Hybrid Approaches To Machine Translation

May 31, 2018|
Hybrid Approaches To Machine Translation by Marta R. Costa-juss
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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.

Marta R. Costa-jussà  is a MarieCurie fellow at the Universitat Politècnica de Catalunya (UPC, Barcelona). Her research expertise is in machine translation and automatic speech recognition, including both experience in hybrid methodologies and scarce resources. She received her PhD from the UPC in 2008.She has wo...
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Title:Hybrid Approaches To Machine Translation
Format:Paperback
Product dimensions:205 pages, 9.25 X 6.1 X 0 in
Shipping dimensions:205 pages, 9.25 X 6.1 X 0 in
Published:May 31, 2018
Publisher:Springer Nature
Language:English
Appropriate for ages:All ages
ISBN - 13:9783319793344

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