Corpus-Driven Analysis of Conceptual Metaphor in Artificial Intelligence Language:A Sample of ChatGPT-Written Speeches  

作　　者：Yang Yang 

机构地区：[1]School of Foreign Languages,Qinghai University,Xining 810016,Qinghai Province,China

出　　处：《Journal of Contemporary Educational Research》2023年第12期77-85,共9页当代教育研究（百图）

摘　　要：Based on Conceptual Metaphor Theory(CMT),this paper creates a tiny corpus of ChatGPT-written speeches.Through employing a corpus-driven approach,this study analyzes the identification and utilization of conceptual metaphors in artificial intelligence(AI)languages.The AI demonstrated its capacity to utilize metaphors in the metaphoric corpora through the display of diversity,non-arbitrariness,repetition,and intersectionality in the selection of source domains.It often uses vocabulary combinations with clear similarities to establish metaphorical meaning.In the literal sense,the outcomes of metaphor identification by artificial intelligence differ significantly from those of humans.Therefore,there is a need to develop advanced automatic models for identifying metaphors in order to enhance the precision of metaphor identification consistently.

关 键 词：Artificial intelligence language ChatGPT Conceptual metaphor IDENTIFICATION 

分 类 号：H31[语言文字—英语]