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Linguistically motivated statistical...

Xiong, Deyi.

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Linguistically motivated statistical machine translation = models and algorithms /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Linguistically motivated statistical machine translation/ by Deyi Xiong, Min Zhang.
Reminder of title:	models and algorithms /
Author:	Xiong, Deyi.
other author:	Zhang, Min.
Published:	Singapore :Springer Singapore : : 2015.,
Description:	xii, 152 p. :ill., digital ;24 cm.
[NT 15003449]:	1 Introduction -- 2 BTG-Based SMT -- 3 Syntactically Annotated Reordering -- 4 Semantically Informed Reordering -- 5 Lexicalized Bracketing -- 6 Linguistically Motivated Bracketing -- 7 Translation Rule Selection with Document-Level Semantic Information -- 8 Translation Error Detection with Linguistic Features -- 9 Closing Remarks -- Index -- References.
Contained By:	Springer eBooks
Subject:	Computational linguistics. -
Online resource:	http://dx.doi.org/10.1007/978-981-287-356-9
ISBN:	9789812873569 (electronic bk.)

Linguistically motivated statistical machine translation = models and algorithms /
Xiong, Deyi.

Linguistically motivated statistical machine translationmodels and algorithms /[electronic resource] :by Deyi Xiong, Min Zhang. - Singapore :Springer Singapore :2015. - xii, 152 p. :ill., digital ;24 cm.

1 Introduction -- 2 BTG-Based SMT -- 3 Syntactically Annotated Reordering -- 4 Semantically Informed Reordering -- 5 Lexicalized Bracketing -- 6 Linguistically Motivated Bracketing -- 7 Translation Rule Selection with Document-Level Semantic Information -- 8 Translation Error Detection with Linguistic Features -- 9 Closing Remarks -- Index -- References.

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. 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.

ISBN: 9789812873569 (electronic bk.)

Standard No.: 10.1007/978-981-287-356-9doiSubjects--Topical Terms:

606540
Computational linguistics.

LC Class. No.: P98

Dewey Class. No.: 006.35

Linguistically motivated statistical machine translation = models and algorithms /
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505 0 $a 1 Introduction -- 2 BTG-Based SMT -- 3 Syntactically Annotated Reordering -- 4 Semantically Informed Reordering -- 5 Lexicalized Bracketing -- 6 Linguistically Motivated Bracketing -- 7 Translation Rule Selection with Document-Level Semantic Information -- 8 Translation Error Detection with Linguistic Features -- 9 Closing Remarks -- Index -- References.
520 $a 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. 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.
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