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Multi-linguistic analysis of the uniqueness of scientific and educational texts based on lexically related components
Author(s) -
И В Ковалев,
Д. И. Ковалев,
A A Voroshilova,
Е В Туева,
E. V. Tuev
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1691/1/012084
Subject(s) - uniqueness , interlanguage , computer science , linguistics , process (computing) , natural language processing , associative property , artificial intelligence , mathematics , philosophy , mathematical analysis , pure mathematics , operating system
The article presents computer modeling and the development of algorithmic and information tools to support multilingual analysis of the uniqueness of scientific and educational texts using the technique of lexically related components. This new educational and communication methodology allows the formation of interlanguage and intralingual associative links. The authors carried out a theoretical and informational analysis of the communication structure and information base in computer modeling of the process of multilingual analysis of the uniqueness of texts. The development of algorithmic and information tools for supporting multilingual analysis of the uniqueness of texts on the basis of lexically related components with the formation of interlanguage and intra-lingual associative links has been carried out. As a result of the work, a new method of computer modeling of multilingual analysis of the uniqueness of texts is proposed, focused on the formation of intralingual and interlanguage associative links. To implement the proposed methodology in the process of multilingual analysis of the uniqueness of texts, the structure of frequency lexically related dictionaries has been developed as a means of information and terminological support.

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