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Statistical Machine Translation

Statistical Machine Translation

by Philipp Koehn

Machine translatingComputational linguisticsStatisticsTranslating and interpretingData processing
0.0
Open Library
Open Library

About this book

"The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher in the field, provides a gentle and accessible introduction to the latest methods and enables the reader to build machine translation systems for any language pair." "It provides the necessary grounding in linguistics and probabilities, and 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 reports on the latest research and outstanding challenges, and enables novices as well as experienced researchers to make contributions to the field. It is ideal for students at undergraduate and graduate level, or for any reader interested in the latest developments in machine translation."--Jacket.

Themes & subjects

Machine translatingComputational linguisticsStatisticsTranslating and interpretingData processing

Author

Philipp Koehn

Pages

433

Read time

≈ 11h

Editions

6

Language

English

Publisher

Cambridge University Press

ISBN

9781282653313

Where to buy

TR
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