AUTOMATED TRANSLATION AND HOLOGRAPHIC IMAGING: PRINCIPLES, TECHNOLOGIES, APPLICATIONS, AND FUTURE DEVELOPMENT
Keywords:
automated translation, machine translation, neural machine translation, Transformer, artificial intelligence, holography, holographic imaging, interference, diffraction, digital holography.Abstract
Automated translation and holographic imaging are rapidly
developing technologies for processing and presenting complex information.
Automated translation applies computational linguistics, artificial intelligence and
neural networks to transform text or speech from a source language into a target
language. Holographic imaging uses coherent light, interference and diffraction to
record and reconstruct three-dimensional optical wavefronts. This article reviews
machine translation architectures, neural machine translation, Transformer models,
tokenization, attention, quality evaluation and human post-editing. It also explains the
physical principles of holography, digital holography, computer-generated
holography, reconstruction methods and three-dimensional display technologies.
Illustrated terminology, practical applications, technical limitations, security issues
and future integration with artificial intelligence are discussed.
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