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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/52899
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dc.contributor.authorSboev, A. G.-
dc.contributor.authorGryaznov, A. V.-
dc.contributor.authorRybka, R. B.-
dc.contributor.authorSkorokhodov, M. S.-
dc.contributor.authorMoloshnikov, I. A.-
dc.date.accessioned2023-05-04T07:05:29Z-
dc.date.available2023-05-04T07:05:29Z-
dc.date.issued2023-
dc.identifier.citationA deep learning method based on language models for processing natural language Russian commands in human robot interaction / A.G. Sboev [et al.] // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2023. - Т.9, №1.-С. 174-191. - Doi: 10.18413/2313-8912-2023-9-1-1-1.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/52899-
dc.description.abstractThis paper describes the transformation process complex Russian-speaking natural language commands into a formalized graph RDF format for interaction with the robotic platformru
dc.language.isoenru
dc.subjectlinguisticsru
dc.subjectapplied linguisticsru
dc.subjectinformation languagesru
dc.subjectprogramming languagesru
dc.subjectman and robotru
dc.subjectprocessing natural languageru
dc.subjectartificial intelligenceru
dc.subjecthuman-machine interfaceru
dc.titleA deep learning method based on language models for processing natural language Russian commands in human robot interactionru
dc.typeArticleru
Appears in Collections:Т. 9, вып. 1

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