중국어 색채어의 신경망 기계 번역과 대화형 AI 번역 결과 비교분석 -‘黑+중첩접미사’류 형용사의 중한번역을 중심으로-

초록

This study aims to compare and analyze the results of neural network machine translation and generative AI machine translation for color adjectives containing the Chinese '黑+compound suffix' Firstly, within the realm of Chinese language, 'Hyper Clova X' by the domestic company Naver provides higher-quality translations among both domestic and international conversational AI language models. Subsequently, when examining translations of sentences with '黑+compound suffix' type adjectives, the existing neural network machine translation program 'Papago' and the conversational AI language model 'Hyper Clova X' were compared, revealing that, in general, Clova X exhibited superior translation quality. Finally, in utilizing conversational AI language models for Chinese translation, users should be attentive to potential errors in Korean particles, verb endings, and other grammatical elements. Additionally, caution is advised when the input sentence contains condensed information, as this may increase the likelihood of errors in the output. Building upon this research, it is anticipated that ongoing studies in related fields will continue to explore diverse Chinese syntactic structures, facilitating the coexistence and development of AI technology and human communication in various contexts.

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