Hybrid Approaches to Machine Translation

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Costa-jussà, Marta R. (Επιμελητής έκδοσης), Rapp, Reinhard (Επιμελητής έκδοσης), Lambert, Patrik (Επιμελητής έκδοσης), Eberle, Kurt (Επιμελητής έκδοσης), Banchs, Rafael E. (Επιμελητής έκδοσης), Babych, Bogdan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Theory and Applications of Natural Language Processing,
• Θέματα: Computer science.; Computational linguistics.; Translation and interpretation.; Computer Science.; Language Translation and Linguistics.; Computational Linguistics.; 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...

Πίνακας περιεχομένων:

• 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. .