APPLICATION OF INFORMATION TECHNOLOGIES FOR SEMANTIC TEXT PROCESSING

Journal Title: Scientific Journal of Astana IT University - Year 2020, Vol 2, Issue 2

Abstract

An expert system for text analysis based on the heuristic knowledge of an expert linguist is proposed. Methods of linguistic analysis of the text through the use of computer technology have been further developed. Data verification was performed on the example of the Germanic language group. The algorithm of the system operation is given. The sequence of actions of the text analysis process is described. Research relates to the subject of computational linguistics and helps to automate text analysis processes. The main purpose of the research is to improve the machine’s understanding of the semantic structure of the text by finding current connections between the main members of the sentence, current connections between secondary members of the sentence, the best concept of the current word and the function of the current word in the sentence. Semantic networks are used in the software solution. The Java programming shell, such as NetBeans IDE 8.1, and the CLIPS shell, were used to create the software product. The main logical connections and structure of the program are described in the article. Methods and relations are considered on the example of the Germanic group of languages. All languages of the Germanic group are similar because they have a direct line of words which makes them even more similar: subject + predicate + subordinate clauses. Thus, to reflect the structure of the Germanic group of languages, it is sufficient to consider one of them. Namely, English, as it is the most common (1.5 billion people), international, has the largest vocabulary among the group (500 thousand words) and, in our opinion, the most complex.

Authors and Affiliations

O. Kravchenko, Zh. Plakasova, M. Gladka, А. Karapetyan, S. Besedina

Keywords

Related Articles

FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES

Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences...

MULTIDIMENSIONAL DATABASES IN INFORMATION SYSTEMS OF UNIVERSITIES

The article is devoted to the description of the method of multidimensional database, which is an effective method of data storage, which allows analyzing data qualitatively, and most importantly in a short time. The a...

ISSUES OF ICT INTEGRATION IN RURAL SECONDARY SCHOOLS OF KAZAKHSTAN

The problem with attaining education equality for various categories of the population has been one of the priority topics of social and political studies. Kazakhstan has recently stated the aim to ensure equal access fo...

CONFIDENTIAL INFORMATION SECRET METHOD

The article deals with the issues of hiding text information in a graphic file. Most often, one or two least significant bits of the image pixels are modified. To do this, each byte of the secret message is divided into...

SYSTEM OF PREVENTIVE АCTION OF CONSTRUCTION ENTERPRISES ON THE BASIS OF IDENTIFICATION OF ANTICRISIS POTENTIAL

Peculiarities of formation of anti-crisis potential of construction enterprises are considered. Construction companies are rapidly adapting to the requirements of the digital economy, transforming the management struct...

Download PDF file
  • EP ID EP704400
  • DOI 10.37943/AITU.2020.75.91.002
  • Views 83
  • Downloads 1

How To Cite

O. Kravchenko, Zh. Plakasova, M. Gladka, А. Karapetyan, S. Besedina (2020). APPLICATION OF INFORMATION TECHNOLOGIES FOR SEMANTIC TEXT PROCESSING. Scientific Journal of Astana IT University, 2(2), -. https://europub.co.uk/articles/-A-704400