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ISBN
:
9788120340558
Publisher
:
Phi Learning
Subject
:
Computer Science
Binding
:
Paperback
Pages
:
328
Year
:
2010
₹
325.0
₹
250.0
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View DetailsDescription
The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently at the forefront of research in the field. The book looks first at enabling technologies—technologies that solve problems that are not machine translation proper but are linked closely to the development of a machine translation system. The book then presents new or improved statistical machine translation techniques. Table of Contents ContentsSeries ForewordPreface1. A Statistical Machine Translation PrimerI Enabling Technologies2. Mining Patents for Parallel Corpora3. Automatic Construction of Multilingual Name Dictionaries4. Named Entity Transliteration and Discovery in Multilingual Corpora5. Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes6. Linguistically Enriched Word-Sequence Kernels for Discriminative Language ModelingII Machine Translation7. Toward Purely Discriminative Training for Tree-Structured Translation Models8. Reranking for Large-Scale Statistical Machine Translation9. Kernel-Based Machine Translation10. Statistical Machine Translation through Global Lexical Selection11. Discriminative Phrase Selection for SMT12. Semisupervised Learning for Machine Translation13. Learning to Combine Machine Translation SystemsReferencesContributorsIndex
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