Overview

This book constitutes the refereed proceedings of the 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002, held in Tiburon, CA, USA, in October 2002. The 18 revised full technical papers, 3 user studies, and 9 system descriptions presented were carefully reviewed and selected for inclusion in the book. Among the issues addressed are hybrid translation environments, resource-limited MT, statistical word-level alignment, word formation rules, rule learning, web-based MT, translation divergences, example-based MT, data-driven MT, classification, contextual translation, the lexicon building process, commercial MT systems, speeck-to-speech translation, and language checking systems.

Full Product Details

Author:   Stephen D. Richardson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2002 ed.
Volume:   2499
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.880kg
ISBN:  

9783540442820

ISBN 10:   3540442820
Pages:   258
Publication Date:   24 September 2002
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Technical Papers.- Automatic Rule Learning for Resource-Limited MT.- Toward a Hybrid Integrated Translation Environment.- Adaptive Bilingual Sentence Alignment.- DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment.- Text Prediction with Fuzzy Alignments.- Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models.- Using Word Formation Rules to Extend MT Lexicons.- Example-Based Machine Translation via the Web.- Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation.- Korean-Chinese Machine Translation Based on Verb Patterns.- Merging Example-Based and Statistical Machine Translation: An Experiment.- Classification Approach to Word Selection in Machine Translation.- Better Contextual Translation Using Machine Learning.- Fast and Accurate Sentence Alignment of Bilingual Corpora.- Deriving Semantic Knowledge from Descriptive Texts Using an MT System.- Using a Large Monolingual Corpus to Improve Translation Accuracy.- Semi-automatic Compilation of Bilingual Lexicon Entries from Cross-Lingually Relevant News Articles on WWW News Sites.- Bootstrapping the Lexicon Building Process for Machine Translation between ‘New’ Languages.- User Studies.- A Report on the Experiences of Implementing an MT System for Use in a Commercial Environment.- Getting the Message In: A Global Company’s Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems.- An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company.- System Descriptions.- Fluent Machines’ EliMT System.- LogoMedia TRANSLATE™, Version 2.0.- Natural Intelligence in a Machine TranslationSystem.- Translation by the Numbers: Language Weaver.- A New Family of the PARS Translation Systems.- MSR-MT: The Microsoft Research Machine Translation System.- The NESPOLE! Speech-to-Speech Translation System.- The KANTOO MT System: Controlled Language Checker and Lexical Maintenance Tool.- Approaches to Spoken Translation.

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