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Can I read Hybrid Approaches to Machine Translation || on EtoBox?

Hybrid Approaches to Machine Translation || by Costa-jussà, Marta R.; Rapp, Reinhard; Lambert, Patrik; Eberle, Kurt; Banchs, Rafael E.; Babych, Bogdan is a nonfiction available to read on EtoBox.

What is Hybrid Approaches to Machine Translation || about?

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

Who reads Hybrid Approaches to Machine Translation ||?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Costa-jussà, Marta R.; Rapp, Reinhard; Lambert, Patrik; Eberle, Kurt; Banchs, Rafael E.; Babych, Bogdan
Publisher
Springer International Publishing : Imprint: Springer
Published
2016
Language
EN
ISBN
9783319213101
Category
nonfiction
Subjects
Linguistics, Computer Science, Science

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