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

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	February 2015
First published:	2015
Authors:	Deyi Xiong • Min Zhang
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
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Books > Language & Literature > Language & linguistics > Translation & interpretation > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	981-287-355-4
Barcode:	9789812873552

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