Hybrid Approaches to Machine Translation (Hardcover, 1st ed. 2016)

This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also - in the wider fields of Computational Linguistics, Machine Learning and Data Mining - to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Theory and Applications of Natural Language Processing
Release date:	July 2016
First published:	2016
Editors:	Marta R. Costa-jussa • Reinhard Rapp • Patrik Lambert • Kurt Eberle • Rafael E. Banchs • Bogdan Babych
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	205
Edition:	1st ed. 2016
ISBN-13:	978-3-319-21310-1
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 Promotions
LSN:	3-319-21310-5
Barcode:	9783319213101

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