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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

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    Book Overview
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    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
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Machine Translation: From Research to Real Users
Published by
Springer Berlin Heidelberg, June 2003
DOI 10.1007/3-540-45820-4
978-3-54-044282-0, 978-3-54-045820-3

Richardson, Stephen D.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Master 2 29%
Student > Postgraduate 2 29%
Student > Ph. D. Student 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Business, Management and Accounting 1 14%
Linguistics 1 14%
Social Sciences 1 14%
Engineering 1 14%
Other 0 0%