Statistical machine translation / Philipp Koehn
Material type: TextPublication details: United Kingdom Cambridge University Press 2010Description: 433 pISBN:- 9780521874151
- 418.0202 KOE-P
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Reference | BITS Pilani Hyderabad | 400 | Text & Reference Section (Student cannot borrow these books) | 418.0202 KOE-P (Browse shelf(Opens below)) | Available | 38520 |
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.
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