인공지능과 인간의 의사소통에 관한 기호음성학적 일고찰

초록

Our research is at the most basic stage for natural voice communication with artificial intelligence. The direct connection between phonology and emotions or the meaning of the text does not reveal the reality. Multidisciplinary tasks are required in this regard. Convergent collaboration from phonetics, phonology, linguistics, psychology, to data science, will play a crucial role in reinforcing the phonetic aspects of human reality. Convergent collaboration from phonetics, phonology, linguistics, psychology, to data science, will play a crucial role in reinforcing the phonetic aspects of virtual reality that humans experience. With this perception, we first reviewed a situation in which phonological studies were excluded in terms of meaning. And the reason was found in André Martinet's theory, 'Double articulation'. We tried to explain theoretically that research on the direct relationship between phonology and meaning is possible. For this study, we borrowed part of Benveniste's thesis, "Sémiologie de la langue" and the Prosody theory of Meschonnic. What we have noted in these studies is that the factors that can affect the meaning of texts and works are not just at the stage of the signified of a sign. Meschonnic concludes that "Signifier creates meaning everywhere, that is, 'signifiance' produced by the signifier." And poetics already show that research on this continues. However, this study should be conducted not only on qualitative research on phonology but also on quantitative research on whole phonology and meaning.

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