Hybrid Approaches to Machine Translation / edited by Marta R. Costa-jussà, Reinhard Rapp, Patrik Lambert, Kurt Eberle, Rafael E. Banchs, Bogdan Babych.

Format:

Book

Contributor:

Costa-jussà, Marta R., editor.

Rapp, Reinhard, editor.

Lambert, Patrik, editor.

Eberle, Kurt, editor.

Banchs, Rafael E., editor.

Babych, Bogdan, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Theory and applications of natural language processing 2192-032X

Theory and Applications of Natural Language Processing, 2192-032X

Language:

English

Subjects (All):

Natural language processing (Computer science).

Computational linguistics.

Translating and interpreting.

Natural Language Processing (NLP).

Computational Linguistics.

Translation.

Local Subjects:

Natural Language Processing (NLP).

Computational Linguistics.

Translation.

Physical Description:

1 online resource (IX, 205 pages) : 45 illustrations, 18 illustrations in color.

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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.

Contents:

Preface

Foreword

Chapter 1. Hybrid Machine Translation Overview

Part 1: Adding Linguistics into SMT

Chapter 2. Controllent Ascent: Imbuing Statistical MT with Linguistic knowledge

Chapter 3. Hybrid Word Alignment

Chapter 4. Syntax in SMT

Part 2. Using Machine Learning in MT

Chapter 5. Machine Learning in RBMT

Chapter 6. Language-Independent Hybrid MT

Part 3. Hybrid NLP tools useful for MT

Chapter 7. Use of Dependency Parsers in MT

Chapter 8. Word Sense Disambiguation in MT. .

Other Format:

Printed edition:

ISBN:

978-3-319-21311-8

9783319213118

Access Restriction:

Restricted for use by site license.