Overview
- Considers Machine Aided Translation as well as Machine Translation
- Step-by-step construction of a fully functional translator's workbench, the principle architecture for MAT in current use
- Up to date discussion of Computational Linguistics and Artificial Intelligence issues and theories
Part of the book series: Applied Computing (APPLCOMP)
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Table of contents (11 chapters)
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Front Matter
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Background
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Front Matter
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Machine-Aided Translation
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Front Matter
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Machine Translation
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Front Matter
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Common Issues
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Front Matter
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Back Matter
Keywords
About this book
MT on the Internet has become an important tool by providing fast, economical and useful translations. With globalisation and expanding trade, demand for translation is set to grow.
Translation Engines covers theoretical and practical aspects of MT, both classic and new, including:
- Character sets and formatting languages
- Translation memory
- Linguistic and computational foundations
- Basic computational linguistic techniques
- Transfer and interlingua MT
- Evaluation
Software accompanies the text, providing readers with hands on experience of the main algorithms.
Authors and Affiliations
Bibliographic Information
Book Title: Translation Engines: Techniques for Machine Translation
Authors: Arturo Trujillo
Series Title: Applied Computing
DOI: https://doi.org/10.1007/978-1-4471-0587-9
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1999
Softcover ISBN: 978-1-85233-057-6Published: 08 October 1999
eBook ISBN: 978-1-4471-0587-9Published: 06 December 2012
Series ISSN: 1431-1542
Edition Number: 1
Number of Pages: XII, 303
Number of Illustrations: 3 b/w illustrations
Topics: Natural Language Processing (NLP), Translation, Artificial Intelligence