Conceptual Model for Automatic Proofreading of Technical Documents
Ixebayeva Z.S. Jetpisov K. Medeshova A.B. Kassymova A.Kh.
February 2023International Information and Engineering Technology Association
Revue dIntelligence Artificielle
2023#37Issue 1165 - 170 pp.
This study deals with a set of issues related to the development of a conceptual model for automatic proofreading of technical documentation. The purpose of this study is to investigate the prospects for creating the software for automatic proofreading of text documents with an assessment of the prospects for its subsequent implementation in various areas of scientific cognition and in activities of various educational institutions. The methodological approach is a combination of a systematic study of modern algorithms for checking technical documents with an analysis of the prospects for building a concept for creating an optimal model for automatic document proofreading. The main results of this study should be the definition of the main areas for the development of issues for the creation of the concept under consideration and identification of the constituent elements of the conceptual model for automatic proofreading of technical documentation, which is important from the standpoint of ensuring the proper level of quality of functioning of such a system. The prospects for further research in this area are determined by the relevance of the stated topic conditioned by the urgent need to develop and implement an effective system for verifying technical documents as soon as possible.
analysis , method , semantic search , structure , text
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Department of Information Systems, L.N. Gumilyov Eurasian National University, 2 Satpayev Str., Astana, 010008, Kazakhstan
Department of Computer Science, Makhambet Utemisov West Kazakhstan University, 162 Dostyk Str., Uralsk, 090000, Kazakhstan
Higher School of Information Technology, Zhangir Khan West Kazakhstan Agrarian Technical University, 51 Zhangir Khan Str., Uralsk, 090009, Kazakhstan
Department of Information Systems
Department of Computer Science
Higher School of Information Technology
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