Реєстраційний номер
2120U009905, Матеріали видань та локальних репозитаріїв
Категорія
Стаття
Назва роботи
Application of information technologies for semantic text processing
Автор
Kravchenko Olga
Plakasova Zhanetta
Gladka Myroslava
Karapetyan Anait
Besedina Svitlana
Кравченко Ольга Віталіївна
Плакасова Жаннета Миколаївна
Гладка Мирослава Вікторівна
Карапетян Анаіт Радіківна
Бєсєдіна Світлана Валеріївна
Kravchenko Olga
Plakasova Zhanetta
Gladka Myroslava
Karapetyan Anait
Besedina Svitlana
Kravchenko Olha Vitaliivna
Plakasova Zhanneta Mykolaivna
Hladka Myroslava Viktorivna
Karapetyan Anait Radikivna
Biesiedina Svitlana Valeriivna
Дата публікації
01-01-2020
Постачальник інформації
Черкаський державний технологічний університет
Першоджерело
https://er.chdtu.edu.ua/handle/ChSTU/3200
Видання
Scientific Journal of Astana IT University
Опис
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.
Додано/оновлено в НРАТ
2026-04-27
