Hybrid Approaches to Machine Translation
Reinhard Rapp editor Marta R Costa-jussà editor Patrik Lambert editor Kurt Eberle editor Rafael E Banchs editor Bogdan Babych editor
Format:Paperback
Publisher:Springer International Publishing AG
Published:31st May '18
Currently unavailable, and unfortunately no date known when it will be back
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.
“As the chapters are mostly self-contained, the book can be useful for a wide range of readers. It is primarily devoted to MT specialists in wider fields like computational linguistics and machine learning. It is also useful for ‘translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.’ It could also be useful for university teachers and students for courses that are devoted to NLP.” (M. Ivanović, Computing Reviews, January, 2017)
ISBN: 9783319793344
Dimensions: unknown
Weight: 3343g
205 pages
Softcover reprint of the original 1st ed. 2016