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Machine Translation

Overview of attention for book
Cover of 'Machine Translation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Five Generations of MT
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    Chapter 3 An Artificial Intelligence Approach to Machine Translation
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    Chapter 4 It Works but How Far Can It Go: Evaluating the SYSTRAN MT System
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    Chapter 5 Where Am I Coming From: The Reversibility of Analysis and Generation in Natural Language Processing
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    Chapter 6 What are Interlinguas for MT: Natural Languages, Logics or Arbitrary Notations?
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    Chapter 7 Stone Soup and the French Room: The Statistical Approach to MT at IBM
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    Chapter 8 The Revival of US Government MT Research in 1990
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    Chapter 9 The Role of Linguistic Knowledge Resources in MT
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    Chapter 10 The Automatic Acquisition of Lexicons for an MT System
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    Chapter 11 Senses and Texts
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    Chapter 12 Sense Projection
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    Chapter 13 Lexical Tuning
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    Chapter 14 What Would Pragmatics-Based Machine Translation be Like?
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    Chapter 15 Where was MT at the End of the Century: What Works and What Doesn’t?
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    Chapter 16 The Future of MT in the New Millennium
Attention for Chapter 13: Lexical Tuning
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Chapter title
Lexical Tuning
Chapter number 13
Book title
Machine Translation
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-72774-5_13
Book ISBNs
978-0-387-72773-8, 978-0-387-72774-5
Authors

Yorick Wilks, Wilks, Yorick

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