АКТУАЛЬНЫЕ ПОДХОДЫ К УЛУЧШЕНИЮ ТОЧНОСТИ НЕЙРОННОГО МАШИННОГО ПЕРЕВОДА

Translated title of the contribution: TOPICAL APPROACHES TO THE IMPROVEMENT OF NEURAL MACHINE TRANSLATION

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Abstract

This article reviews topical approaches dealing with the problem of accuracy of neural machine translation. Classification of these approaches is provided in two groups: structural and linguistic. Moreover, the article sheds light on the most common problems of systems with neural machine translation. Effectiveness of the methods reviewed in this article is assessed based on BLEU metrics for the English-German language pair. Conclusions about the assessment of effectiveness of these methods are given in the closing part of the article.
Translated title of the contributionTOPICAL APPROACHES TO THE IMPROVEMENT OF NEURAL MACHINE TRANSLATION
Original languageRussian
Pages (from-to)284-287
Number of pages4
JournalВестник Брянского государственного университета
Issue number1 (31)
Publication statusPublished - 2017

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