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Statistical machine translation book download
Content (more slides will be added over the next weeks). Chapter 1: Introduction; Chapter 2: Words, Sentences, Corpora; Chapter 3: Probability Theory; Chapter 4: Word-Based Models slides; Chapter 5: Phrase-Based Models slides; Chapter 6: Decoding slides; Chapter 7: Language Models slides; Chapter 8: Evaluation. "Philipp Koehn has provided the first comprehensive text for this rapidly growing field of statistical machine translation. This book is an invaluable resource for students, researcher, and software developers, providing a lucid and detailed presentation of all the important ideas needed to understand or create a state-of- the-art. 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.
Print publication year: ; Online ISBN: ; /CBO Subjects: Computer Science, Computational Linguistics, Language and Linguistics, Artificial Intelligence and Natural Language Processing. Export citation; Buy the print book. Contents. Information; Contents; Metrics. 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 - Selection from Statistical Machine Translation [Book]. Book. Bibliometrics Data Bibliometrics. · Citation Count: · Downloads ( cumulative): n/a · Downloads (12 Months): n/a · Downloads (6 Weeks): n/a This introductory text to statistical machine translation (SMT) provides all of the theories and methods needed to build a statistical machine translator, such as Google.
The official airline of ESSLLI is Lufthansa; the book prize of the student session is sponsored by Springer Verlag. Statistical machine translation. • Find most probable English sentence given a foreign language sentence. • Automatically align words and phrases within sentence pairs in a parallel corpus. This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing. 28 Apr Especially, statistical machine translation (SMT), a branch of MT, has only become popularized since the s. However, the 'old' ingredients of linguistic and mathematical knowledge are necessary and a must in this new field. The foundation part of this book (the first three chapters) introduces the basic.