Linguistically Motivated Statistical Machine Translation

Models and Algorithms

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Reference & Language, Language Arts, Linguistics
Cover of the book Linguistically Motivated Statistical Machine Translation by Deyi Xiong, Min Zhang, Springer Singapore
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Author: Deyi Xiong, Min Zhang ISBN: 9789812873569
Publisher: Springer Singapore Publication: February 11, 2015
Imprint: Springer Language: English
Author: Deyi Xiong, Min Zhang
ISBN: 9789812873569
Publisher: Springer Singapore
Publication: February 11, 2015
Imprint: Springer
Language: English

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.

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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.

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