Hybrid Approaches to Machine Translation

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Costa-jussà, Marta R. (Editor ), Rapp, Reinhard (Editor ), Lambert, Patrik (Editor ), Eberle, Kurt (Editor ), Banchs, Rafael E. (Editor ), Babych, Bogdan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Theory and Applications of Natural Language Processing,
Temas:
Natural language processing (Computer science).
Computational linguistics.
Translating and interpreting.
Natural Language Processing (NLP).
Computational Linguistics.
Language Translation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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. .

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