| Description |
1 online resource (xii, 316 pages) : illustrations |
| Series |
Neural information processing series |
|
Neural information processing series.
|
| Contents |
Series Foreword; Preface; 1 A Statistical Machine Translation Primer; I Enabling Technologies; 2 Mining Patents for Parallel Corpora; 3 Automatic Construction of Multilingual Name Dictionaries; 4 Named Entity Transliteration and Discovery in Multilingual Corpora; 5 Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes; 6 Linguistically Enriched Word-Sequence Kernels for Discriminative Language Modeling; II Machine Translation; 7 Toward Purely Discriminative Training for Tree-Structured Translation Models |
|
8 Reranking for Large-Scale Statistical Machine Translation9 Kernel-Based Machine Translation; 10 Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction; 11 Discriminative Phrase Selection for SMT; 12 Semisupervised Learning for Machine Translation; 13 Learning to Combine Machine Translation Systems; References; Contributors; Index |
| Summary |
This title looks at how machine learning can improve machine translation, enabling technologies and new statistical techniques |
| Analysis |
COMPUTER SCIENCE/Machine Learning & Neural Networks |
| Bibliography |
Includes bibliographical references (pages 277-306) and index |
| Notes |
English |
|
Print version record |
| Subject |
Machine translating -- Statistical methods
|
|
LANGUAGE ARTS & DISCIPLINES -- Translating & Interpreting.
|
| Form |
Electronic book
|
| Author |
Goutte, Cyril.
|
| ISBN |
9780262255097 |
|
026225509X |
|
128224020X |
|
9781282240209 |
|
9786612240201 |
|
6612240202 |
|
