Statistical machine translation
"The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher in the field, provides a gentle and accessible...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press
2010.
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| Colección: | EBSCO Academic eBook Collection Complete.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b38410151*spi |
Tabla de Contenidos:
- Cover
- Half-title
- Title
- Copyright
- Dedication
- Contents
- Preface
- Part I Foundations
- Chapter 1 Introduction
- 1.1 Overview
- 1.2 History of Machine Translation
- 1.3 Applications
- 1.4 Available Resources
- 1.5 Summary
- Chapter 2 Words, Sentences, Corpora
- 2.1 Words
- 2.2 Sentences
- 2.3 Corpora
- 2.4 Summary
- Chapter 3 Probability Theory
- 3.1 Estimating Probability Distributions
- 3.2 Calculating Probability Distributions
- 3.3 Properties of Probability Distributions
- 3.4 Summary
- Part II Core Methods
- Chapter 4 Word-Based Models
- 4.1 Machine Translation by Translating Words
- 4.2 Learning Lexical Translation Models
- 4.3 Ensuring Fluent Output
- 4.4 Higher IBM Models
- 4.5 Word Alignment
- 4.6 Summary
- Chapter 5 Phrase-Based Models
- 5.1 Standard Model
- 5.2 Learning a Phrase Translation Table
- 5.3 Extensions to the Translation Model
- 5.4 Extensions to the Reordering Model
- 5.5 EM Training of Phrase-Based Models
- 5.6 Summary
- Chapter 6 Decoding
- 6.1 Translation Process
- 6.2 Beam Search
- 6.3 Future Cost Estimation
- 6.4 Other Decoding Algorithms
- 6.5 Summary
- Chapter 7 Language Models
- 7.1 N-Gram Language Models
- 7.2 Count Smoothing
- 7.3 Interpolation and Back-off
- 7.4 Managing the Size of the Model
- 7.5 Summary
- Chapter 8 Evaluation
- 8.1 Manual Evaluation
- 8.2 Automatic Evaluation
- 8.3 Hypothesis Testing
- 8.4 Task-Oriented Evaluation
- 8.5 Summary
- Part III Advanced Topics
- Chapter 9 Discriminative Training
- 9.1 Finding Candidate Translations
- 9.2 Principles of Discriminative Methods
- 9.3 Parameter Tuning
- 9.4 Large-Scale Discriminative Training
- 9.5 Posterior Methods and System Combination
- 9.6 Summary
- Chapter 10 Integrating Linguistic Information
- 10.1 Transliteration
- 10.2 Morphology
- 10.3 Syntactic Restructuring
- 10.4 Syntactic Features
- 10.5 Factored Translation Models
- 10.6 Summary
- Chapter 11 Tree-Based Models
- 11.1 Synchronous Grammars
- 11.2 Learning Synchronous Grammars
- 11.3 Decoding by Parsing
- 11.4 Summary
- Bibliography
- Author Index
- Index.
