Statistical machine translation : textbook
โ Scribed by Philipp Koehn
- Publisher
- Univ. Pr
- Year
- 2010
- Tongue
- English
- Leaves
- 447
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Preface; Part I. Foundations: 1. Introduction; 2. Words, sentences, corpora; 3. Probability theory; Part II. Core Methods: 4. Word-based models; 5. Phrase-based models; 6. Decoding; 7. Language models; 8. Evaluation; Part III. Advanced Topics: 9. Discriminative training; 10. Integrating linguistic information; 11. Tree-based models; Bibliography; Author index; Index
๐ SIMILAR VOLUMES
<p><span>This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:</span></p><p><span>1. </span><span>The basics of probability and statistics: </span><span>These chapters focus on the basics of probability and statistics
<p><span>This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:</span></p><p><span>1. </span><span>The basics of probability and statistics: </span><span>These chapters focus on the basics of probability and statistics