- Франчук, Н.П. (orcid.org/0000-0002-0213-143X) (2024) Automated natural language processing technologies: from transcription to machine translation In: . Вид-во УДУ імені Михайла Драгоманова, м. Київ, Україна, pp. 196-198.
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Abstract
The article discusses automated natural language processing technologies that cover the full range of tasks, from automatic transcription to machine translation. Modern methods, algorithms, and models are analyzed for processing text and audio data. Special attention is paid to integrating speech recognition, syntactic and semantic analysis, and text generation technologies. Achievements in the field of neural networks, particularly transformers, which are the basis of modern machine translation systems, are considered. Prospects for the use of these technologies in various fields are highlighted. The key challenges are outlined, including the problems of multilingualism, accuracy of textual data processing, and ethical aspects. Conclusions are drawn about further developing automated natural language processing technologies to ensure effective interlingual communication and automation of routine linguistic tasks.
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