Hybrid Approaches to Machine Translation (1st ed. 2016) (Theory and Applications of Natural Language Processing)

Synopsis

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.

Copyright:

2016

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783319213118

Related ISBNs:

9783319213101

Publisher:

Springer International Publishing

Date of Addition:

09/10/19

Copyrighted By:

Springer International Publishing, Cham

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Language Arts, Communication

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Marta R. Costa-jussà

Edited by:

Reinhard Rapp

Edited by:

Patrik Lambert

Edited by:

Kurt Eberle

Edited by:

Rafael E. Banchs

Edited by:

Bogdan Babych