Usage of Fourier transformation theory in machine translation

This paper is devoted to the study of machine translation based on Fourier transformation theory. Scientific and technological progress has led to the increase in the volume of scientific and technical information. A translator cannot cope with this flow of information. The use of machine translation is effective because of the high standardization of translation. Statistical machine translation is generated on the basis of statistical models. The task of the statistical machine translation is not to translate the text but to decode it. In this work, we propose to use Fourier transformation technique in statistical machine translation based on the methods of summation of Fourier series given by the set of functions of natural argument as opposed to existing ones. The proposed technique increases the efficiency of the machine translation.