Hybrid Approaches to Machine Translation
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
First book dedicated to the field of hybrid machine translation Gives an overview about the developments of tools that automate translation processes Contains latest relevant research conducted by linguists and practitioners from different multidisciplinary areas working in hybrid MT
Autor*in
Marta R. Costa-jussà
Themen in »Hybrid Approaches to Machine Translation«
Computational Linguistics HyTra Hybrid Machine Translation Morphology Natural language processing Semantics Syntax
Stimmen zu »Hybrid Approaches to Machine Translation«
“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)
()