Artificial neural networks and translation
Journal Title: Бюллетень науки и практики - Year 2017, Vol 3, Issue 6
Abstract
The relevance of the issue under study is enough high to worry and speculate about it, because technologies now are reaching the step, there it was not expected to see about 5–6 years ago. The purpose of the article is to understand, is it possible in the near future to make machine translator based Artificial Neural Network (ANN) able to remove live translators. The leading approach to the study is to compare statistical translation, translation by neural network and translation by the professional live translator, to see how high quality of translation by machine interpreter. The article considers the basic concepts of ANN, as well as modern artificial translators. The results showed that Artificial Intelligence developed on a very high level, but we are still at a great distance from technologies of that level and near future, it will eliminate professional translators, though, artificial translators influence on increasing level of language knowledge. The article may be useful for people interested in mechanisms of translation and for translators of all levels, as well as for programmers who are interested in Artificial Intelligence (AI) and all kind of translators, who want to know the future of their profession.
Authors and Affiliations
A. Baranova, E. Korchagin
Keywords
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- EP ID EP291376
- DOI 10.5281/zenodo.808888
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