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Machine translation technologies

Authors: ELS IPR BOOKS;

Machine translation technologies

Abstract

The textbook describes systems and modern methods of machine translation for natural language. The publication can be used for undergraduate, graduate and doctoral students of the specialties “Information Systems”, “Information Security Systems”, “Informatics”. This book can be used for graduate and master\'s theses in computational linguistics and artificial intelligence. Practical tasks are given for each chapter to repeat the topic. The last chapter provides a post-editing system in machine translation. The textbook is intended for students studying in an enlarged group of specialties and areas of higher education “Linguistics and literary studies”, studying the discipline “Information Technology in translation”.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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