LEXICOGRAPHIC PROBLEMS OF MACHINE TRANSLATION SYSTEMS ON THE WAY FROM LITERAL TO NEURAL

LEXICOGRAPHIC PROBLEMS OF MACHINE TRANSLATION SYSTEMS ON THE WAY FROM LITERAL TO NEURAL

The article discusses some current issues of interpreting out-of-vocabulary words by modern machine translation systems (MT systems) in the context of changing forms and ways of maintaining an automatic dictionary. It provides a critical outline of the typology of MT systems and strategies for their...

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Bibliographic Details
Main Authors: Larisa N. Beliaeva, Olga N. Kamshilova
Format: Article
Language:English
Published: Volgograd State University 2024-11-01
Series:Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie
Subjects:
machine translation
machine translation strategy
typology of machine translation systems
automatic dictionary
out-of-vocabulary words
linguistic support
Online Access:https://l.jvolsu.com/index.php/en/archive-en/928-science-journal-of-volsu-linguistics-2024-vol-23-no-5/artificial-intelligence-potential-in-natural-language-processing-and-machine-translation/2836-beliaeva-l-n-kamshilova-o-n-lexicographic-problems-of-machine-translation-systems-on-the-way-from-literal-to-neural
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https://l.jvolsu.com/index.php/en/archive-en/928-science-journal-of-volsu-linguistics-2024-vol-23-no-5/artificial-intelligence-potential-in-natural-language-processing-and-machine-translation/2836-beliaeva-l-n-kamshilova-o-n-lexicographic-problems-of-machine-translation-systems-on-the-way-from-literal-to-neural

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