Abstract This study adopts a corpus-based behavioral profile approach, combining multifactorial usage-feature analysis with frequency-based quantitative analysis, to investigate the diachronic semasiological variation of the Mandarin Chinese temperature term 热 re ‘hot’. The result shows a dynamic behavioral profile, i.e., both the usage patterns and the semasiological structural weight of senses have been constantly shifting. The semasiology of re has been becoming more and more diversified over time. Methodologically, this study extends the traditional behavioral profile approach—hierarchical agglomerative cluster analysis by applying multiple correspondence analysis and corroborating its validity in accounting for and visualizing the multifactorial nature of semasiological change of lexical items. Theoretically, the present study not only corroborates basic assumptions of usage-based cognitive semantics (e.g., non-discreteness, non-equality of senses, and bodily experience) but also complements it by demonstrating that sociocultural factors also play an important role in semasiological boundary variation of a lexical item.

中文翻译：

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迈向汉语普通话温度术语的动态行为特征：一种历时的语义学方法

摘要 本研究采用基于语料库的行为特征分析方法，将多因素使用特征分析与基于频率的定量分析相结合，研究汉语普通话温度术语“热re”的历时语义变化。结果显示了动态的行为特征，即感觉的使用模式和语义结构权重都在不断变化。随着时间的推移，re 的语义学变得越来越多样化。在方法论上，本研究通过应用多重对应分析并证实其在解释和可视化词汇项目语义变化的多因素性质方面的有效性，扩展了传统的行为概况方法——分层凝聚聚类分析。理论上，