Linguistically Motivated Statistical Machine Translation : Models and Algorithms
Language: English
Published by Springer Nature Singapore, 2015
- Hardcover
- Used
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Add to basketItem description from seller
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.
Seller Inventory # 25153670/12
- Title
- Linguistically Motivated Statistical Machine Translation : Models and Algorithms
- Author
- Min Zhang, Deyi Xiong
- Publisher
- Springer Nature Singapore
- Publication year
- 2015
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9812873554
- ISBN 13
- 9789812873552
- Seller catalogs
- Bücher
"Synopsis" may belong to another edition of this title.
About the Author
Deyi Xiong is a professor at Soochow University. Previously he was a research scientist at the Institute for Infocomm Research of Singapore from 2007-2013. He completed his Ph.D. in Computer Science at the Institute of Computing Technology of Chinese Academy of Sciences in 2007. His research interests are in the area of natural language processing, including parsing and statistical machine translation.
Min Zhang is a professor at Soochow University. He obtained his Ph.D. degree in Computer Science at Harbin Institute of Technology in 1997. His research interests include machine translation, natural language processing and text mining.
"About the title" may belong to another edition of this title.
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