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  • Инструментальные средства извлечения терминов из текстов: разработка компонентов для русского языка
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October 6, 2026
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Инструментальные средства извлечения терминов из текстов: разработка компонентов для русского языка

С. 94–105.
Bolshakova E. I., Машонский И. Д.
Language: Russian
Keywords: ававтоматическое извлечение терминовинструментальные системы для терминологии

In book

Программные системы и инструменты: Тематический сборник, № 20
МАКС Пресс, 2020.
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Методы и средства извлечения терминов из текстов для терминологических задач
Bolshakova E. I., Семак В. В., Программные продукты и системы 2025 Т. 38 № 1 С. 5–16
The current state in the field of automatic term extraction from specialized natural language texts, including scientific and technical documents, is considered. Practical applications of methods and tools for extracting terms from texts include creation of terminological dictionaries, thesauri, and glossaries of problem oriented domains, as well as extraction of keywords and construction of subject ...
Added: July 2, 2025
Term extraction for constructing subject index of educational scientific text
Bolshakova E. I., Ivanov K., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 30 мая — 2 июня 2018 г.)Вып. 17(24).: М.: Издательский центр «Российский государственный гуманитарный университет», 2018. P. 143–152.
Subject index, or back-of-the-book index, is a device intended to provide an easy access to relevant fragments of a text document. Subject indexes usually contain particular single-word and multi-word terms from the corresponding documents. Such indexes are especially useful for reading large documents with specialized terminology, as well as educational texts in difficult scientific and ...
Added: September 12, 2018
A Heuristics Strategy for Extracting Terms from Scientific Texts
Bolshakova E. I., Efremova N. E., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 285–295.
The paper describes a strategy that applies heuristics to combine sets of terminological words and words combination pre-extracted from a scientific text by several term recognition procedures. Each procedure is based on a collection of lexico-syntactic patterns representing specific linguistic information about terms within scientific texts. Our strategy is aimed to improve the quality of ...
Added: December 16, 2015
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