Hybrid Approaches to Machine Translation (Theory and Applications of Natural Language Processing) – 1st ed. 2016 Edition ( 2016 )
Costa-jussà, M.R., Rapp, R., Lambert, P., Eberle, K., Banchs, R.E., Babych, B. (Eds.)First book dedicated to the field of hybrid machine translationGives an overview about the developments of tools that automate translation processesContains latest relevant research conducted by linguists and practitioners from different multidisciplinary areas working in hybrid MTThis 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.Number of Illustrations and Tables27 b/w illustrations, 18 illustrations in colourTopicsLanguage Translation and LinguisticsComputational LinguisticsTranslationClick Here to Buy the Hardcover from SpringerPurchase a Premium account from Download Link for Multiple/High Speed And Support :)Click Here for More books