Statistical machine translation
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based…
Read More ↓Title Statements
- Full title :Statistical machine translation.
Summary
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.
Read More ↓Edition Statements
- Publication Date:2010.
Publication Statements
- Publisher(s):Campridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2010.
The Physical Object
- Description:xii, 433 s
Edition Identifiers
- ISBN:9780521874151, 0521874157
- oclc:ocn760876185
- LC Classification:P308
Table of Contents
Preface; Part I. Foundations: 1. Introduction; 2. Words, sentences, corpora; 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.
Read More ↓Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Challenges for Arabic machine translation
Challenges for Arabic machine translation
Machine translation systems
Machine translation systems
Machine translation systems
Machine translation systems
Machine translation systems
Machine translation systems
Machine translation systems
Machine translation systems
Files & Downloads
-
Statistical Machine Translation -- (.pdf)
PDF · 5.4 MB · updated -
Statistical machine translation : textbook -- (.p…
PDF · 1.6 MB · updated
Rate & Review