Authors:
- Provides solutions for open problems concerning the integration of linguistic knowledge into SMT
- Helps readers to better understand the effects and impacts of linguistic knowledge on machine translation
- Promotes the often-ignored bracketing model (or phrase segmentation model) to the SMT community
- Elaborates on the entire framework of BTG-based SMT formalism
- Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
About this book
Reviews
“Linguistically Motivated Statistical Machine Translation, written by Deyi Xiong and Min Zhang is an overview of (mostly) already published work by the same researchers, rewritten into a coherent book that explains how several different research aspects fit into one research paradigm. … the book is inspiring and worth reading, if you wish to try out and improve your SMT system.” (Vincent Vandeghinste, Machine Translation, Vol. 29, 2015)
Authors and Affiliations
-
Soochow University, Suzhou, China
Deyi Xiong, Min Zhang
About the authors
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.
Bibliographic Information
Book Title: Linguistically Motivated Statistical Machine Translation
Book Subtitle: Models and Algorithms
Authors: Deyi Xiong, Min Zhang
DOI: https://doi.org/10.1007/978-981-287-356-9
Publisher: Springer Singapore
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media Singapore 2015
Hardcover ISBN: 978-981-287-355-2Published: 16 March 2015
Softcover ISBN: 978-981-10-1365-2Published: 09 October 2016
eBook ISBN: 978-981-287-356-9Published: 11 February 2015
Edition Number: 1
Number of Pages: XII, 152
Number of Illustrations: 52 b/w illustrations
Topics: Computational Linguistics