监督语义差异法用于跨文化概念分析:以人类情感为例
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
AI总结:
本文提出跨语言监督语义差异法(SSD),通过对齐的多语言词嵌入比较语义维度,并以波兰语、英语和法语情感规范词汇为例,验证了情感维度的跨语言可恢复性及文化差异。
摘要:
跨文化比较心理意义需要超越词汇层面的翻译,并考察语义维度在不同语言中的组织方式。我们提出了监督语义差异法(SSD)的跨语言扩展,该方法在嵌入空间中估计监督语义梯度,并在对齐的多语言词嵌入之间进行比较。该方法通过置换检验和自助法区间检验梯度对齐性和差异,并通过围绕差异梯度的聚类解释残差差异。我们在波兰语、英语和法语情感规范词汇上展示了该方法,对效价、唤醒度和优势度(如可用)进行建模。情感维度在语言和模型设置中显著可恢复。跨语言比较显示出广泛的对齐性以及结构化的残差差异:效价似乎是共享的,而唤醒度和优势度产生了更多可解释的对比,涉及身体威胁、审美刺激、内部情感性、宏观权威和日常控制。几个聚类也反映了语料库特定的伪影,强调了谨慎解释的必要性。跨语言SSD提供了一个可解释的框架,用于测试语义对齐性、识别差异,并生成关于心理意义跨文化差异的假设。
英文摘要:
Cross-cultural comparison of psychological meaning requires methods that go beyond word-level translation and examine how semantic dimensions are organized across languages. We introduce a cross-lingual extension of the Supervised Semantic Differential (SSD), which estimates supervised semantic gradients in embedding space and compares them across aligned multilingual word embeddings. The method tests gradient alignment and difference using permutation procedures and bootstrap intervals, and interprets residual differences through clustering around the difference gradient. We demonstrate the approach on Polish, English, and French affective norm lexicons, modeling Valence, Arousal, and Dominance where available. Affective dimensions were significantly recoverable across languages and model settings. Cross-lingual comparisons showed broad alignment together with structured residual differences: Valence appeared mostly shared, whereas Arousal and Dominance produced more interpretable contrasts involving bodily threat, aesthetic stimulation, internal emotionality, macro-level authority, and everyday control. Several clusters also reflected corpus-specific artifacts, underscoring the need for cautious interpretation. Cross-lingual SSD offers an explainable framework for testing semantic alignment, identifying divergence, and generating hypotheses about cross-cultural differences in psychological meaning.
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