Linguistically Motivated Statistical Machine Translation - Models and Algorithms (Hardcover, 2015 ed.)

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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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Product Description

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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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

March 2015

Availability

Expected to ship within 12 - 17 working days

First published

2015

Authors

,

Dimensions

235 x 155 x 11mm (L x W x T)

Format

Hardcover - Cloth over boards

Pages

152

Edition

2015 ed.

ISBN-13

978-981-287-355-2

Barcode

9789812873552

Categories

LSN

981-287-355-4



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