每周论坛之五(总第220期):方心怡(中山大学),2019年9月30日下午

每周论坛之五(总第220期)

报告人:方心怡 博士

报告人单位:中山大学心理学系

题目:Computational models on object naming and transposed letter effect.

时间:2019 9 30 (周一,14:20-16:00

地点:中山大学东校园心理学系(南学院楼C座)305

报告简介:

    The computational model gives researchers unique opportunities to investigate the internal mechanisms of human cognition. In this talk, I will present two computational models simulated bilingual object naming and transposed letter effect respectively. First, patterns of object naming often differ between languages, but bilingual speakers develop convergent naming patterns in their two languages that are distinct from those of monolingual speakers of each language. This convergence appears to reflect interactions between lexical representations for the two languages. Second, the visual word recognition is the fundamental steps for reading. Previous studies showed that transposed letter (TL) words/nonwords are more similar to target than replaced letter (RL) words/nonwords do. This TL effects induced various arguments about the basic mechanism of visual word recognition. Our models provides a basis for future computational studies of how various input variables may affect bilingual naming patterns and visual word recognition.

报告人简介:

   方心怡,女,中山大学心理学系副研究员。研究兴趣为心理语言学与双语学习,并采用神经影像和电脑模拟等方法进行相关研究。