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Machine Translation: From Research to Real Users

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Cover of 'Machine Translation: From Research to Real Users'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Automatic Rule Learning for Resource-Limited MT
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    Chapter 2 Toward a Hybrid Integrated Translation Environment
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    Chapter 3 Adaptive Bilingual Sentence Alignment
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    Chapter 4 DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment
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    Chapter 5 Text Prediction with Fuzzy Alignments
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    Chapter 6 Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models
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    Chapter 7 Using Word Formation Rules to Extend MT Lexicons
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    Chapter 8 Example-Based Machine Translation via the Web
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    Chapter 9 Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
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    Chapter 10 Korean-Chinese Machine Translation Based on Verb Patterns
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    Chapter 11 Merging Example-Based and Statistical Machine Translation: An Experiment
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    Chapter 12 Classification Approach to Word Selection in Machine Translation
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    Chapter 13 Better Contextual Translation Using Machine Learning
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    Chapter 14 Fast and Accurate Sentence Alignment of Bilingual Corpora
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    Chapter 15 Deriving Semantic Knowledge from Descriptive Texts Using an MT System
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    Chapter 16 Using a Large Monolingual Corpus to Improve Translation Accuracy
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    Chapter 17 Semi-automatic Compilation of Bilingual Lexicon Entries from Cross-Lingually Relevant News Articles on WWW News Sites
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    Chapter 18 Bootstrapping the Lexicon Building Process for Machine Translation between ‘New’ Languages
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    Chapter 19 A Report on the Experiences of Implementing an MT System for Use in a Commercial Environment
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    Chapter 20 Getting the Message In: A Global Company’s Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems
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    Chapter 21 An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company
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    Chapter 22 Fluent Machines’ EliMT System
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    Chapter 23 LogoMedia TRANSLATE™, Version 2.0
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    Chapter 24 Natural Intelligence in a Machine Translation System
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    Chapter 25 Translation by the Numbers: Language Weaver
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    Chapter 26 A New Family of the PARS Translation Systems
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    Chapter 27 MSR-MT: The Microsoft Research Machine Translation System
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    Chapter 28 The NESPOLE! Speech-to-Speech Translation System
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    Chapter 29 The KANTOO MT System: Controlled Language Checker and Lexical Maintenance Tool
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    Chapter 30 Approaches to Spoken Translation
Attention for Chapter 20: Getting the Message In: A Global Company’s Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems
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Chapter title
Getting the Message In: A Global Company’s Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems
Chapter number 20
Book title
Machine Translation: From Research to Real Users
Published by
Springer, Berlin, Heidelberg, October 2002
DOI 10.1007/3-540-45820-4_20
Book ISBNs
978-3-54-044282-0, 978-3-54-045820-3
Authors

Verne Morland, Morland, Verne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Researcher 3 10%
Student > Master 2 6%
Lecturer 1 3%
Other 3 10%
Unknown 15 48%
Readers by discipline Count As %
Computer Science 6 19%
Linguistics 3 10%
Business, Management and Accounting 1 3%
Agricultural and Biological Sciences 1 3%
Social Sciences 1 3%
Other 2 6%
Unknown 17 55%