Hybrid Approaches To Machine Translation (theory And Applications Of Natural Language Processing)
by Rafael E. Banchs /
2016 / English / PDF
5.9 MB Download
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.
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.
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.
