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LEARNING MACHINE TRANSLATION (pb)2009
Author: CYRIL GOUTTE
ISBN: 9788120340558
Year: 2010
Publisher: PRENTICE-HALL OF INDIA PRIVATE LIMITED
Category: MATHEMATICS
Edition: 1
Format: Paperback
Language: English
Pages: 316
 ABOUT THE TITLE
The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently at the forefront of research in the field.

The book looks first at enabling technologiesótechnologies that solve problems that are not machine translation proper but are linked closely to the development of a machine translation system. The book then presents new or improved statistical machine translation techniques.

Author: CYRIL GOUTTE is a researcher in the Interactive Language Technologies Group at the Canadian National Research Councilís Institute for Information Technology.

Author: GEORGE FOSTER is a researcher in the Interactive Language Technologies Group at the Canadian National Research Councilís Institute for Information Technology.

Author: MARC DYMETMAN is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe.

Author: NICOLA CANCEDDA is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe.
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 TABLE OF CONTENTS
Series Foreword
Preface
1. A Statistical Machine Translation Primer
I Enabling Technologies
2. Mining Patents for Parallel Corpora
3. Automatic Construction of Multilingual Name Dictionaries
4. Named Entity Transliteration and Discovery in Multilingual Corpora
5. Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes
6. Linguistically Enriched Word-Sequence Kernels for Discriminative Language Modeling
II Machine Translation
7. Toward Purely Discriminative Training for Tree-Structured Translation Models
8. Reranking for Large-Scale Statistical Machine Translation
9. Kernel-Based Machine Translation
10. Statistical Machine Translation through Global Lexical Selection
11. Discriminative Phrase Selection for SMT
12. Semisupervised Learning for Machine Translation
13. Learning to Combine Machine Translation Systems
References
Contributors
Index
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