의미망 분석과 다의성 판정의 원리
The Principle of Semantic Network Analysis and Polysemy Identification
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In this study we examine previous studies of semantic networks and polysemy, and suggest an alternative method of analyzing semantic networks and identifying polysemy. Langacker's(2002) innovative network model is useful in that it explains the structure of polysemy in terms of psychological reality. However, two problems arise when it is applied to the analysis of polysemous words: (ⅰ) the meaning of categorization in his work is not identical to Rosch's(1975) original definition; (ⅱ) Langacker's model does not deal with the categorical difference of meaning extension. For instance, the schema of a verb is more abstract than that of a noun, because a verb profiles a process, characterized schematically as a relationship. The problem of polysemy fallacy can be resolved by considering the level of the schema, a conclusion supported by simulation semantics. The mirror activity of neurons in the brain reflects this simulation phenomenon and provides some principles by which we can analyze polysemy more consistently in terms of psychological reality. The semantic network of a noun is developed through similarity identification, since the language user's attention is focused on static properties. The semantic network of a verb, on the other hand, is developed by simulating related experiences, since the language user's attention in this case is focused on a relationship as it evolves through time.
Abstract
In this study we examine previous studies of semantic networks and polysemy, and suggest an alternative method of analyzing semantic networks and identifying polysemy. Langacker's(2002) innovative network model is useful in that it explains the structure of polysemy in terms of psychological reality. However, two problems arise when it is applied to the analysis of polysemous words: (ⅰ) the meaning of categorization in his work is not identical to Rosch's(1975) original definition; (ⅱ) Langacker's model does not deal with the categorical difference of meaning extension. For instance, the schema of a verb is more abstract than that of a noun, because a verb profiles a process, characterized schematically as a relationship. The problem of polysemy fallacy can be resolved by considering the level of the schema, a conclusion supported by simulation semantics. The mirror activity of neurons in the brain reflects this simulation phenomenon and provides some principles by which we can analyze polysemy more consistently in terms of psychological reality. The semantic network of a noun is developed through similarity identification, since the language user's attention is focused on static properties. The semantic network of a verb, on the other hand, is developed by simulating related experiences, since the language user's attention in this case is focused on a relationship as it evolves through time.
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