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Hybrid Approaches to Machine Translation (Theory and Applications of Natural Language Processing),Used
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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 datadriven and rulebased 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 datadriven components into rulebased approaches, or statistical and rulebased pre and postprocessing 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.
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