傳統(tǒng)的命題符號(hào)理論認(rèn)為,概念表征獨(dú)立于主體的知覺運(yùn)動(dòng)系統(tǒng)并以抽象符號(hào)的形式存儲(chǔ)于語言記憶中,意義來源于非模態(tài)的符號(hào)。而知覺符號(hào)理論則認(rèn)為人們是通過對(duì)語言所描述的情境進(jìn)行知覺表征來理解語言的。以往有關(guān)語言理解中隱含物體顏色形狀信息的研究中,大部分集中在隱含顏色詞的句子加工,對(duì)詞匯加工、圖片歸類的研究寥寥無幾。本文基于模擬語義學(xué)的視角,以知覺符號(hào)系統(tǒng)為理論支撐,研究物體名詞的涉身語義信息對(duì)不同知覺線索效度的圖片歸類任務(wù)的影響,具體的研究問題是:（1）無啟動(dòng)條件下,被試對(duì)不同知覺線索效度的圖片歸類任務(wù)加工是否有差異?（2）英語啟動(dòng)條件下,物體名詞的涉身語義信息對(duì)不同知覺線索效度的圖片歸類任務(wù)是否有影響?（3）漢語啟動(dòng)條件下,物體名詞的涉身語義信息對(duì)不同知覺線索效度的圖片歸類任務(wù)是否有影響?（4）英漢語啟動(dòng)條件下,物體名詞的涉身語義信息對(duì)不同知覺線索效度的圖片歸類任務(wù)加工是否有差異?本研究采用3（啟動(dòng)條件:無啟動(dòng)、英語啟動(dòng)和漢語啟動(dòng)）×4（知覺信息線索效度:效度低、效度半低、效度半高、效度高）雙因素被試內(nèi)實(shí)驗(yàn)設(shè)計(jì),因變量為被試做圖片歸類任務(wù)時(shí)的反應(yīng)時(shí)和腦電數(shù)據(jù)。實(shí)驗(yàn)分為無啟動(dòng)、英語啟動(dòng)和漢語啟... 

【文章來源】：四川外國語大學(xué)重慶市

【文章頁數(shù)】：122 頁

【學(xué)位級(jí)別】：碩士

【文章目錄】：
摘要
Abstract
Acknowledgements
Abbreviations
Chapter One Introduction
    1.1 Research Background
    1.2 Research Objectives
    1.3 Methodology
    1.4 Significance of the Present Study
    1.5 Layout of the Thesis
Chapter Two Literature Review
    2.1 Definition of Key Concepts
        2.1.1 Perceptual Cues Validity
        2.1.2 Picture Categorization (PC)
    2.2 Simulation Semantics
    2.3 Theories of Conceptual Processing
        2.3.1 Propositional Symbol Theory
        2.3.2 Perceptual Symbol System
    2.4 Previous studies of Perceptual Cues Validity
        2.4.1 Previous studies of Perceptual Cues Validity on Lexical Level
        2.4.2 Previous studies of Perceptual Cues Validity on Sentence Level
        2.4.3 Limitations of Previous Studies Validity
    2.5 ERPs Technique and Language Research
        2.5.1 Introduction to ERPs Technique
        2.5.2 ERPs Components
            2.5.2.1 N100
            2.5.2.2 P200
            2.5.2.3 N300
            2.5.2.4 N400
Chapter Three Methodology
    3.1 Research Questions
    3.2 Experimental Design
    3.3 Method
        3.3.1 Subjects
        3.3.2 Materials
        3.3.3 Apparatus
        3.3.4 Procedure
    3.4 Data Recording and Collection
        3.4.1 Behavioral Data Recoding and Collection
        3.4.2 ERPs Data Recoding and Collection
Chapter Four Results and Discussion
    4.1 Behavioral Data Description and Analysis
        4.1.1 Behavioral Data of ACC and RT of PC Task under Non-Priming Condition (NPC)
        4.1.2 Behavioral Data of ACC and RT of PC Task under English Priming Condition (EPC)
        4.1.3 Behavioral Data of ACC and RT of PC Task under Chinese Priming Condition (CPC)
        4.1.4 Behavioral Data Comparison of RT of PC Task under EPC & CPC
        4.1.5 Discussion
    4.2 ERPs Data Description and Analysis
        4.2.1 ERPs Data Description and Analysis of PC Task under NPC
            4.2.1.1 70-120ms Epoch
            4.2.1.2 140-230ms Epoch
            4.2.1.3 280-360ms Epoch
            4.2.1.4 390-480ms Epoch
        4.2.2 ERPs Data Description and Analysis of PC Task under EPC
            4.2.2.1 70-120ms Epoch
            4.2.2.2 140-230ms Epoch
            4.2.2.3 280-360ms Epoch
            4.2.2.4 390-480ms Epoch
        4.2.3 ERPs Data Description and Analysis of PC Task under CPC
            4.2.3.1 70-120ms Epoch
            4.2.3.2 140-230ms Epoch
            4.2.3.3 280-360ms Epoch
            4.2.3.4 390-480ms Epoch
        4.2.4 ERPs Data Comparison of PC Task under EPC & CPC
            4.2.4.1 70-120ms Epoch
            4.2.4.2 140-230ms Epoch
            4.2.4.3 280-360ms Epoch
            4.2.4.4 390-480ms Epoch
        4.2.5 Discussion
    4.3 General Discussion
Chapter Five Conclusions
    5.1 Major Findings
    5.2 Pedagogical Implications
    5.3 Limitations and Suggestions for future studies
References
Appendix 1: The Introduction and Materials for Experiment One
Appendix 2: The Instruction and Materials for Experiment Two
Appendix 3: The Introduction and Materials for Experiment Three
Appendix 4: Five-point Rating Scale of Word Familiarity
Appendix 5: Five-point Rating Scale of Judgment on Picture Recognition


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