Abstract:
The article deals with the use of entropy criteria to identify language mistakes in spontaneous oral speech. The key problems of synergetics as an interdisciplinary scientific trend are analyzed. Speech in the form of an oral statement (text) is studied as a complex multi-level synergistic system. Its structure is analyzed within the framework of multidimensionality. Some aspects of the experimental approach to calculating entropy in the oral speech of bachelor, master, doctoral students and specialists are outlined, and experimental data demonstrating the results are presented. A linguo-mathematical model for speech diagnostics of specialists is proposed. It is built on the basis of the fundamental law of conservation of the sum of information and entropy using the Shannon formula. In addition, the article shows the importance of synergetics in linguistics that represents today a new unifying trend, the purpose of which is to identify common ideas, methods, patterns of language transition from one level of organization to another. It should be noted that present day linguistic research requires the use of digital technologies, computer science, mathematics and other methods of information processing to identify the essence of linguistic phenomena. Today computer technologies play the key role in all the spheres of social life, so the main type of human activity is increasingly the ways and methods of obtaining, storing and expanding knowledge and information. Thus, the most urgent task of present day linguistic education is the use of digital technologies in scientific research. Alongside with this, there arise new aspects of discussing and considering the synergetic approach to analyzing a language. At the present stage of language education one of these issues is studying speech diagnostics in the flow of professional communication.
Page(s):
4716-4725
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 13, Year: 2022
Keywords:
Linguistics
,
information
,
speech
,
Digital technologies
,
Diagnostics