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Corpus-Driven Analysis of Conceptual Metaphor in Artificial Intelligence Language:A Sample of ChatGPT-Written Speeches
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作者 Yang Yang 《Journal of Contemporary Educational Research》 2023年第12期77-85,共9页
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 met... 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. 展开更多
关键词 artificial intelligence language ChatGPT Conceptual metaphor IDENTIFICATION
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A PRELIMINARY STUDY OF EXPERT SYSTEM FOR MINING UNDER STRUCTURES
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作者 吴侃 何国清 曹立明 《Journal of China University of Mining and Technology》 1991年第1期97-104,共8页
The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems for mining under structures by means of computers ... The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems for mining under structures by means of computers instead of humanbeing. Based on the experience of relative experts,the authors established a knowledge base about the minings under structures,researched into reasonable method to simulate thinking processes of human experts when they are solving the problems, established the network of an expert system and named it ' MUST system' . MUST system uses the method of the structural system analysis approach. A kind of methods of Turbo Prolog and Fortran 77 language alternations is designed to meet the needs of exchange information within the MUST system. Based on this kind of methods MUST system has been constructed and realised on IBM-PC computer. For verifying the correctness, suitability and reliablity of MUST system,some practical examples of minings under structures were tentatively solved using MUST system,whose results are satisfactory. 展开更多
关键词 expert system knowledge base inference system.artificial intelligence language Turbo Prolog language
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