Мachine translation technologies. Neurotranslation

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Doklady Bashkirskogo Universiteta. 2018. Volume 3. No. 6. pp. 711-715.

Authors

Miftakhova R. G.*
Bashkir State University
32 Zaki Validi Street, 450074 Ufa, Republic of Bashkortostan, Russia
Cherepanova E. M.
Bashkir State University
32 Zaki Validi Street, 450074 Ufa, Republic of Bashkortostan, Russia

Abstract

The technologies of machine translation are constantly changing, and every new solution improves the quality of machine translation. The seemingly well-established methods of statistical machine translation are being replaced by the methods of neural translation. The article aims to trace the development of methods for natural language processing in machine translation, to determine the degree of elaboration of neural models and its prospects. Various approaches to the modeling of machine translation with the justification of the advantages and disadvantages of each model were investigated.

Keywords

  • neurotranslation
  • machine translation
  • natural language processing
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