Recent Advances in Example-Based Machine Translation

Andy Way

ISBN 10: 1402014015 / ISBN 13: 9781402014017

Published by Springer Netherlands, Springer, 2003

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781402014017

Bibliographic Details

• Title: Recent Advances in Example-Based Machine Translation
• Publisher: Springer Netherlands, Springer
• Publication Date: 2003
• Language: English
• ISBN 10: 1402014015
• ISBN 13: 9781402014017
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 28D millimeters 240 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 815 grams

About this title

Synopsis

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.

Review

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