DP-Matching Between Word Sequences	p. 189
A Hybrid Rule and Example-Based Method for Machine Translation	p. 211
EBMT of POS-Tagged Sentences via Inductive Learning	p. 225
Template-Driven EBMT
Learning Translation Templates from Bilingual Translation Examples	p. 255
Clustered Transfer Rule Induction for Example-Based Translation	p. 287
Translation Patterns, Linguistic Knowledge and Complexity in EBMT	p. 307
Inducing Translation Grammars from Bracketed Alignments	p. 339
EBMT and Derivation Trees
Extracting Translation Knowledge from Parallel Corpora	p. 365
Finding Translation Patterns from Dependency Structures	p. 397
A Best-First Alignment Algorithm for Extraction of Transfer Mappings	p. 421
Translating with Examples: The LFG-DOT Models of Translation	p. 443
Index	p. 473
Table of Contents provided by Ingram. All Rights Reserved.

Recent Advances in Example-Based Machine Translation

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Hardcover

Industry Reviews

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Defective items

You Can Find This Book In

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