International Journal of Electrical and Computer Engineering
Vol 13, No 5: October 2023

Development of an intelligent information resource model based on modern natural language processing methods

Zhanna Sadirmekova (M.Kh. Dulaty Taraz Regional University)
Madina Sambetbayeva (Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan)
Sandugash Serikbayeva (L.N. Gumilyov Eurasian National University)
Gauhar Borankulova (M.Kh. Dulaty Taraz Regional University)
Aigerim Yerimbetova (Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan)
Aslanbek Murzakhmetov (M.Kh. Dulaty Taraz Regional University)



Article Info

Publish Date
01 Oct 2023

Abstract

Currently, there is an avalanche-like increase in the need for automatic text processing, respectively, new effective methods and tools for processing texts in natural language are emerging. Although these methods, tools and resources are mostly presented on the internet, many of them remain inaccessible to developers, since they are not systematized, distributed in various directories or on separate sites of both humanitarian and technical orientation. All this greatly complicates their search and practical use in conducting research in computational linguistics and developing applied systems for natural text processing. This paper is aimed at solving the need described above. The paper goal is to develop model of an intelligent information resource based on modern methods of natural language processing (IIR NLP). The main goal of IIR NLP is to render convenient valuable access for specialists in the field of computational linguistics. The originality of our proposed approach is that the developed ontology of the subject area “NLP” will be used to systematize all the above knowledge, data, information resources and organize meaningful access to them, and semantic web standards and technology tools will be used as a software basis.

Copyrights © 2023






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...