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Ontological Approach for Generating Natural Language Texts from Knowledge Base
Longwei Qian, Wenzu Li
semantic model for generating fluent, multi-sentence, appropriate natural language text (e.g., Chinese
Research of large language modelsfor text generation and their practical application
Markov, A. N., Zyryanova, M. M., Asadchy, A. E.
This research is aimed at the study of large language models designed for translation and text
Model transformations for intelligent systems engineering
Dorodnykh, N. O., Yurin, A. Yu., Pavlov, N. Yu., Korshunov, S. A., Sopp, D. Yu.
of the formation of a computation-independent model. A new domain-specific language – Transformation Model
Natural language dialogue modelling with deep learning
Chistova E.V., Shelmanov A.O., Smirnov I.V.
encoder-decoder model with its attention mechanism modification was carried out on the Russian-language
Non-procedural problem-solving models in next-generation intelligent computer systems
Orlov, M., Vasilevskaya, A.
on nonprocedural models is considered. The developed approach makes it possible to integrate any problem
Экспресс-анализ структурных и электронных свойств наноматериалов методами Big Data, Large Language models & Generative AI
Шиманский, Н. А., Баглов, А. В., Хорошко, Л. С.
Language models & Generative AI
ВЛИЯНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА НА ФОРМИРОВАНИЕ ЯЗЫКА И НА ОНЛАЙН-ОБЩЕНИЕ
Пугачев А.А.
intelligence, the author has analyzed the transformation of language. The main thesis of this work
The real value of words: how target language linguistic modelling of foreign language teaching content shapes students’ professional identity
Bagiyan A.Y., Shiryaeva T.A., Tikhonova E.V., Mekeko N.M.
teaching; Language for specific purposes; Pragmatics; Axiology; Linguistic modelling; Target language
Natural language text generation using machine learning methods
Egorov I.M., Vinogradov A.N.
This paper is devoted to the problem of language modeling. Natural language analysis in relation
Ontology Method for Chinese Language Processing
Qian, L., Sadouski, M. E., Li, W., Цянь, Л., Садовский, М. Е., Ли, В.
This paper describes a method for computer processing of Chinese language texts based on Chinese

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