DEPENDENCE OF THE QUALITY OF MACHINE TRANSLATION OF THE TEXT ON THE USED FOURIER TRANSFORMATION

Q3 Engineering
V. Sobchuk, Galina Kharkevych
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引用次数: 0

Abstract

Machine translation is widely used in the translation of commercial, technical, scientific information that is connected with the process of globalization and, accordingly, the expansion of the network of business relations. Mathematical methods related to machine translation of the texts have recently received new development due to the intensive development of Fourier transformation theory. Thus, the requirements for filtering accuracy in the processing of contrast signals and images have increased, allowing to create efficient filtering algorithms. Frequency algorithms are the most efficient of all the existing filtering algorithms, i.e., those where the coefficients of decomposition of the noisy signal by Fourier basis are the subject to processing. When using Fourier filtering algorithms, the properties of Fourier transformation play an important role, that depend on belonging to a particular class of differential functions. The necessary condition for the existence of the continuous Fourier transformation is the absolute convergence of some functions by means of which the real studied process is describing. In practice, the so-called “summation functions” are often used as simulated functions, which can be constructed using a linear matrix summation of Fourier series. As for the latter, scientists distinguish between both triangular and rectangular linear matrix methods. This paper is devoted to the study of the convergence conditions of Fourier transformations of both triangular and rectangular linear matrix methods for summing Fourier series. Moreover, this article shows that the rate of convergence of Fourier transformation of the rectangular linear Abel-Poisson method is at times faster than the rate of convergence of the analogous triangular linear Abel-Poisson method. This result can further significantly influence the choice of the more effective Fourier transformation used in the process of machine translation of the text.
文本机器翻译质量对所用傅立叶变换的依赖性
机器翻译广泛应用于与全球化进程有关的商业、技术、科学信息的翻译,从而扩大了商业关系网络。近年来,由于傅里叶变换理论的深入发展,与文本机器翻译相关的数学方法得到了新的发展。因此,对比度信号和图像处理中对滤波精度的要求有所增加,从而可以创建高效的滤波算法。频率算法是现有滤波算法中效率最高的,即对噪声信号的傅立叶基分解系数进行处理的算法。在使用傅里叶滤波算法时,傅里叶变换的性质起着重要的作用,它取决于是否属于一类特定的微分函数。连续傅里叶变换存在的必要条件是某些函数的绝对收敛,用它来描述实际研究的过程。在实践中,所谓的“求和函数”经常被用作模拟函数,它可以用傅立叶级数的线性矩阵求和来构造。对于后者,科学家区分了三角形线性矩阵法和矩形线性矩阵法。本文研究了三角线性矩阵法和矩形线性矩阵法的傅里叶变换的收敛条件。此外,本文还证明了矩形线性Abel-Poisson方法的傅里叶变换的收敛速度有时比类似三角形线性Abel-Poisson方法的收敛速度快。这一结果可以进一步显著影响在机器翻译文本过程中使用更有效的傅里叶变换的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Automation and Information Sciences
Journal of Automation and Information Sciences AUTOMATION & CONTROL SYSTEMS-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: This journal contains translations of papers from the Russian-language bimonthly "Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya i informatiki". Subjects covered include information sciences such as pattern recognition, forecasting, identification and evaluation of complex systems, information security, fault diagnosis and reliability. In addition, the journal also deals with such automation subjects as adaptive, stochastic and optimal control, control and identification under uncertainty, robotics, and applications of user-friendly computers in management of economic, industrial, biological, and medical systems. The Journal of Automation and Information Sciences will appeal to professionals in control systems, communications, computers, engineering in biology and medicine, instrumentation and measurement, and those interested in the social implications of technology.
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