
Syntax-based Statistical Machine Translation
Morgan and Claypool Life Sciences (Publisher)
Published on 1. August 2016
Book
Paperback/Softback
208 pages
978-1-62705-900-8 (ISBN)
Description
This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models.The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.
More details
Series
Language
English
Place of publication
San Rafael, CA
United States
Publishing group
Morgan & Claypool Publishers
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 235 mm
Width: 190 mm
Weight
405 gr
ISBN-13
978-1-62705-900-8 (9781627059008)
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Schweitzer Classification
Persons
University of Edinburgh Heidelberg University, Germany Johns Hopkins University Johns Hopkins University
Content
Table of Contents: Preface / Acknowledgments / Models / Learning from Parallel Text / Decoding I: Preliminaries / Decoding II: Tree Decoding / Decoding III: String Decoding / Selected Topics / Closing Remarks / Bibliography / Authors' Biographies / Author Index / Index