Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Bulletin of the Nati...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Bulletin of the National Technical University «KhPI» : Series of «Information and Modeling»
Article . 2011
Data sources: CyberLeninka - Russian open access scientific library
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Разработка подхода к созданию алгоритма синтаксического анализа естественно-языкового текста информационно-поисковых систем

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Національний технічний університет «Харківський політехнічний інститут»Journal:Вестник Национального технического университета Харьковский политехнический институт. Серия: Информатика и моделирование (issn: 2079-0031, Copyright policy )

Разработка подхода к созданию алгоритма синтаксического анализа естественно-языкового текста информационно-поисковых систем

Abstract

Рассмотрены существующие методы синтаксического анализа естественно-языкового текста и выделены основные преимущества и недостатки. Разработан усовершенствованный алгоритм синтаксического анализа. Показано, что параллельное использование синтаксического и семантического анализа позволяет сократить временные затраты на обработку естественно-языкового текста. Ил.: 1. Библиогр.: 10 назв.

The article deals with the existing methods of parsing natural language text. The main advantages and disadvantages were identified. Developed an improved algorithm for parsing. It is shown that the parallel use of syntactic and semantic analysis can reduce the time required for processing natural language text. Figs.: 1. Refs.: 10 titles.

Keywords

СИНТАКСИЧЕСКИЙ АНАЛИЗ, СЕМАНТИЧЕСКИЙ АНАЛИЗ, ЕСТЕСТВЕННО-ЯЗЫКОВЫЙ ТЕКСТ, СИНТАКСИЧНИЙ АНАЛіЗ, СЕМАНТИЧНИЙ АНАЛіЗ, ПРИРОДНО-МОВНИЙ ТЕКСТ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold