Syntax-based Statistical Machine Translation
Language: English
Published by Morgan & Claypool, [Kentfield CA], 2016
- First Edition
- Softcover
- New
Seller: Philip Gibbons Books, Newcastle Emlyn, United KingdomPhilip Gibbons Books
AbeBooks seller since March 14, 2000
Condition: New
£ 16.00
Quantity: 1 available
Add to basketItem description from seller
A digital text - this copy printed in the UK. Quarto-size, 212 pages (xvii, 194), diagrams, charts &c, bibliography, index; publisher's pictorial card covers: New and unread. Pictures show this actual book.
Seller Inventory # 152753
- Title
- Syntax-based Statistical Machine Translation
- Author
- Philip Williams, Rico Sennrich, Matt Post and Philipp Koehn
- Publisher
- Morgan & Claypool, [Kentfield CA]
- Publication year
- 2016
- Condition
- New
- Dust jacket
- No Jacket
- Binding
- Softcover/Paperback
- Language
- English
- ISBN 10
- 1627059008
- ISBN 13
- 9781627059008
- Edition
- First Edition.
- Printing
- First printing
- Seller catalogs
- Academic Books, Science, Engineering, Mathematics &c.
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.
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About the Author
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Philip Gibbons Books
Newcastle Emlyn, United Kingdom
AbeBooks seller since March 14, 2000
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| Item | 7 to 14 business days | 6 to 8 business days |
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Philip Gibbons Books
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