The design and development of the Kazakh language terminology recognition platform in IT field is one of the important means for more effective use of term resources in the field. Used a conditional random field (CRF) and manual modification method in the platform and based on the characteristics of the Kazakh language itself, this paper analyzes the rules of terminology formation and related terminology identification methods as well as describes the basic framework of the term recognition platform and the workflow and main functions of the training corpus, terminology recognition, feature template and term extraction in the system.
This paper introduces the design and construction process of a bilingual machine translation auxiliary tool between Chinese and Kazakh languages. The tool uses the Jieba word segmentation tool to segment the input sentence, and then translates it according to the two language correspondence and rule-based dictionary method. This paper introduces the development and implementation process and overall framework of said auxiliary tool, and the role of some functional modules of it.
The bearing elements of power plants, internal combustion engines of jet engines, nuclear thermal power plants, gas-generating power plants, processing lines, and spacecraft antennas are rods of variable cross-section. They work in a difficult temperature environment. In this paper, we propose an algorithm for applying the fundamental law of energy conservation for a deep study of the resulting thermal-stress-strain state of a rod of limited length and variable cross-section in the simultaneous presence of local temperatures, heat exchange and thermal insulation. At the same time, the obtained solutions in the form of determining the temperature field, displacement, all the components of deformations and stresses, as well as the calculated values of the rod elongation and the resulting axial force are highly accurate at the level of satisfying the energy conservation law.
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