Ni Chuanbin, Jin Xiaobing
School of Foreign Languages and Cultures, Nanjing Normal University, Nanjing, China.
Front Psychol. 2020 Dec 17;11:552140. doi: 10.3389/fpsyg.2020.552140. eCollection 2020.
The current study attended to predict L2 lexical attrition by means of a Decision Tree model (DT model) in three emotional dimensions, that is, the valence dimension, the arousal dimension, and the dominance dimension. A sample of 188 participants whose L1 was Chinese and L2 was English performed a recognition test of 500 words for measuring the L2 lexical attrition. The findings explored by the Decision Tree model indicated that L2 lexical attrition could be predicted in all the three emotional dimensions in two aspects: (1) among the three emotional dimensions, the valence dimension was the most powerful in predicting L2 lexical attrition, followed successively by the dominance dimension and the arousal dimension; (2) most of the neutral words in the three emotional dimensions were predicted to be inferior to emotional words in L2 attrition. In addition, the modified Revised Hierarchical Model for emotion could be adopted to justify the modulation of the emotion-memory effects upon L2 lexical attrition.
本研究旨在通过决策树模型(DT模型)在三个情感维度,即效价维度、唤醒维度和优势维度上预测二语词汇损耗。选取188名母语为中文、二语为英语的参与者作为样本,进行了一项500个单词的识别测试以测量二语词汇损耗。决策树模型的研究结果表明,二语词汇损耗在所有三个情感维度上都可以从两个方面进行预测:(1)在三个情感维度中,效价维度在预测二语词汇损耗方面最为有力,其次依次是优势维度和唤醒维度;(2)在三个情感维度中,大多数中性词在二语损耗方面预计不如情感词。此外,可以采用修正后的情感层次模型来解释情感-记忆效应在二语词汇损耗上的调节作用。