Hybrid Approaches to Machine Translation
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 achi
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		    Marta R. Costa-jussà · Reinhard Rapp Patrik Lambert · Kurt Eberle Rafael E. Banchs · Bogdan Babych Editors
 
 Hybrid Approaches to Machine Translation
 
 Theory and Applications of Natural Language Processing
 
 Series editors: Julia Hirschberg Eduard Hovy Mark Johnson
 
 Aims and Scope The field of Natural Language Processing (NLP) has expanded explosively over the past decade: growing bodies of available data, novel fields of applications, emerging areas and new connections to neighboring fields have all led to increasing output and to diversification of research. “Theory and Applications of Natural Language Processing” is a series of volumes dedicated to selected topics in NLP and Language Technology. It focuses on the most recent advances in all areas of the computational modeling and processing of speech and text across languages and domains. Due to the rapid pace of development, the diversity of approaches and application scenarios are scattered in an ever-growing mass of conference proceedings, making entry into the field difficult for both students and potential users. Volumes in the series facilitate this first step and can be used as a teaching aid, advanced-level information resource or a point of reference. The series encourages the submission of research monographs, contributed volumes and surveys, lecture notes and textbooks covering research frontiers on all relevant topics, offering a platform for the rapid publication of cutting-edge research as well as for comprehensive monographs that cover the full range of research on specific problem areas. The topics include applications of NLP techniques to gain insights into the use and functioning of language, as well as the use of language technology in applications that enable communication, knowledge management and discovery such as natural language generation, information retrieval, question-answering, machine translation, localization and related fields. The books are available in printed and electronic (e-book) form: * Downloadable on your PC, e-reader or iPad * Enhanced by Electronic Supplementary Material, such as algorithms, demonstrations, software, images and videos * Available online within an extensive network of academic and corporate R&D libraries worldwide * Never out of print thanks to innovative print-on-demand services * Competitively priced print editions for eBook customers thanks to MyCopy service http://www.springer.com/librarians/e-content/mycopy
 
 More information about this series at http://www.springer.com/series/8899
 
 Marta R. Costa-jussJa • Reinhard Rapp • Patrik Lambert • Kurt Eberle • Rafael E. Banchs • Bogdan Babych Editors
 
 Hybrid Approaches to Machine Translation
 
 123
 
 Editors Marta R. Costa-jussJa Universitat PolitJecnica de Catalunya Barcelona, Spain
 
 Reinhard Rapp University of Aix-Marseille and University of Mainz Marseille, France
 
 Patrik Lambert Pompeu Fabra University Barcelona Barcelona, Spain
 
 Kurt Eberle Lingenio GmbH Heidelberg Germany
 
 Rafael E. Banchs Institute for Infocomm Research Singapore, Singapore
 
 Bogdan Bab		
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