Learning Objectives
Define Conceptual Metaphor Theory (CMT) and explain the SOURCE DOMAIN → TARGET DOMAIN mapping structure
Analyze ARGUMENT IS WAR and its complete set of structural entailments in language
Explain how LLMs learn metaphorical patterns implicitly from large-scale training corpora
Identify metaphor coherence constraints and how they structure and constrain AI reasoning
The systematic nature of conceptual metaphor and how LLMs implicitly learn metaphorical mappings from training data.
This lesson builds on the theoretical foundations established earlier in the module and extends your understanding of how cognitive-linguistic principles apply directly to modern AI systems.
Learning Objectives
Define Conceptual Metaphor Theory (CMT) and explain the SOURCE DOMAIN → TARGET DOMAIN mapping structure
Analyze ARGUMENT IS WAR and its complete set of structural entailments in language
Explain how LLMs learn metaphorical patterns implicitly from large-scale training corpora
Identify metaphor coherence constraints and how they structure and constrain AI reasoning
Key Concepts
Define Conceptual Metaphor Theory (CMT) and explain the SOURCE DOMAIN → TARGET DOMAIN mapping structure
Analyze ARGUMENT IS WAR and its complete set of structural entailments in language
Explain how LLMs learn metaphorical patterns implicitly from large-scale training corpora
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