АКТУАЛЬНЫЕ ПОДХОДЫ К УЛУЧШЕНИЮ ТОЧНОСТИ НЕЙРОННОГО МАШИННОГО ПЕРЕВОДА

科研成果: Article

摘要

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.
投稿的翻译标题TOPICAL APPROACHES TO THE IMPROVEMENT OF NEURAL MACHINE TRANSLATION
源语言Russian
页(从-至)284-287
页数4
期刊Вестник Брянского государственного университета
1 (31)
Published - 2017

Level of Research Output

  • VAK List

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