Gulmira Bekmanova

Orcid: 0000-0001-8554-7627

According to our database1, Gulmira Bekmanova authored at least 26 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech.
Sensors, July, 2023

A review of intelligent interactive learning methods.
Frontiers Comput. Sci., 2023

Methods for Determining Emotion in Social Networks.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Development of an Ontological Model of Words in Public Political Discourse.
Proceedings of the 7th International Conference on Education and Multimedia Technology, 2023

Sentiment Processing of Socio-political Discourse and Public Speeches.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022
Emotional Speech Recognition Method Based on Word Transcription.
Sensors, 2022

Emotional Coloring of Kazakh People's Names in the Semantic Knowledge Database of "Fascinating Onomastics" Mobile Application.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Linguistic Foundations of Low-Resource Languages for Speech Synthesis on the Example of the Kazakh Language.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021
Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in Higher Education.
J. Comput. High. Educ., 2021

The Model of Curriculum Constructor.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Ontology-Based Extraction of Kazakh Language Word Combinations in Natural Language Processing.
Proceedings of the DATA'21: International Conference on Data Science, 2021

Intelligent learning systems for LLL courses: Intelligent learning systems for LLL courses.
Proceedings of the DATA'21: International Conference on Data Science, 2021

Sentiment Analysis Model Based on the Word Structural Representation.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2020
Intelligent System for Evaluating the Level of Formation of Professional Competencies of Students.
IEEE Access, 2020

Method of Sentiment Preservation in the Kazakh-Turkish Machine Translation.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Model of Intelligent Massive Open Online Course Development.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Flexible Model for Organizing Blended and Distance Learning.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Sentiment analysis of Kazakh text and their polarity.
Web Intell., 2019

Metalanguage and Knowledgebase for Kazakh Morphology.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Methods for Analyzing Polarity of the Kazakh Texts Related to the Terrorist Threats.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

A model and a method for assessing students' competencies in e-learning system.
Proceedings of the Second International Conference on Data Science, 2019

2017
Ontology-Based Sentiment Analysis of Kazakh Sentences.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

A Uniform Morphological Analyzer for the Kazakh and Turkish Languages.
Proceedings of the Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27, 2017

2016
Investigation and Use of Methods for Defining the Extends of Similarity of Kazakh Language Sentences.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

2014
Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language.
Computación y Sistemas, 2014

2012
Semantic neural network model of morphological rules of the agglutinative languages.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012


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